diff --git a/docs/_posts/ahmedlone127/2023-12-29-1030_en.md b/docs/_posts/ahmedlone127/2023-12-29-1030_en.md new file mode 100644 index 0000000000000..4e91e43bf43a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-1030_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 1030 DistilBertForSequenceClassification from tingchih +author: John Snow Labs +name: 1030 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1030` is a English model originally trained by tingchih. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1030_en_5.2.2_3.0_1703893284059.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1030_en_5.2.2_3.0_1703893284059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("1030","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("1030","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|1030| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tingchih/1030 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-22s_dl_sentiment_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-22s_dl_sentiment_1_en.md new file mode 100644 index 0000000000000..5e3470f927840 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-22s_dl_sentiment_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 22s_dl_sentiment_1 DistilBertForSequenceClassification from DLochmelis33 +author: John Snow Labs +name: 22s_dl_sentiment_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`22s_dl_sentiment_1` is a English model originally trained by DLochmelis33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/22s_dl_sentiment_1_en_5.2.2_3.0_1703889238506.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/22s_dl_sentiment_1_en_5.2.2_3.0_1703889238506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("22s_dl_sentiment_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("22s_dl_sentiment_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|22s_dl_sentiment_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DLochmelis33/22s-dl-sentiment-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-607_demo_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-607_demo_model_en.md new file mode 100644 index 0000000000000..f70725a4f3214 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-607_demo_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 607_demo_model DistilBertForSequenceClassification from mgreenbe +author: John Snow Labs +name: 607_demo_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`607_demo_model` is a English model originally trained by mgreenbe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/607_demo_model_en_5.2.2_3.0_1703873477575.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/607_demo_model_en_5.2.2_3.0_1703873477575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("607_demo_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("607_demo_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|607_demo_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mgreenbe/607-demo-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-607_live_demo_yelp_polarity_en.md b/docs/_posts/ahmedlone127/2023-12-29-607_live_demo_yelp_polarity_en.md new file mode 100644 index 0000000000000..6fef160437208 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-607_live_demo_yelp_polarity_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 607_live_demo_yelp_polarity DistilBertForSequenceClassification from mgreenbe +author: John Snow Labs +name: 607_live_demo_yelp_polarity +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`607_live_demo_yelp_polarity` is a English model originally trained by mgreenbe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/607_live_demo_yelp_polarity_en_5.2.2_3.0_1703878692618.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/607_live_demo_yelp_polarity_en_5.2.2_3.0_1703878692618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("607_live_demo_yelp_polarity","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("607_live_demo_yelp_polarity","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|607_live_demo_yelp_polarity| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mgreenbe/607-live-demo-yelp-polarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-action_from_text_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-action_from_text_model_en.md new file mode 100644 index 0000000000000..c39f2afb23c4c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-action_from_text_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English action_from_text_model DistilBertForSequenceClassification from piotrtrochim +author: John Snow Labs +name: action_from_text_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`action_from_text_model` is a English model originally trained by piotrtrochim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_from_text_model_en_5.2.2_3.0_1703864365479.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_from_text_model_en_5.2.2_3.0_1703864365479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("action_from_text_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("action_from_text_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|action_from_text_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/piotrtrochim/action_from_text_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-active_learn_econ_en.md b/docs/_posts/ahmedlone127/2023-12-29-active_learn_econ_en.md new file mode 100644 index 0000000000000..47b2166aac643 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-active_learn_econ_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English active_learn_econ DistilBertForSequenceClassification from kama-brown +author: John Snow Labs +name: active_learn_econ +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`active_learn_econ` is a English model originally trained by kama-brown. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/active_learn_econ_en_5.2.2_3.0_1703868609461.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/active_learn_econ_en_5.2.2_3.0_1703868609461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_econ","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_econ","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|active_learn_econ| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kama-brown/active_learn_econ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-agitationtextv1_en.md b/docs/_posts/ahmedlone127/2023-12-29-agitationtextv1_en.md new file mode 100644 index 0000000000000..1aa89f012e088 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-agitationtextv1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English agitationtextv1 DistilBertForSequenceClassification from Dinithi +author: John Snow Labs +name: agitationtextv1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agitationtextv1` is a English model originally trained by Dinithi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agitationtextv1_en_5.2.2_3.0_1703877754534.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agitationtextv1_en_5.2.2_3.0_1703877754534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("agitationtextv1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("agitationtextv1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|agitationtextv1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Dinithi/AgitationTextV1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-albert_distilbert_base_uncased_fine_tune_winogrande_ep_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-albert_distilbert_base_uncased_fine_tune_winogrande_ep_1_en.md new file mode 100644 index 0000000000000..a6df20fa590be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-albert_distilbert_base_uncased_fine_tune_winogrande_ep_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English albert_distilbert_base_uncased_fine_tune_winogrande_ep_1 DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: albert_distilbert_base_uncased_fine_tune_winogrande_ep_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_distilbert_base_uncased_fine_tune_winogrande_ep_1` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_distilbert_base_uncased_fine_tune_winogrande_ep_1_en_5.2.2_3.0_1703882026972.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_distilbert_base_uncased_fine_tune_winogrande_ep_1_en_5.2.2_3.0_1703882026972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("albert_distilbert_base_uncased_fine_tune_winogrande_ep_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("albert_distilbert_base_uncased_fine_tune_winogrande_ep_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|albert_distilbert_base_uncased_fine_tune_winogrande_ep_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/albert-distilbert-base-uncased-fine-tune-winogrande-ep-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_en.md b/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_en.md new file mode 100644 index 0000000000000..f3d784ae6e310 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English amazon_sentiment_sample_of_1900 DistilBertForSequenceClassification from ett1112 +author: John Snow Labs +name: amazon_sentiment_sample_of_1900 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_sentiment_sample_of_1900` is a English model originally trained by ett1112. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_sentiment_sample_of_1900_en_5.2.2_3.0_1703871567442.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_sentiment_sample_of_1900_en_5.2.2_3.0_1703871567442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_sentiment_sample_of_1900","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_sentiment_sample_of_1900","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|amazon_sentiment_sample_of_1900| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ett1112/amazon_sentiment_sample_of_1900 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_with_summary_en.md b/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_with_summary_en.md new file mode 100644 index 0000000000000..5603754a877ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-amazon_sentiment_sample_of_1900_with_summary_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English amazon_sentiment_sample_of_1900_with_summary DistilBertForSequenceClassification from ett1112 +author: John Snow Labs +name: amazon_sentiment_sample_of_1900_with_summary +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_sentiment_sample_of_1900_with_summary` is a English model originally trained by ett1112. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_sentiment_sample_of_1900_with_summary_en_5.2.2_3.0_1703867427917.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_sentiment_sample_of_1900_with_summary_en_5.2.2_3.0_1703867427917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_sentiment_sample_of_1900_with_summary","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_sentiment_sample_of_1900_with_summary","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|amazon_sentiment_sample_of_1900_with_summary| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ett1112/amazon_sentiment_sample_of_1900_with_summary \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-amazonpolarity_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-amazonpolarity_distilbert_5e_en.md new file mode 100644 index 0000000000000..b084f3d9ede77 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-amazonpolarity_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English amazonpolarity_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: amazonpolarity_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazonpolarity_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazonpolarity_distilbert_5e_en_5.2.2_3.0_1703880519259.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazonpolarity_distilbert_5e_en_5.2.2_3.0_1703880519259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazonpolarity_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazonpolarity_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|amazonpolarity_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pig4431/amazonPolarity_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ausklasser_de.md b/docs/_posts/ahmedlone127/2023-12-29-ausklasser_de.md new file mode 100644 index 0000000000000..f84326275360f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ausklasser_de.md @@ -0,0 +1,97 @@ +--- +layout: model +title: German ausklasser DistilBertForSequenceClassification from KKrueger +author: John Snow Labs +name: ausklasser +date: 2023-12-29 +tags: [bert, de, open_source, sequence_classification, onnx] +task: Text Classification +language: de +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ausklasser` is a German model originally trained by KKrueger. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ausklasser_de_5.2.2_3.0_1703870230359.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ausklasser_de_5.2.2_3.0_1703870230359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ausklasser","de")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ausklasser","de") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ausklasser| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|de| +|Size:|252.5 MB| + +## References + +https://huggingface.co/KKrueger/ausklasser \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-author_en.md b/docs/_posts/ahmedlone127/2023-12-29-author_en.md new file mode 100644 index 0000000000000..f8e35a0813199 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-author_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English author DistilBertForSequenceClassification from whorseman +author: John Snow Labs +name: author +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`author` is a English model originally trained by whorseman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/author_en_5.2.2_3.0_1703891870029.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/author_en_5.2.2_3.0_1703891870029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("author","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("author","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|author| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/whorseman/author \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autonlp_cai_out_of_scope_649919118_en.md b/docs/_posts/ahmedlone127/2023-12-29-autonlp_cai_out_of_scope_649919118_en.md new file mode 100644 index 0000000000000..b7a7b25c0e086 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autonlp_cai_out_of_scope_649919118_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autonlp_cai_out_of_scope_649919118 DistilBertForSequenceClassification from msamogh +author: John Snow Labs +name: autonlp_cai_out_of_scope_649919118 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_cai_out_of_scope_649919118` is a English model originally trained by msamogh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_cai_out_of_scope_649919118_en_5.2.2_3.0_1703886076202.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_cai_out_of_scope_649919118_en_5.2.2_3.0_1703886076202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_cai_out_of_scope_649919118","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_cai_out_of_scope_649919118","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autonlp_cai_out_of_scope_649919118| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/msamogh/autonlp-cai-out-of-scope-649919118 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autonlp_myclassification_fortext_16332728_en.md b/docs/_posts/ahmedlone127/2023-12-29-autonlp_myclassification_fortext_16332728_en.md new file mode 100644 index 0000000000000..05ec00b07b702 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autonlp_myclassification_fortext_16332728_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autonlp_myclassification_fortext_16332728 DistilBertForSequenceClassification from staceythompson +author: John Snow Labs +name: autonlp_myclassification_fortext_16332728 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_myclassification_fortext_16332728` is a English model originally trained by staceythompson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_myclassification_fortext_16332728_en_5.2.2_3.0_1703865208088.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_myclassification_fortext_16332728_en_5.2.2_3.0_1703865208088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_myclassification_fortext_16332728","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_myclassification_fortext_16332728","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autonlp_myclassification_fortext_16332728| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/staceythompson/autonlp-myclassification-fortext-16332728 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autonlp_nepal_bhasa_text_classification_38319698_en.md b/docs/_posts/ahmedlone127/2023-12-29-autonlp_nepal_bhasa_text_classification_38319698_en.md new file mode 100644 index 0000000000000..d3d020b57b034 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autonlp_nepal_bhasa_text_classification_38319698_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autonlp_nepal_bhasa_text_classification_38319698 DistilBertForSequenceClassification from staceythompson +author: John Snow Labs +name: autonlp_nepal_bhasa_text_classification_38319698 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_nepal_bhasa_text_classification_38319698` is a English model originally trained by staceythompson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_nepal_bhasa_text_classification_38319698_en_5.2.2_3.0_1703884786962.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_nepal_bhasa_text_classification_38319698_en_5.2.2_3.0_1703884786962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_nepal_bhasa_text_classification_38319698","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_nepal_bhasa_text_classification_38319698","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autonlp_nepal_bhasa_text_classification_38319698| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/staceythompson/autonlp-new-text-classification-38319698 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autonlp_shipping_status_2_27366103_en.md b/docs/_posts/ahmedlone127/2023-12-29-autonlp_shipping_status_2_27366103_en.md new file mode 100644 index 0000000000000..667f591eeae5e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autonlp_shipping_status_2_27366103_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autonlp_shipping_status_2_27366103 DistilBertForSequenceClassification from jwuthri +author: John Snow Labs +name: autonlp_shipping_status_2_27366103 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_shipping_status_2_27366103` is a English model originally trained by jwuthri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_shipping_status_2_27366103_en_5.2.2_3.0_1703884989634.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_shipping_status_2_27366103_en_5.2.2_3.0_1703884989634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_shipping_status_2_27366103","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autonlp_shipping_status_2_27366103","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autonlp_shipping_status_2_27366103| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/jwuthri/autonlp-shipping_status_2-27366103 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_commonsence_689620825_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_commonsence_689620825_en.md new file mode 100644 index 0000000000000..8237db7e45f88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_commonsence_689620825_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_commonsence_689620825 DistilBertForSequenceClassification from unjustify +author: John Snow Labs +name: autotrain_commonsence_689620825 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_commonsence_689620825` is a English model originally trained by unjustify. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_commonsence_689620825_en_5.2.2_3.0_1703882616858.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_commonsence_689620825_en_5.2.2_3.0_1703882616858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_commonsence_689620825","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_commonsence_689620825","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_commonsence_689620825| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/unjustify/autotrain-commonsence-689620825 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448780_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448780_en.md new file mode 100644 index 0000000000000..3ee1b3359806b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448780_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_imdb_1275448780 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_imdb_1275448780 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_imdb_1275448780` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448780_en_5.2.2_3.0_1703876030723.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448780_en_5.2.2_3.0_1703876030723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448780","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448780","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_imdb_1275448780| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-imdb-1275448780 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448783_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448783_en.md new file mode 100644 index 0000000000000..b88191317da04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448783_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_imdb_1275448783 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_imdb_1275448783 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_imdb_1275448783` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448783_en_5.2.2_3.0_1703888563391.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448783_en_5.2.2_3.0_1703888563391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448783","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448783","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_imdb_1275448783| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-imdb-1275448783 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448784_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448784_en.md new file mode 100644 index 0000000000000..7f876dc2ebae7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_imdb_1275448784_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_imdb_1275448784 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_imdb_1275448784 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_imdb_1275448784` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448784_en_5.2.2_3.0_1703881255108.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_imdb_1275448784_en_5.2.2_3.0_1703881255108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448784","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_imdb_1275448784","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_imdb_1275448784| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-imdb-1275448784 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148991_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148991_en.md new file mode 100644 index 0000000000000..c3112d11eaa6e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148991_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_tweeteval_1281148991 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_tweeteval_1281148991 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_tweeteval_1281148991` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148991_en_5.2.2_3.0_1703865201069.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148991_en_5.2.2_3.0_1703865201069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148991","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148991","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_tweeteval_1281148991| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-TweetEval-1281148991 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148992_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148992_en.md new file mode 100644 index 0000000000000..561c489f59a72 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148992_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_tweeteval_1281148992 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_tweeteval_1281148992 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_tweeteval_1281148992` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148992_en_5.2.2_3.0_1703882748671.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148992_en_5.2.2_3.0_1703882748671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148992","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148992","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_tweeteval_1281148992| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-TweetEval-1281148992 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148994_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148994_en.md new file mode 100644 index 0000000000000..30abbc1770b4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148994_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_tweeteval_1281148994 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_tweeteval_1281148994 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_tweeteval_1281148994` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148994_en_5.2.2_3.0_1703860947344.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148994_en_5.2.2_3.0_1703860947344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148994","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148994","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_tweeteval_1281148994| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-TweetEval-1281148994 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148995_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148995_en.md new file mode 100644 index 0000000000000..a3f6a9507a742 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_distilbert_tweeteval_1281148995_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_tweeteval_1281148995 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_tweeteval_1281148995 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_tweeteval_1281148995` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148995_en_5.2.2_3.0_1703874393746.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148995_en_5.2.2_3.0_1703874393746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148995","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148995","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_tweeteval_1281148995| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-TweetEval-1281148995 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_finetunedmodel1_1034535555_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_finetunedmodel1_1034535555_en.md new file mode 100644 index 0000000000000..5b44d8610b925 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_finetunedmodel1_1034535555_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_finetunedmodel1_1034535555 DistilBertForSequenceClassification from deepesh0x +author: John Snow Labs +name: autotrain_finetunedmodel1_1034535555 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_finetunedmodel1_1034535555` is a English model originally trained by deepesh0x. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_finetunedmodel1_1034535555_en_5.2.2_3.0_1703870831771.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_finetunedmodel1_1034535555_en_5.2.2_3.0_1703870831771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_finetunedmodel1_1034535555","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_finetunedmodel1_1034535555","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_finetunedmodel1_1034535555| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/deepesh0x/autotrain-finetunedmodel1-1034535555 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281767_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281767_en.md new file mode 100644 index 0000000000000..e376cf57f5a29 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281767_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_real_vs_fake_news_2757281767 DistilBertForSequenceClassification from Eip +author: John Snow Labs +name: autotrain_real_vs_fake_news_2757281767 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_real_vs_fake_news_2757281767` is a English model originally trained by Eip. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281767_en_5.2.2_3.0_1703887970509.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281767_en_5.2.2_3.0_1703887970509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281767","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281767","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_real_vs_fake_news_2757281767| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eip/autotrain-real-vs-fake-news-2757281767 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281768_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281768_en.md new file mode 100644 index 0000000000000..f92f333bf2238 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281768_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_real_vs_fake_news_2757281768 DistilBertForSequenceClassification from Eip +author: John Snow Labs +name: autotrain_real_vs_fake_news_2757281768 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_real_vs_fake_news_2757281768` is a English model originally trained by Eip. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281768_en_5.2.2_3.0_1703885274243.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281768_en_5.2.2_3.0_1703885274243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281768","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281768","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_real_vs_fake_news_2757281768| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eip/autotrain-real-vs-fake-news-2757281768 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281770_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281770_en.md new file mode 100644 index 0000000000000..d208f2dab22af --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_real_vs_fake_news_2757281770_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_real_vs_fake_news_2757281770 DistilBertForSequenceClassification from Eip +author: John Snow Labs +name: autotrain_real_vs_fake_news_2757281770 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_real_vs_fake_news_2757281770` is a English model originally trained by Eip. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281770_en_5.2.2_3.0_1703878428205.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_real_vs_fake_news_2757281770_en_5.2.2_3.0_1703878428205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281770","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_real_vs_fake_news_2757281770","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_real_vs_fake_news_2757281770| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eip/autotrain-real-vs-fake-news-2757281770 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_tweet_sentiment_classifier_1055036381_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_tweet_sentiment_classifier_1055036381_en.md new file mode 100644 index 0000000000000..07485f0b368d2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_tweet_sentiment_classifier_1055036381_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_tweet_sentiment_classifier_1055036381 DistilBertForSequenceClassification from kakashi210 +author: John Snow Labs +name: autotrain_tweet_sentiment_classifier_1055036381 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_tweet_sentiment_classifier_1055036381` is a English model originally trained by kakashi210. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_tweet_sentiment_classifier_1055036381_en_5.2.2_3.0_1703860993195.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_tweet_sentiment_classifier_1055036381_en_5.2.2_3.0_1703860993195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_tweet_sentiment_classifier_1055036381","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_tweet_sentiment_classifier_1055036381","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_tweet_sentiment_classifier_1055036381| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kakashi210/autotrain-tweet-sentiment-classifier-1055036381 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_twitter_sentiment_975432358_en.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_twitter_sentiment_975432358_en.md new file mode 100644 index 0000000000000..93359c6f23d76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_twitter_sentiment_975432358_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_twitter_sentiment_975432358 DistilBertForSequenceClassification from chradden +author: John Snow Labs +name: autotrain_twitter_sentiment_975432358 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_twitter_sentiment_975432358` is a English model originally trained by chradden. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_twitter_sentiment_975432358_en_5.2.2_3.0_1703883270029.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_twitter_sentiment_975432358_en_5.2.2_3.0_1703883270029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_twitter_sentiment_975432358","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_twitter_sentiment_975432358","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_twitter_sentiment_975432358| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chradden/autotrain-Twitter_Sentiment-975432358 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-autotrain_user_needs_full_train_test_split_94165146009_de.md b/docs/_posts/ahmedlone127/2023-12-29-autotrain_user_needs_full_train_test_split_94165146009_de.md new file mode 100644 index 0000000000000..3195927119e1b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-autotrain_user_needs_full_train_test_split_94165146009_de.md @@ -0,0 +1,97 @@ +--- +layout: model +title: German autotrain_user_needs_full_train_test_split_94165146009 DistilBertForSequenceClassification from NikoSmow +author: John Snow Labs +name: autotrain_user_needs_full_train_test_split_94165146009 +date: 2023-12-29 +tags: [bert, de, open_source, sequence_classification, onnx] +task: Text Classification +language: de +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_user_needs_full_train_test_split_94165146009` is a German model originally trained by NikoSmow. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_user_needs_full_train_test_split_94165146009_de_5.2.2_3.0_1703864873677.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_user_needs_full_train_test_split_94165146009_de_5.2.2_3.0_1703864873677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_user_needs_full_train_test_split_94165146009","de")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_user_needs_full_train_test_split_94165146009","de") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_user_needs_full_train_test_split_94165146009| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|de| +|Size:|252.5 MB| + +## References + +https://huggingface.co/NikoSmow/autotrain-user_needs_full_train_test_split-94165146009 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-background_distilebert_2023_02_21_18_52_en.md b/docs/_posts/ahmedlone127/2023-12-29-background_distilebert_2023_02_21_18_52_en.md new file mode 100644 index 0000000000000..bff18afa2dc2a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-background_distilebert_2023_02_21_18_52_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English background_distilebert_2023_02_21_18_52 DistilBertForSequenceClassification from leeju +author: John Snow Labs +name: background_distilebert_2023_02_21_18_52 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`background_distilebert_2023_02_21_18_52` is a English model originally trained by leeju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/background_distilebert_2023_02_21_18_52_en_5.2.2_3.0_1703883317627.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/background_distilebert_2023_02_21_18_52_en_5.2.2_3.0_1703883317627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("background_distilebert_2023_02_21_18_52","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("background_distilebert_2023_02_21_18_52","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|background_distilebert_2023_02_21_18_52| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.9 MB| + +## References + +https://huggingface.co/leeju/background-distilebert_2023-02-21_18-52 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-baseline_subtaskb_en.md b/docs/_posts/ahmedlone127/2023-12-29-baseline_subtaskb_en.md new file mode 100644 index 0000000000000..a9c80c541494b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-baseline_subtaskb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English baseline_subtaskb DistilBertForSequenceClassification from robertotraba +author: John Snow Labs +name: baseline_subtaskb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`baseline_subtaskb` is a English model originally trained by robertotraba. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/baseline_subtaskb_en_5.2.2_3.0_1703885896986.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baseline_subtaskb_en_5.2.2_3.0_1703885896986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("baseline_subtaskb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("baseline_subtaskb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|baseline_subtaskb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/robertotraba/baseline_SubTaskB \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert1_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert1_en.md new file mode 100644 index 0000000000000..7feb8dc06bbac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert1 DistilBertForSequenceClassification from madmancity +author: John Snow Labs +name: bert1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert1` is a English model originally trained by madmancity. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert1_en_5.2.2_3.0_1703893419491.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert1_en_5.2.2_3.0_1703893419491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/madmancity/bert1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_distilled_model_flip_sst2_data_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_distilled_model_flip_sst2_data_en.md new file mode 100644 index 0000000000000..38dea1fbced14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_distilled_model_flip_sst2_data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_distilled_model_flip_sst2_data DistilBertForSequenceClassification from ArafatBHossain +author: John Snow Labs +name: bert_distilled_model_flip_sst2_data +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_model_flip_sst2_data` is a English model originally trained by ArafatBHossain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_model_flip_sst2_data_en_5.2.2_3.0_1703889821966.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_model_flip_sst2_data_en_5.2.2_3.0_1703889821966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_distilled_model_flip_sst2_data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_distilled_model_flip_sst2_data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_distilled_model_flip_sst2_data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ArafatBHossain/bert-distilled-model-flip_sst2_data \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_andrewzolensky_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_andrewzolensky_en.md new file mode 100644 index 0000000000000..b109d3a0e2e1f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_andrewzolensky_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_emotion_andrewzolensky DistilBertForSequenceClassification from andrewzolensky +author: John Snow Labs +name: bert_emotion_andrewzolensky +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_andrewzolensky` is a English model originally trained by andrewzolensky. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_andrewzolensky_en_5.2.2_3.0_1703892401340.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_andrewzolensky_en_5.2.2_3.0_1703892401340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_andrewzolensky","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_andrewzolensky","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_emotion_andrewzolensky| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/andrewzolensky/bert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_notankit_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_notankit_en.md new file mode 100644 index 0000000000000..de2e119f2f77d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_emotion_notankit_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_emotion_notankit DistilBertForSequenceClassification from notankit +author: John Snow Labs +name: bert_emotion_notankit +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_notankit` is a English model originally trained by notankit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_notankit_en_5.2.2_3.0_1703873910904.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_notankit_en_5.2.2_3.0_1703873910904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_notankit","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_notankit","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_emotion_notankit| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/notankit/bert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_finetuned_emotions_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_finetuned_emotions_en.md new file mode 100644 index 0000000000000..e79ce267f66e8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_finetuned_emotions_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_finetuned_emotions DistilBertForSequenceClassification from i-am-rusty +author: John Snow Labs +name: bert_finetuned_emotions +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_emotions` is a English model originally trained by i-am-rusty. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotions_en_5.2.2_3.0_1703873911880.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotions_en_5.2.2_3.0_1703873911880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_finetuned_emotions","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_finetuned_emotions","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_finetuned_emotions| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/i-am-rusty/bert-finetuned-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_mod_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_1_en.md new file mode 100644 index 0000000000000..3cff6421ceb49 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_mod_1 DistilBertForSequenceClassification from Go2Heart +author: John Snow Labs +name: bert_mod_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mod_1` is a English model originally trained by Go2Heart. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mod_1_en_5.2.2_3.0_1703877920783.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mod_1_en_5.2.2_3.0_1703877920783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_mod_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Go2Heart/BERT_Mod_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_mod_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_2_en.md new file mode 100644 index 0000000000000..31745a82b611a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_mod_2 DistilBertForSequenceClassification from Go2Heart +author: John Snow Labs +name: bert_mod_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mod_2` is a English model originally trained by Go2Heart. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mod_2_en_5.2.2_3.0_1703892328976.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mod_2_en_5.2.2_3.0_1703892328976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_mod_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Go2Heart/BERT_Mod_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_mod_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_3_en.md new file mode 100644 index 0000000000000..c92d53780a6b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_mod_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_mod_3 DistilBertForSequenceClassification from Go2Heart +author: John Snow Labs +name: bert_mod_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mod_3` is a English model originally trained by Go2Heart. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mod_3_en_5.2.2_3.0_1703865706969.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mod_3_en_5.2.2_3.0_1703865706969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_mod_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_mod_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Go2Heart/BERT_Mod_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_2_en.md new file mode 100644 index 0000000000000..54ff36fe37e51 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_2 DistilBertForSequenceClassification from borjagomez +author: John Snow Labs +name: bert_model_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_2` is a English model originally trained by borjagomez. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_2_en_5.2.2_3.0_1703892670755.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_2_en_5.2.2_3.0_1703892670755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/borjagomez/bert_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_akadhim_ai_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_akadhim_ai_en.md new file mode 100644 index 0000000000000..1455ff4ae34eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_akadhim_ai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_akadhim_ai DistilBertForSequenceClassification from akadhim-ai +author: John Snow Labs +name: bert_model_akadhim_ai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_akadhim_ai` is a English model originally trained by akadhim-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_akadhim_ai_en_5.2.2_3.0_1703870908744.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_akadhim_ai_en_5.2.2_3.0_1703870908744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_akadhim_ai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_akadhim_ai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_akadhim_ai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/akadhim-ai/bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_martomor_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_martomor_en.md new file mode 100644 index 0000000000000..1d25a3ee428ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_martomor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_martomor DistilBertForSequenceClassification from martomor +author: John Snow Labs +name: bert_model_martomor +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_martomor` is a English model originally trained by martomor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_martomor_en_5.2.2_3.0_1703863384567.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_martomor_en_5.2.2_3.0_1703863384567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_martomor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_martomor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_martomor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/martomor/bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_mathissimo_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_mathissimo_en.md new file mode 100644 index 0000000000000..66001e54d1090 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_mathissimo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_mathissimo DistilBertForSequenceClassification from Mathissimo +author: John Snow Labs +name: bert_model_mathissimo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_mathissimo` is a English model originally trained by Mathissimo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_mathissimo_en_5.2.2_3.0_1703868870938.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_mathissimo_en_5.2.2_3.0_1703868870938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_mathissimo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_mathissimo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_mathissimo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mathissimo/bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_nbolton04_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_nbolton04_en.md new file mode 100644 index 0000000000000..d05cfb7aac47f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_nbolton04_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_nbolton04 DistilBertForSequenceClassification from nbolton04 +author: John Snow Labs +name: bert_model_nbolton04 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_nbolton04` is a English model originally trained by nbolton04. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_nbolton04_en_5.2.2_3.0_1703880279846.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_nbolton04_en_5.2.2_3.0_1703880279846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_nbolton04","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_nbolton04","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_nbolton04| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nbolton04/bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bert_model_ungjus_en.md b/docs/_posts/ahmedlone127/2023-12-29-bert_model_ungjus_en.md new file mode 100644 index 0000000000000..d55096f4155f7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bert_model_ungjus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_ungjus DistilBertForSequenceClassification from ungjus +author: John Snow Labs +name: bert_model_ungjus +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_ungjus` is a English model originally trained by ungjus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_ungjus_en_5.2.2_3.0_1703876043576.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_ungjus_en_5.2.2_3.0_1703876043576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_ungjus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_ungjus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_ungjus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ungjus/BERT_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-bigbird_roberta_base_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-29-bigbird_roberta_base_finetuned_emotion_en.md new file mode 100644 index 0000000000000..21b3746b4c8e8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-bigbird_roberta_base_finetuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bigbird_roberta_base_finetuned_emotion DistilBertForSequenceClassification from mysfi +author: John Snow Labs +name: bigbird_roberta_base_finetuned_emotion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bigbird_roberta_base_finetuned_emotion` is a English model originally trained by mysfi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bigbird_roberta_base_finetuned_emotion_en_5.2.2_3.0_1703882121931.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bigbird_roberta_base_finetuned_emotion_en_5.2.2_3.0_1703882121931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bigbird_roberta_base_finetuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bigbird_roberta_base_finetuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bigbird_roberta_base_finetuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mysfi/bigbird-roberta-base-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-blog_category_url_categorisation_en.md b/docs/_posts/ahmedlone127/2023-12-29-blog_category_url_categorisation_en.md new file mode 100644 index 0000000000000..81456e33257ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-blog_category_url_categorisation_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English blog_category_url_categorisation DistilBertForSequenceClassification from priyabrat +author: John Snow Labs +name: blog_category_url_categorisation +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`blog_category_url_categorisation` is a English model originally trained by priyabrat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/blog_category_url_categorisation_en_5.2.2_3.0_1703864220187.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/blog_category_url_categorisation_en_5.2.2_3.0_1703864220187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("blog_category_url_categorisation","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("blog_category_url_categorisation","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|blog_category_url_categorisation| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/priyabrat/Blog_category_url_categorisation \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model4_generateai_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model4_generateai_en.md new file mode 100644 index 0000000000000..a2103526ec178 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model4_generateai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model4_generateai DistilBertForSequenceClassification from generateai +author: John Snow Labs +name: burmese_awesome_model4_generateai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model4_generateai` is a English model originally trained by generateai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_generateai_en_5.2.2_3.0_1703883099423.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_generateai_en_5.2.2_3.0_1703883099423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_generateai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_generateai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model4_generateai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/generateai/my_awesome_model4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1112lee_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1112lee_en.md new file mode 100644 index 0000000000000..9a197ec604444 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1112lee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_1112lee DistilBertForSequenceClassification from 1112lee +author: John Snow Labs +name: burmese_awesome_model_1112lee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_1112lee` is a English model originally trained by 1112lee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1112lee_en_5.2.2_3.0_1703879162524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1112lee_en_5.2.2_3.0_1703879162524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1112lee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1112lee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_1112lee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/1112lee/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_mdj1412_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_mdj1412_en.md new file mode 100644 index 0000000000000..829d4c1cf4beb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_mdj1412_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_1_mdj1412 DistilBertForSequenceClassification from mdj1412 +author: John Snow Labs +name: burmese_awesome_model_1_mdj1412 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_1_mdj1412` is a English model originally trained by mdj1412. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1_mdj1412_en_5.2.2_3.0_1703873960566.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1_mdj1412_en_5.2.2_3.0_1703873960566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1_mdj1412","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1_mdj1412","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_1_mdj1412| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mdj1412/my_awesome_model_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_nawincom_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_nawincom_en.md new file mode 100644 index 0000000000000..6a2b02f8b1b4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_1_nawincom_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_1_nawincom DistilBertForSequenceClassification from NawinCom +author: John Snow Labs +name: burmese_awesome_model_1_nawincom +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_1_nawincom` is a English model originally trained by NawinCom. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1_nawincom_en_5.2.2_3.0_1703879437666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_1_nawincom_en_5.2.2_3.0_1703879437666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1_nawincom","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_1_nawincom","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_1_nawincom| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NawinCom/my_awesome_model_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_alexc98_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_alexc98_en.md new file mode 100644 index 0000000000000..1b7382555a49e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_alexc98_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_alexc98 DistilBertForSequenceClassification from AlexC98 +author: John Snow Labs +name: burmese_awesome_model_2_alexc98 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_alexc98` is a English model originally trained by AlexC98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_alexc98_en_5.2.2_3.0_1703879434774.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_alexc98_en_5.2.2_3.0_1703879434774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_alexc98","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_alexc98","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_alexc98| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AlexC98/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_nawincom_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_nawincom_en.md new file mode 100644 index 0000000000000..f63e65b4ab544 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_nawincom_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_nawincom DistilBertForSequenceClassification from NawinCom +author: John Snow Labs +name: burmese_awesome_model_2_nawincom +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_nawincom` is a English model originally trained by NawinCom. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_nawincom_en_5.2.2_3.0_1703869201925.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_nawincom_en_5.2.2_3.0_1703869201925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_nawincom","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_nawincom","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_nawincom| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NawinCom/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_yongce_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_yongce_en.md new file mode 100644 index 0000000000000..619b38352e3fb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_2_yongce_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_yongce DistilBertForSequenceClassification from Yongce +author: John Snow Labs +name: burmese_awesome_model_2_yongce +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_yongce` is a English model originally trained by Yongce. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_yongce_en_5.2.2_3.0_1703867107066.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_yongce_en_5.2.2_3.0_1703867107066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_yongce","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_yongce","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_yongce| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yongce/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_aburkard_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_aburkard_en.md new file mode 100644 index 0000000000000..2a744d572e589 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_aburkard_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_aburkard DistilBertForSequenceClassification from aburkard +author: John Snow Labs +name: burmese_awesome_model_aburkard +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_aburkard` is a English model originally trained by aburkard. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aburkard_en_5.2.2_3.0_1703887096893.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aburkard_en_5.2.2_3.0_1703887096893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aburkard","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aburkard","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_aburkard| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aburkard/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ajwad_abrar_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ajwad_abrar_en.md new file mode 100644 index 0000000000000..73e68c9cdc909 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ajwad_abrar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ajwad_abrar DistilBertForSequenceClassification from ajwad-abrar +author: John Snow Labs +name: burmese_awesome_model_ajwad_abrar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ajwad_abrar` is a English model originally trained by ajwad-abrar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ajwad_abrar_en_5.2.2_3.0_1703890424938.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ajwad_abrar_en_5.2.2_3.0_1703890424938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ajwad_abrar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ajwad_abrar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ajwad_abrar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ajwad-abrar/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_anjgksi_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_anjgksi_en.md new file mode 100644 index 0000000000000..fa5027209dab1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_anjgksi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_anjgksi DistilBertForSequenceClassification from anjgksi +author: John Snow Labs +name: burmese_awesome_model_anjgksi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_anjgksi` is a English model originally trained by anjgksi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anjgksi_en_5.2.2_3.0_1703867300558.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anjgksi_en_5.2.2_3.0_1703867300558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_anjgksi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_anjgksi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_anjgksi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/anjgksi/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bbgame605065444_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bbgame605065444_en.md new file mode 100644 index 0000000000000..e282b9d84d393 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bbgame605065444_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_bbgame605065444 DistilBertForSequenceClassification from BBGAME605065444 +author: John Snow Labs +name: burmese_awesome_model_bbgame605065444 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bbgame605065444` is a English model originally trained by BBGAME605065444. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bbgame605065444_en_5.2.2_3.0_1703873167959.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bbgame605065444_en_5.2.2_3.0_1703873167959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_bbgame605065444","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_bbgame605065444","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_bbgame605065444| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BBGAME605065444/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bkittur_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bkittur_en.md new file mode 100644 index 0000000000000..e26ee0c878c63 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_bkittur_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_bkittur DistilBertForSequenceClassification from bkittur +author: John Snow Labs +name: burmese_awesome_model_bkittur +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bkittur` is a English model originally trained by bkittur. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bkittur_en_5.2.2_3.0_1703881052862.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bkittur_en_5.2.2_3.0_1703881052862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_bkittur","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_bkittur","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_bkittur| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bkittur/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_charles_59800_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_charles_59800_en.md new file mode 100644 index 0000000000000..8028c93c15422 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_charles_59800_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_charles_59800 DistilBertForSequenceClassification from Charles-59800 +author: John Snow Labs +name: burmese_awesome_model_charles_59800 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_charles_59800` is a English model originally trained by Charles-59800. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charles_59800_en_5.2.2_3.0_1703867909729.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charles_59800_en_5.2.2_3.0_1703867909729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_charles_59800","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_charles_59800","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_charles_59800| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.2 MB| + +## References + +https://huggingface.co/Charles-59800/my-awesome-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chatwithneil_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chatwithneil_en.md new file mode 100644 index 0000000000000..2473328a4ab76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chatwithneil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_chatwithneil DistilBertForSequenceClassification from ChatWithNeil +author: John Snow Labs +name: burmese_awesome_model_chatwithneil +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_chatwithneil` is a English model originally trained by ChatWithNeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chatwithneil_en_5.2.2_3.0_1703871245836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chatwithneil_en_5.2.2_3.0_1703871245836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chatwithneil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chatwithneil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_chatwithneil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ChatWithNeil/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chenglu_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chenglu_en.md new file mode 100644 index 0000000000000..a1f6b7856ee06 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_chenglu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_chenglu DistilBertForSequenceClassification from chenglu +author: John Snow Labs +name: burmese_awesome_model_chenglu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_chenglu` is a English model originally trained by chenglu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chenglu_en_5.2.2_3.0_1703887585674.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chenglu_en_5.2.2_3.0_1703887585674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chenglu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chenglu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_chenglu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chenglu/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dalilab_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dalilab_en.md new file mode 100644 index 0000000000000..d6a9d46319ca5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dalilab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_dalilab DistilBertForSequenceClassification from DalilaB +author: John Snow Labs +name: burmese_awesome_model_dalilab +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dalilab` is a English model originally trained by DalilaB. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dalilab_en_5.2.2_3.0_1703867964080.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dalilab_en_5.2.2_3.0_1703867964080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dalilab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dalilab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_dalilab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DalilaB/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dinhthinhan_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dinhthinhan_en.md new file mode 100644 index 0000000000000..83ddde7086e9a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dinhthinhan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_dinhthinhan DistilBertForSequenceClassification from dinhthinhan +author: John Snow Labs +name: burmese_awesome_model_dinhthinhan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dinhthinhan` is a English model originally trained by dinhthinhan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dinhthinhan_en_5.2.2_3.0_1703864736166.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dinhthinhan_en_5.2.2_3.0_1703864736166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dinhthinhan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dinhthinhan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_dinhthinhan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dinhthinhan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_draj597_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_draj597_en.md new file mode 100644 index 0000000000000..dbfbd83d0c5e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_draj597_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_draj597 DistilBertForSequenceClassification from draj597 +author: John Snow Labs +name: burmese_awesome_model_draj597 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_draj597` is a English model originally trained by draj597. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_draj597_en_5.2.2_3.0_1703883635203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_draj597_en_5.2.2_3.0_1703883635203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_draj597","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_draj597","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_draj597| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/draj597/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_duchaba_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_duchaba_en.md new file mode 100644 index 0000000000000..b7f896ac6bd69 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_duchaba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_duchaba DistilBertForSequenceClassification from duchaba +author: John Snow Labs +name: burmese_awesome_model_duchaba +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_duchaba` is a English model originally trained by duchaba. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duchaba_en_5.2.2_3.0_1703872075308.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duchaba_en_5.2.2_3.0_1703872075308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_duchaba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_duchaba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_duchaba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/duchaba/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dwightun_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dwightun_en.md new file mode 100644 index 0000000000000..35ea0de07c705 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_dwightun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_dwightun DistilBertForSequenceClassification from Dwightun +author: John Snow Labs +name: burmese_awesome_model_dwightun +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dwightun` is a English model originally trained by Dwightun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dwightun_en_5.2.2_3.0_1703860677503.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dwightun_en_5.2.2_3.0_1703860677503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dwightun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dwightun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_dwightun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Dwightun/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_elytum_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_elytum_en.md new file mode 100644 index 0000000000000..9abb5780e059a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_elytum_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_elytum DistilBertForSequenceClassification from Elytum +author: John Snow Labs +name: burmese_awesome_model_elytum +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_elytum` is a English model originally trained by Elytum. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_elytum_en_5.2.2_3.0_1703871297999.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_elytum_en_5.2.2_3.0_1703871297999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_elytum","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_elytum","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_elytum| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Elytum/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_emrys15_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_emrys15_en.md new file mode 100644 index 0000000000000..5288e31c00203 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_emrys15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_emrys15 DistilBertForSequenceClassification from Emrys15 +author: John Snow Labs +name: burmese_awesome_model_emrys15 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_emrys15` is a English model originally trained by Emrys15. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_emrys15_en_5.2.2_3.0_1703874922513.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_emrys15_en_5.2.2_3.0_1703874922513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_emrys15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_emrys15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_emrys15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Emrys15/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ethanedwards_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ethanedwards_en.md new file mode 100644 index 0000000000000..2f143d1832055 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ethanedwards_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ethanedwards DistilBertForSequenceClassification from ethanedwards +author: John Snow Labs +name: burmese_awesome_model_ethanedwards +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ethanedwards` is a English model originally trained by ethanedwards. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ethanedwards_en_5.2.2_3.0_1703880388401.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ethanedwards_en_5.2.2_3.0_1703880388401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ethanedwards","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ethanedwards","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ethanedwards| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ethanedwards/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_gcad_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_gcad_en.md new file mode 100644 index 0000000000000..ece797f3d6dce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_gcad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_gcad DistilBertForSequenceClassification from GCAd +author: John Snow Labs +name: burmese_awesome_model_gcad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_gcad` is a English model originally trained by GCAd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gcad_en_5.2.2_3.0_1703892807123.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gcad_en_5.2.2_3.0_1703892807123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_gcad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_gcad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_gcad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GCAd/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_generateai_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_generateai_en.md new file mode 100644 index 0000000000000..0bf524ca6f048 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_generateai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_generateai DistilBertForSequenceClassification from generateai +author: John Snow Labs +name: burmese_awesome_model_generateai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_generateai` is a English model originally trained by generateai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_generateai_en_5.2.2_3.0_1703864531417.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_generateai_en_5.2.2_3.0_1703864531417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_generateai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_generateai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_generateai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/generateai/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hanbi_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hanbi_en.md new file mode 100644 index 0000000000000..419b1116559da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hanbi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_hanbi DistilBertForSequenceClassification from HanBi +author: John Snow Labs +name: burmese_awesome_model_hanbi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_hanbi` is a English model originally trained by HanBi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hanbi_en_5.2.2_3.0_1703861569217.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hanbi_en_5.2.2_3.0_1703861569217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hanbi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hanbi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_hanbi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HanBi/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hellcodedev_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hellcodedev_en.md new file mode 100644 index 0000000000000..a0326a5f0f128 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hellcodedev_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_hellcodedev DistilBertForSequenceClassification from Hellcodedev +author: John Snow Labs +name: burmese_awesome_model_hellcodedev +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_hellcodedev` is a English model originally trained by Hellcodedev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hellcodedev_en_5.2.2_3.0_1703889966372.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hellcodedev_en_5.2.2_3.0_1703889966372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hellcodedev","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hellcodedev","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_hellcodedev| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hellcodedev/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_heysatyam_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_heysatyam_en.md new file mode 100644 index 0000000000000..4d56d9318ef34 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_heysatyam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_heysatyam DistilBertForSequenceClassification from HeySatyam +author: John Snow Labs +name: burmese_awesome_model_heysatyam +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_heysatyam` is a English model originally trained by HeySatyam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_heysatyam_en_5.2.2_3.0_1703886250633.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_heysatyam_en_5.2.2_3.0_1703886250633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_heysatyam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_heysatyam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_heysatyam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HeySatyam/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hyeoli_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hyeoli_en.md new file mode 100644 index 0000000000000..3faac6d73bb8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_hyeoli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_hyeoli DistilBertForSequenceClassification from Hyeoli +author: John Snow Labs +name: burmese_awesome_model_hyeoli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_hyeoli` is a English model originally trained by Hyeoli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hyeoli_en_5.2.2_3.0_1703876850694.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hyeoli_en_5.2.2_3.0_1703876850694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hyeoli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_hyeoli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_hyeoli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Hyeoli/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_indiaj27_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_indiaj27_en.md new file mode 100644 index 0000000000000..f40ef9788e4ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_indiaj27_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_indiaj27 DistilBertForSequenceClassification from indiaj27 +author: John Snow Labs +name: burmese_awesome_model_indiaj27 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_indiaj27` is a English model originally trained by indiaj27. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_indiaj27_en_5.2.2_3.0_1703873177958.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_indiaj27_en_5.2.2_3.0_1703873177958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_indiaj27","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_indiaj27","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_indiaj27| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/indiaj27/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ishwarbb23_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ishwarbb23_en.md new file mode 100644 index 0000000000000..3793fd358ceed --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ishwarbb23_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ishwarbb23 DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: burmese_awesome_model_ishwarbb23 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ishwarbb23` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ishwarbb23_en_5.2.2_3.0_1703890663933.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ishwarbb23_en_5.2.2_3.0_1703890663933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ishwarbb23","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ishwarbb23","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ishwarbb23| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ishwarbb23/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jnallen_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jnallen_en.md new file mode 100644 index 0000000000000..6902985bc83f7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jnallen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jnallen DistilBertForSequenceClassification from jnallen +author: John Snow Labs +name: burmese_awesome_model_jnallen +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jnallen` is a English model originally trained by jnallen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jnallen_en_5.2.2_3.0_1703869908844.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jnallen_en_5.2.2_3.0_1703869908844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jnallen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jnallen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jnallen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jnallen/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jumabek_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jumabek_en.md new file mode 100644 index 0000000000000..539af8ebfe7cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_jumabek_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jumabek DistilBertForSequenceClassification from Jumabek +author: John Snow Labs +name: burmese_awesome_model_jumabek +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jumabek` is a English model originally trained by Jumabek. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jumabek_en_5.2.2_3.0_1703870623352.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jumabek_en_5.2.2_3.0_1703870623352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jumabek","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jumabek","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jumabek| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Jumabek/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_kunalr63_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_kunalr63_en.md new file mode 100644 index 0000000000000..487c610430adb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_kunalr63_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_kunalr63 DistilBertForSequenceClassification from kunalr63 +author: John Snow Labs +name: burmese_awesome_model_kunalr63 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kunalr63` is a English model originally trained by kunalr63. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kunalr63_en_5.2.2_3.0_1703891298306.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kunalr63_en_5.2.2_3.0_1703891298306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kunalr63","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kunalr63","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_kunalr63| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kunalr63/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_lavidabo_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_lavidabo_en.md new file mode 100644 index 0000000000000..af1bfc43c3094 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_lavidabo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_lavidabo DistilBertForSequenceClassification from lavidabo +author: John Snow Labs +name: burmese_awesome_model_lavidabo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_lavidabo` is a English model originally trained by lavidabo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lavidabo_en_5.2.2_3.0_1703876358205.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lavidabo_en_5.2.2_3.0_1703876358205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lavidabo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lavidabo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_lavidabo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lavidabo/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nawincom_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nawincom_en.md new file mode 100644 index 0000000000000..fb53de7fb0663 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nawincom_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_nawincom DistilBertForSequenceClassification from NawinCom +author: John Snow Labs +name: burmese_awesome_model_nawincom +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_nawincom` is a English model originally trained by NawinCom. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nawincom_en_5.2.2_3.0_1703878287130.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nawincom_en_5.2.2_3.0_1703878287130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nawincom","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nawincom","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_nawincom| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NawinCom/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nc33_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nc33_en.md new file mode 100644 index 0000000000000..91d640301449f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nc33_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_nc33 DistilBertForSequenceClassification from nc33 +author: John Snow Labs +name: burmese_awesome_model_nc33 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_nc33` is a English model originally trained by nc33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nc33_en_5.2.2_3.0_1703877772064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nc33_en_5.2.2_3.0_1703877772064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nc33","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nc33","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_nc33| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nc33/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nushio_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nushio_en.md new file mode 100644 index 0000000000000..740d42e949b0a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_nushio_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_nushio DistilBertForSequenceClassification from nushio +author: John Snow Labs +name: burmese_awesome_model_nushio +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_nushio` is a English model originally trained by nushio. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nushio_en_5.2.2_3.0_1703879306275.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nushio_en_5.2.2_3.0_1703879306275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nushio","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nushio","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_nushio| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nushio/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_oeshy_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_oeshy_en.md new file mode 100644 index 0000000000000..033f01c4b5012 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_oeshy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_oeshy DistilBertForSequenceClassification from oeshy +author: John Snow Labs +name: burmese_awesome_model_oeshy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_oeshy` is a English model originally trained by oeshy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_oeshy_en_5.2.2_3.0_1703884013693.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_oeshy_en_5.2.2_3.0_1703884013693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_oeshy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_oeshy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_oeshy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/oeshy/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_panjlu_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_panjlu_en.md new file mode 100644 index 0000000000000..0b3ad9519b3c4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_panjlu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_panjlu DistilBertForSequenceClassification from PanJLu +author: John Snow Labs +name: burmese_awesome_model_panjlu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_panjlu` is a English model originally trained by PanJLu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_panjlu_en_5.2.2_3.0_1703885455936.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_panjlu_en_5.2.2_3.0_1703885455936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_panjlu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_panjlu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_panjlu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/PanJLu/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_peterjwms_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_peterjwms_en.md new file mode 100644 index 0000000000000..de80500e352db --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_peterjwms_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_peterjwms DistilBertForSequenceClassification from peterjwms +author: John Snow Labs +name: burmese_awesome_model_peterjwms +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_peterjwms` is a English model originally trained by peterjwms. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_peterjwms_en_5.2.2_3.0_1703868270448.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_peterjwms_en_5.2.2_3.0_1703868270448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_peterjwms","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_peterjwms","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_peterjwms| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/peterjwms/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_praneshu_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_praneshu_en.md new file mode 100644 index 0000000000000..2e7e558b87be1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_praneshu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_praneshu DistilBertForSequenceClassification from praneshu +author: John Snow Labs +name: burmese_awesome_model_praneshu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_praneshu` is a English model originally trained by praneshu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_praneshu_en_5.2.2_3.0_1703869673259.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_praneshu_en_5.2.2_3.0_1703869673259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_praneshu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_praneshu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_praneshu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/praneshu/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ra312_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ra312_en.md new file mode 100644 index 0000000000000..3f802d71b16a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ra312_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ra312 DistilBertForSequenceClassification from ra312 +author: John Snow Labs +name: burmese_awesome_model_ra312 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ra312` is a English model originally trained by ra312. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ra312_en_5.2.2_3.0_1703875585950.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ra312_en_5.2.2_3.0_1703875585950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ra312","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ra312","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ra312| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|244.2 MB| + +## References + +https://huggingface.co/ra312/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ravikiran_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ravikiran_en.md new file mode 100644 index 0000000000000..b8f7efc8a215f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_ravikiran_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ravikiran DistilBertForSequenceClassification from RaviKiran +author: John Snow Labs +name: burmese_awesome_model_ravikiran +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ravikiran` is a English model originally trained by RaviKiran. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ravikiran_en_5.2.2_3.0_1703877107514.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ravikiran_en_5.2.2_3.0_1703877107514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ravikiran","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ravikiran","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ravikiran| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RaviKiran/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_santoshuske_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_santoshuske_en.md new file mode 100644 index 0000000000000..694bbfc5c3fa9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_santoshuske_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_santoshuske DistilBertForSequenceClassification from SantoshUske +author: John Snow Labs +name: burmese_awesome_model_santoshuske +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_santoshuske` is a English model originally trained by SantoshUske. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_santoshuske_en_5.2.2_3.0_1703881524363.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_santoshuske_en_5.2.2_3.0_1703881524363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_santoshuske","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_santoshuske","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_santoshuske| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SantoshUske/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_seogmin_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_seogmin_en.md new file mode 100644 index 0000000000000..865380441c94d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_seogmin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_seogmin DistilBertForSequenceClassification from Seogmin +author: John Snow Labs +name: burmese_awesome_model_seogmin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_seogmin` is a English model originally trained by Seogmin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_seogmin_en_5.2.2_3.0_1703865458206.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_seogmin_en_5.2.2_3.0_1703865458206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_seogmin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_seogmin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_seogmin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Seogmin/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_shaoyu17_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_shaoyu17_en.md new file mode 100644 index 0000000000000..6192c57329db0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_shaoyu17_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_shaoyu17 DistilBertForSequenceClassification from shaoyu17 +author: John Snow Labs +name: burmese_awesome_model_shaoyu17 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_shaoyu17` is a English model originally trained by shaoyu17. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_shaoyu17_en_5.2.2_3.0_1703884620787.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_shaoyu17_en_5.2.2_3.0_1703884620787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_shaoyu17","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_shaoyu17","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_shaoyu17| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shaoyu17/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_snowps37_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_snowps37_en.md new file mode 100644 index 0000000000000..f773d7618ff5d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_snowps37_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_snowps37 DistilBertForSequenceClassification from Snowps37 +author: John Snow Labs +name: burmese_awesome_model_snowps37 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_snowps37` is a English model originally trained by Snowps37. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_snowps37_en_5.2.2_3.0_1703872760402.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_snowps37_en_5.2.2_3.0_1703872760402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_snowps37","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_snowps37","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_snowps37| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Snowps37/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_whorseman_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_whorseman_en.md new file mode 100644 index 0000000000000..d2f5fb0fdd35a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_whorseman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_whorseman DistilBertForSequenceClassification from whorseman +author: John Snow Labs +name: burmese_awesome_model_whorseman +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_whorseman` is a English model originally trained by whorseman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_whorseman_en_5.2.2_3.0_1703861566162.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_whorseman_en_5.2.2_3.0_1703861566162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_whorseman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_whorseman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_whorseman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/whorseman/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_yossir_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_yossir_en.md new file mode 100644 index 0000000000000..fc460d0d8102a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_yossir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yossir DistilBertForSequenceClassification from yossir +author: John Snow Labs +name: burmese_awesome_model_yossir +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yossir` is a English model originally trained by yossir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yossir_en_5.2.2_3.0_1703866700319.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yossir_en_5.2.2_3.0_1703866700319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yossir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yossir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yossir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yossir/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_zzy113_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_zzy113_en.md new file mode 100644 index 0000000000000..552b123bd57fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_awesome_model_zzy113_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_zzy113 DistilBertForSequenceClassification from zzy113 +author: John Snow Labs +name: burmese_awesome_model_zzy113 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zzy113` is a English model originally trained by zzy113. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zzy113_en_5.2.2_3.0_1703871954782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zzy113_en_5.2.2_3.0_1703871954782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zzy113","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zzy113","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_zzy113| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zzy113/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_esome_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_esome_model_en.md new file mode 100644 index 0000000000000..6a2d89de62a3f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_esome_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_esome_model DistilBertForSequenceClassification from Valyanka +author: John Snow Labs +name: burmese_esome_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_esome_model` is a English model originally trained by Valyanka. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_esome_model_en_5.2.2_3.0_1703867422994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_esome_model_en_5.2.2_3.0_1703867422994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_esome_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_esome_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_esome_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/Valyanka/my_esome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_model_oscarvel821_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_model_oscarvel821_en.md new file mode 100644 index 0000000000000..6c58065865157 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_model_oscarvel821_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_model_oscarvel821 DistilBertForSequenceClassification from oscarvel821 +author: John Snow Labs +name: burmese_model_oscarvel821 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_oscarvel821` is a English model originally trained by oscarvel821. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_oscarvel821_en_5.2.2_3.0_1703874092403.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_oscarvel821_en_5.2.2_3.0_1703874092403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_oscarvel821","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_oscarvel821","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_model_oscarvel821| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/oscarvel821/my_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-burmese_segment_beauty_en.md b/docs/_posts/ahmedlone127/2023-12-29-burmese_segment_beauty_en.md new file mode 100644 index 0000000000000..bade471a02d1e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-burmese_segment_beauty_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_segment_beauty DistilBertForSequenceClassification from SSSIN +author: John Snow Labs +name: burmese_segment_beauty +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_segment_beauty` is a English model originally trained by SSSIN. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_segment_beauty_en_5.2.2_3.0_1703881663027.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_segment_beauty_en_5.2.2_3.0_1703881663027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_beauty","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_beauty","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_segment_beauty| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SSSIN/my_segment_beauty \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-caption_title_pipeline_en.md b/docs/_posts/ahmedlone127/2023-12-29-caption_title_pipeline_en.md new file mode 100644 index 0000000000000..511c13af7a412 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-caption_title_pipeline_en.md @@ -0,0 +1,66 @@ +--- +layout: model +title: English caption_title_pipeline pipeline DistilBertForSequenceClassification from tgieruc +author: John Snow Labs +name: caption_title_pipeline +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, pipeline, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`caption_title_pipeline` is a English model originally trained by tgieruc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/caption_title_pipeline_en_5.2.2_3.0_1703867727027.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/caption_title_pipeline_en_5.2.2_3.0_1703867727027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +pipeline = PretrainedPipeline('caption_title_pipeline', lang = 'en') +annotations = pipeline.transform(df) + +``` +```scala + +val pipeline = new PretrainedPipeline('caption_title_pipeline', lang = 'en') +val annotations = pipeline.transform(df) + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|caption_title_pipeline| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tgieruc/caption-title-pipeline \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-cards_demo_model2_en.md b/docs/_posts/ahmedlone127/2023-12-29-cards_demo_model2_en.md new file mode 100644 index 0000000000000..3dba7d59900d1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-cards_demo_model2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cards_demo_model2 DistilBertForSequenceClassification from Anurag0961 +author: John Snow Labs +name: cards_demo_model2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cards_demo_model2` is a English model originally trained by Anurag0961. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cards_demo_model2_en_5.2.2_3.0_1703892862298.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cards_demo_model2_en_5.2.2_3.0_1703892862298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cards_demo_model2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cards_demo_model2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cards_demo_model2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Anurag0961/cards-demo-model2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-censorship_classifier_transformer_en.md b/docs/_posts/ahmedlone127/2023-12-29-censorship_classifier_transformer_en.md new file mode 100644 index 0000000000000..4c52319881c2c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-censorship_classifier_transformer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English censorship_classifier_transformer DistilBertForSequenceClassification from Tensorride +author: John Snow Labs +name: censorship_classifier_transformer +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`censorship_classifier_transformer` is a English model originally trained by Tensorride. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/censorship_classifier_transformer_en_5.2.2_3.0_1703874252592.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/censorship_classifier_transformer_en_5.2.2_3.0_1703874252592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("censorship_classifier_transformer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("censorship_classifier_transformer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|censorship_classifier_transformer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tensorride/censorship_classifier_transformer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-clases_bert_en.md b/docs/_posts/ahmedlone127/2023-12-29-clases_bert_en.md new file mode 100644 index 0000000000000..2111a26289b5e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-clases_bert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English clases_bert DistilBertForSequenceClassification from Shredder +author: John Snow Labs +name: clases_bert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clases_bert` is a English model originally trained by Shredder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clases_bert_en_5.2.2_3.0_1703875069712.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clases_bert_en_5.2.2_3.0_1703875069712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("clases_bert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("clases_bert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|clases_bert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/Shredder/clases-bert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-clasificador_amazonreviews_english_en.md b/docs/_posts/ahmedlone127/2023-12-29-clasificador_amazonreviews_english_en.md new file mode 100644 index 0000000000000..dff82f9658aca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-clasificador_amazonreviews_english_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English clasificador_amazonreviews_english DistilBertForSequenceClassification from esoria3 +author: John Snow Labs +name: clasificador_amazonreviews_english +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_amazonreviews_english` is a English model originally trained by esoria3. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_amazonreviews_english_en_5.2.2_3.0_1703879853555.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_amazonreviews_english_en_5.2.2_3.0_1703879853555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_amazonreviews_english","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_amazonreviews_english","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|clasificador_amazonreviews_english| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/esoria3/clasificador-amazonreviews-en \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-clasificador_clinc_oos_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-29-clasificador_clinc_oos_dataset_en.md new file mode 100644 index 0000000000000..04c35f99e9635 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-clasificador_clinc_oos_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English clasificador_clinc_oos_dataset DistilBertForSequenceClassification from Rahmayezza +author: John Snow Labs +name: clasificador_clinc_oos_dataset +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_clinc_oos_dataset` is a English model originally trained by Rahmayezza. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_clinc_oos_dataset_en_5.2.2_3.0_1703872618880.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_clinc_oos_dataset_en_5.2.2_3.0_1703872618880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_clinc_oos_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_clinc_oos_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|clasificador_clinc_oos_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Rahmayezza/clasificador-clinc_oos_dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-clasificador_poem_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-29-clasificador_poem_sentiment_en.md new file mode 100644 index 0000000000000..08a8c575fb39e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-clasificador_poem_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English clasificador_poem_sentiment DistilBertForSequenceClassification from cedomin +author: John Snow Labs +name: clasificador_poem_sentiment +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_poem_sentiment` is a English model originally trained by cedomin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_poem_sentiment_en_5.2.2_3.0_1703884273238.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_poem_sentiment_en_5.2.2_3.0_1703884273238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_poem_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("clasificador_poem_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|clasificador_poem_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cedomin/clasificador-poem-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english_en.md b/docs/_posts/ahmedlone127/2023-12-29-classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english_en.md new file mode 100644 index 0000000000000..5804ac6513d20 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english DistilBertForSequenceClassification from akum1343 +author: John Snow Labs +name: classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english` is a English model originally trained by akum1343. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english_en_5.2.2_3.0_1703862566900.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english_en_5.2.2_3.0_1703862566900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|classification_model3_10_epochs_distilbert_base_uncased_finetuned_sst_2_english| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/akum1343/Classification_model3_10_epochs-distilbert-base-uncased-finetuned-sst-2-english \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-classification_text_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-classification_text_model_en.md new file mode 100644 index 0000000000000..c75855d35e9ab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-classification_text_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English classification_text_model DistilBertForSequenceClassification from lucasgbezerra +author: John Snow Labs +name: classification_text_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_text_model` is a English model originally trained by lucasgbezerra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_text_model_en_5.2.2_3.0_1703867284740.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_text_model_en_5.2.2_3.0_1703867284740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_text_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_text_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|classification_text_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lucasgbezerra/classification_text_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-climate_sequence_classification_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-climate_sequence_classification_model_en.md new file mode 100644 index 0000000000000..5d14644c55004 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-climate_sequence_classification_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English climate_sequence_classification_model DistilBertForSequenceClassification from maayansharon +author: John Snow Labs +name: climate_sequence_classification_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_sequence_classification_model` is a English model originally trained by maayansharon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_sequence_classification_model_en_5.2.2_3.0_1703893430487.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_sequence_classification_model_en_5.2.2_3.0_1703893430487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_sequence_classification_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_sequence_classification_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|climate_sequence_classification_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/maayansharon/climate_sequence_classification_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-comfort_congratulations_neutral_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-comfort_congratulations_neutral_classifier_en.md new file mode 100644 index 0000000000000..623207fba00ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-comfort_congratulations_neutral_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English comfort_congratulations_neutral_classifier DistilBertForSequenceClassification from Adapting +author: John Snow Labs +name: comfort_congratulations_neutral_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comfort_congratulations_neutral_classifier` is a English model originally trained by Adapting. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comfort_congratulations_neutral_classifier_en_5.2.2_3.0_1703887172087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comfort_congratulations_neutral_classifier_en_5.2.2_3.0_1703887172087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("comfort_congratulations_neutral_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("comfort_congratulations_neutral_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|comfort_congratulations_neutral_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Adapting/comfort_congratulations_neutral-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-comment_linking_distilbert_base_german_cased_en.md b/docs/_posts/ahmedlone127/2023-12-29-comment_linking_distilbert_base_german_cased_en.md new file mode 100644 index 0000000000000..f8c354ce1116e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-comment_linking_distilbert_base_german_cased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English comment_linking_distilbert_base_german_cased DistilBertForSequenceClassification from ietz +author: John Snow Labs +name: comment_linking_distilbert_base_german_cased +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comment_linking_distilbert_base_german_cased` is a English model originally trained by ietz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comment_linking_distilbert_base_german_cased_en_5.2.2_3.0_1703892802742.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comment_linking_distilbert_base_german_cased_en_5.2.2_3.0_1703892802742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("comment_linking_distilbert_base_german_cased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("comment_linking_distilbert_base_german_cased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|comment_linking_distilbert_base_german_cased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/ietz/comment-linking-distilbert-base-german-cased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-commitc_en.md b/docs/_posts/ahmedlone127/2023-12-29-commitc_en.md new file mode 100644 index 0000000000000..a54876a62ff27 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-commitc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English commitc DistilBertForSequenceClassification from AlexC98 +author: John Snow Labs +name: commitc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`commitc` is a English model originally trained by AlexC98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/commitc_en_5.2.2_3.0_1703878197190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/commitc_en_5.2.2_3.0_1703878197190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("commitc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("commitc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|commitc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AlexC98/commitC \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-consejo_textcat_en.md b/docs/_posts/ahmedlone127/2023-12-29-consejo_textcat_en.md new file mode 100644 index 0000000000000..37323c1bd4eec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-consejo_textcat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English consejo_textcat DistilBertForSequenceClassification from hucruz +author: John Snow Labs +name: consejo_textcat +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`consejo_textcat` is a English model originally trained by hucruz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/consejo_textcat_en_5.2.2_3.0_1703869033496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/consejo_textcat_en_5.2.2_3.0_1703869033496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("consejo_textcat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("consejo_textcat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|consejo_textcat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/hucruz/consejo-textcat \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification2_en.md b/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification2_en.md new file mode 100644 index 0000000000000..d452a11547e16 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English covid_miss_information_classification2 DistilBertForSequenceClassification from satendrakumar +author: John Snow Labs +name: covid_miss_information_classification2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_miss_information_classification2` is a English model originally trained by satendrakumar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_miss_information_classification2_en_5.2.2_3.0_1703870372002.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_miss_information_classification2_en_5.2.2_3.0_1703870372002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_miss_information_classification2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_miss_information_classification2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|covid_miss_information_classification2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/satendrakumar/covid_miss_information_classification2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification_en.md new file mode 100644 index 0000000000000..25c8102ba79dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-covid_miss_information_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English covid_miss_information_classification DistilBertForSequenceClassification from satendrakumar +author: John Snow Labs +name: covid_miss_information_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_miss_information_classification` is a English model originally trained by satendrakumar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_miss_information_classification_en_5.2.2_3.0_1703863071883.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_miss_information_classification_en_5.2.2_3.0_1703863071883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_miss_information_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_miss_information_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|covid_miss_information_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/satendrakumar/covid_miss_information_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-cr_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-cr_distilbert_5e_en.md new file mode 100644 index 0000000000000..c085519796bf6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-cr_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cr_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: cr_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cr_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cr_distilbert_5e_en_5.2.2_3.0_1703879716548.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cr_distilbert_5e_en_5.2.2_3.0_1703879716548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cr_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cr_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cr_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pig4431/CR_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-cs_gy_6613_milestone_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-cs_gy_6613_milestone_3_en.md new file mode 100644 index 0000000000000..d104b9876fd7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-cs_gy_6613_milestone_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cs_gy_6613_milestone_3 DistilBertForSequenceClassification from slachitoff +author: John Snow Labs +name: cs_gy_6613_milestone_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cs_gy_6613_milestone_3` is a English model originally trained by slachitoff. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs_gy_6613_milestone_3_en_5.2.2_3.0_1703892492462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs_gy_6613_milestone_3_en_5.2.2_3.0_1703892492462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs_gy_6613_milestone_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs_gy_6613_milestone_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cs_gy_6613_milestone_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/slachitoff/CS-GY_6613_Milestone_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-csc575finalproject_en.md b/docs/_posts/ahmedlone127/2023-12-29-csc575finalproject_en.md new file mode 100644 index 0000000000000..6eab732213e3a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-csc575finalproject_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English csc575finalproject DistilBertForSequenceClassification from joshuacalloway +author: John Snow Labs +name: csc575finalproject +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`csc575finalproject` is a English model originally trained by joshuacalloway. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/csc575finalproject_en_5.2.2_3.0_1703874233882.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/csc575finalproject_en_5.2.2_3.0_1703874233882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("csc575finalproject","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("csc575finalproject","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|csc575finalproject| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshuacalloway/csc575finalproject \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-datos_textcat_en.md b/docs/_posts/ahmedlone127/2023-12-29-datos_textcat_en.md new file mode 100644 index 0000000000000..a6e8fbb6d0aff --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-datos_textcat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English datos_textcat DistilBertForSequenceClassification from hucruz +author: John Snow Labs +name: datos_textcat +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datos_textcat` is a English model originally trained by hucruz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datos_textcat_en_5.2.2_3.0_1703887438051.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datos_textcat_en_5.2.2_3.0_1703887438051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("datos_textcat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("datos_textcat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|datos_textcat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/hucruz/datos-textcat \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-demo_fourthbrain_demo_en.md b/docs/_posts/ahmedlone127/2023-12-29-demo_fourthbrain_demo_en.md new file mode 100644 index 0000000000000..39c50e7a9a89d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-demo_fourthbrain_demo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English demo_fourthbrain_demo DistilBertForSequenceClassification from fourthbrain-demo +author: John Snow Labs +name: demo_fourthbrain_demo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_fourthbrain_demo` is a English model originally trained by fourthbrain-demo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_fourthbrain_demo_en_5.2.2_3.0_1703877273520.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_fourthbrain_demo_en_5.2.2_3.0_1703877273520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_fourthbrain_demo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_fourthbrain_demo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|demo_fourthbrain_demo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fourthbrain-demo/demo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-demo_padmajabfrl_en.md b/docs/_posts/ahmedlone127/2023-12-29-demo_padmajabfrl_en.md new file mode 100644 index 0000000000000..a3949773c6a7c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-demo_padmajabfrl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English demo_padmajabfrl DistilBertForSequenceClassification from padmajabfrl +author: John Snow Labs +name: demo_padmajabfrl +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_padmajabfrl` is a English model originally trained by padmajabfrl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_padmajabfrl_en_5.2.2_3.0_1703870609181.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_padmajabfrl_en_5.2.2_3.0_1703870609181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_padmajabfrl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_padmajabfrl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|demo_padmajabfrl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/padmajabfrl/demo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_2_en.md new file mode 100644 index 0000000000000..138642ca9311e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English depression_classifier_2 DistilBertForSequenceClassification from Shuddup +author: John Snow Labs +name: depression_classifier_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_classifier_2` is a English model originally trained by Shuddup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_classifier_2_en_5.2.2_3.0_1703862003328.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_classifier_2_en_5.2.2_3.0_1703862003328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|depression_classifier_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shuddup/depression_classifier_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_2_en.md new file mode 100644 index 0000000000000..bbf7fc3141fb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English depression_classifier_weighted_2 DistilBertForSequenceClassification from Shuddup +author: John Snow Labs +name: depression_classifier_weighted_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_classifier_weighted_2` is a English model originally trained by Shuddup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_classifier_weighted_2_en_5.2.2_3.0_1703890364791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_classifier_weighted_2_en_5.2.2_3.0_1703890364791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_weighted_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_weighted_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|depression_classifier_weighted_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shuddup/depression_classifier_weighted_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_en.md b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_en.md new file mode 100644 index 0000000000000..8f640b3bca6cf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-depression_classifier_weighted_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English depression_classifier_weighted DistilBertForSequenceClassification from Shuddup +author: John Snow Labs +name: depression_classifier_weighted +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_classifier_weighted` is a English model originally trained by Shuddup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_classifier_weighted_en_5.2.2_3.0_1703891514605.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_classifier_weighted_en_5.2.2_3.0_1703891514605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_weighted","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier_weighted","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|depression_classifier_weighted| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shuddup/depression_classifier_weighted \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-disaster_tweet_distilbert_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-disaster_tweet_distilbert_classification_en.md new file mode 100644 index 0000000000000..80c0647688ff7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-disaster_tweet_distilbert_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English disaster_tweet_distilbert_classification DistilBertForSequenceClassification from dima806 +author: John Snow Labs +name: disaster_tweet_distilbert_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_tweet_distilbert_classification` is a English model originally trained by dima806. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_tweet_distilbert_classification_en_5.2.2_3.0_1703880418418.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_tweet_distilbert_classification_en_5.2.2_3.0_1703880418418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("disaster_tweet_distilbert_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("disaster_tweet_distilbert_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|disaster_tweet_distilbert_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/dima806/disaster-tweet-distilbert-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_act_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_act_en.md new file mode 100644 index 0000000000000..98f94b0b8e781 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_act_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_act DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_act +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_act` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_act_en_5.2.2_3.0_1703877452999.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_act_en_5.2.2_3.0_1703877452999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_act","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_act","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_act| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.1 MB| + +## References + +https://huggingface.co/alishudi/distil_act \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_mlm_act_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_mlm_act_en.md new file mode 100644 index 0000000000000..09ed248201776 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_mlm_act_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_mlm_act DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_mlm_act +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_mlm_act` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_mlm_act_en_5.2.2_3.0_1703893258490.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_mlm_act_en_5.2.2_3.0_1703893258490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mlm_act","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mlm_act","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_mlm_act| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/alishudi/distil_mlm_act \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_mse_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_2_en.md new file mode 100644 index 0000000000000..34c81b1a4a623 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_mse_2 DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_mse_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_mse_2` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_mse_2_en_5.2.2_3.0_1703879810449.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_mse_2_en_5.2.2_3.0_1703879810449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_mse_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|143.6 MB| + +## References + +https://huggingface.co/alishudi/distil_mse_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_mse_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_3_en.md new file mode 100644 index 0000000000000..a9c8762d8443e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_mse_3 DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_mse_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_mse_3` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_mse_3_en_5.2.2_3.0_1703870493783.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_mse_3_en_5.2.2_3.0_1703870493783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_mse_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|170.2 MB| + +## References + +https://huggingface.co/alishudi/distil_mse_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_mse_4_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_4_en.md new file mode 100644 index 0000000000000..d404e6030e3c5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_mse_4 DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_mse_4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_mse_4` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_mse_4_en_5.2.2_3.0_1703862982172.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_mse_4_en_5.2.2_3.0_1703862982172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_mse_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|196.8 MB| + +## References + +https://huggingface.co/alishudi/distil_mse_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_mse_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_en.md new file mode 100644 index 0000000000000..3c8c984312113 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_mse_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_mse DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_mse +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_mse` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_mse_en_5.2.2_3.0_1703864359888.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_mse_en_5.2.2_3.0_1703864359888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_mse","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_mse| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/alishudi/distil_mse \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_multilabel_vietnamese_essay_categorizer_vi.md b/docs/_posts/ahmedlone127/2023-12-29-distil_multilabel_vietnamese_essay_categorizer_vi.md new file mode 100644 index 0000000000000..9273833b6cceb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_multilabel_vietnamese_essay_categorizer_vi.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Vietnamese distil_multilabel_vietnamese_essay_categorizer DistilBertForSequenceClassification from PaulTran +author: John Snow Labs +name: distil_multilabel_vietnamese_essay_categorizer +date: 2023-12-29 +tags: [bert, vi, open_source, sequence_classification, onnx] +task: Text Classification +language: vi +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_multilabel_vietnamese_essay_categorizer` is a Vietnamese model originally trained by PaulTran. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_multilabel_vietnamese_essay_categorizer_vi_5.2.2_3.0_1703860931274.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_multilabel_vietnamese_essay_categorizer_vi_5.2.2_3.0_1703860931274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_multilabel_vietnamese_essay_categorizer","vi")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_multilabel_vietnamese_essay_categorizer","vi") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_multilabel_vietnamese_essay_categorizer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|vi| +|Size:|507.6 MB| + +## References + +https://huggingface.co/PaulTran/distil_multilabel_vi_essay_categorizer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_act_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_act_en.md new file mode 100644 index 0000000000000..efd8cafb26ee2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_act_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_wolof_act DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_wolof_act +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_wolof_act` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_wolof_act_en_5.2.2_3.0_1703869192671.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_wolof_act_en_5.2.2_3.0_1703869192671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_wolof_act","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_wolof_act","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_wolof_act| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alishudi/distil_wo_act \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_cos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_cos_en.md new file mode 100644 index 0000000000000..5065dd2534ce7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distil_wolof_cos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_wolof_cos DistilBertForSequenceClassification from alishudi +author: John Snow Labs +name: distil_wolof_cos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_wolof_cos` is a English model originally trained by alishudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_wolof_cos_en_5.2.2_3.0_1703888877218.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_wolof_cos_en_5.2.2_3.0_1703888877218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_wolof_cos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_wolof_cos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_wolof_cos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alishudi/distil_wo_cos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_absa_sequence_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_absa_sequence_classification_en.md new file mode 100644 index 0000000000000..3859321560355 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_absa_sequence_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_absa_sequence_classification DistilBertForSequenceClassification from Joshwabail +author: John Snow Labs +name: distilbert_absa_sequence_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_absa_sequence_classification` is a English model originally trained by Joshwabail. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_absa_sequence_classification_en_5.2.2_3.0_1703890570857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_absa_sequence_classification_en_5.2.2_3.0_1703890570857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_absa_sequence_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_absa_sequence_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_absa_sequence_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Joshwabail/distilbert-absa-sequence-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sarcasm_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sarcasm_en.md new file mode 100644 index 0000000000000..e9787b36c3358 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sarcasm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_amazon_sarcasm DistilBertForSequenceClassification from phygxy +author: John Snow Labs +name: distilbert_amazon_sarcasm +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_sarcasm` is a English model originally trained by phygxy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sarcasm_en_5.2.2_3.0_1703864247097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sarcasm_en_5.2.2_3.0_1703864247097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_amazon_sarcasm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_amazon_sarcasm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_amazon_sarcasm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/phygxy/distilbert-amazon-sarcasm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sentiment_en.md new file mode 100644 index 0000000000000..31a272bc8f84a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_amazon_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_amazon_sentiment DistilBertForSequenceClassification from phygxy +author: John Snow Labs +name: distilbert_amazon_sentiment +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_sentiment` is a English model originally trained by phygxy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sentiment_en_5.2.2_3.0_1703891011631.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sentiment_en_5.2.2_3.0_1703891011631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_amazon_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_amazon_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_amazon_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/phygxy/distilbert-amazon-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_en.md new file mode 100644 index 0000000000000..a9a370d0bbf0e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_attitude DistilBertForSequenceClassification from tanoManzo +author: John Snow Labs +name: distilbert_attitude +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_attitude` is a English model originally trained by tanoManzo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_attitude_en_5.2.2_3.0_1703891377668.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_attitude_en_5.2.2_3.0_1703891377668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_attitude","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_attitude","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_attitude| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tanoManzo/distilbert-attitude \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_few10p_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_few10p_en.md new file mode 100644 index 0000000000000..c5e0a3c9553d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_attitude_few10p_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_attitude_few10p DistilBertForSequenceClassification from tanoManzo +author: John Snow Labs +name: distilbert_attitude_few10p +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_attitude_few10p` is a English model originally trained by tanoManzo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_attitude_few10p_en_5.2.2_3.0_1703866363161.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_attitude_few10p_en_5.2.2_3.0_1703866363161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_attitude_few10p","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_attitude_few10p","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_attitude_few10p| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tanoManzo/distilbert-attitude-few10p \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_australia_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_australia_manifesto_2018_en.md new file mode 100644 index 0000000000000..72ce4515b2e37 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_australia_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_australia_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_australia_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_australia_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_australia_manifesto_2018_en_5.2.2_3.0_1703866233939.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_australia_manifesto_2018_en_5.2.2_3.0_1703866233939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_australia_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_australia_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_australia_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-australia-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_canada_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_canada_manifesto_2018_en.md new file mode 100644 index 0000000000000..cd4362ee1c298 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_canada_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_canada_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_canada_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_canada_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_canada_manifesto_2018_en_5.2.2_3.0_1703864065505.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_canada_manifesto_2018_en_5.2.2_3.0_1703864065505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_canada_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_canada_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_canada_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-canada-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_1_en.md new file mode 100644 index 0000000000000..a5cbde9b7f2c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_finetuned_1 DistilBertForSequenceClassification from sara-nabhani +author: John Snow Labs +name: distilbert_base_cased_finetuned_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_1` is a English model originally trained by sara-nabhani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_1_en_5.2.2_3.0_1703871310792.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_1_en_5.2.2_3.0_1703871310792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_finetuned_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/sara-nabhani/distilbert-base-cased-finetuned-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_2_en.md new file mode 100644 index 0000000000000..f0b3f550341f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_finetuned_2 DistilBertForSequenceClassification from sara-nabhani +author: John Snow Labs +name: distilbert_base_cased_finetuned_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_2` is a English model originally trained by sara-nabhani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_2_en_5.2.2_3.0_1703880155721.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_2_en_5.2.2_3.0_1703880155721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_finetuned_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/sara-nabhani/distilbert-base-cased-finetuned-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_3_en.md new file mode 100644 index 0000000000000..f33a05445f896 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_finetuned_3 DistilBertForSequenceClassification from sara-nabhani +author: John Snow Labs +name: distilbert_base_cased_finetuned_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_3` is a English model originally trained by sara-nabhani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_3_en_5.2.2_3.0_1703881961768.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_3_en_5.2.2_3.0_1703881961768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_finetuned_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/sara-nabhani/distilbert-base-cased-finetuned-3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_4_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_4_en.md new file mode 100644 index 0000000000000..92c0d50935bbd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_finetuned_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_finetuned_4 DistilBertForSequenceClassification from sara-nabhani +author: John Snow Labs +name: distilbert_base_cased_finetuned_4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_4` is a English model originally trained by sara-nabhani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_4_en_5.2.2_3.0_1703886948185.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_4_en_5.2.2_3.0_1703886948185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_finetuned_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_finetuned_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/sara-nabhani/distilbert-base-cased-finetuned-4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_ireland_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_ireland_manifesto_2018_en.md new file mode 100644 index 0000000000000..848813d9a3952 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_ireland_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_ireland_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_ireland_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_ireland_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ireland_manifesto_2018_en_5.2.2_3.0_1703867438405.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ireland_manifesto_2018_en_5.2.2_3.0_1703867438405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_ireland_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_ireland_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_ireland_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-ireland-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_manifesto_2018_en.md new file mode 100644 index 0000000000000..5a0812d3e2940 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_manifesto_2018_en_5.2.2_3.0_1703870376523.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_manifesto_2018_en_5.2.2_3.0_1703870376523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_newzealand_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_newzealand_manifesto_2018_en.md new file mode 100644 index 0000000000000..470fb637fc1b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_newzealand_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_newzealand_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_newzealand_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_newzealand_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_newzealand_manifesto_2018_en_5.2.2_3.0_1703891138859.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_newzealand_manifesto_2018_en_5.2.2_3.0_1703891138859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_newzealand_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_newzealand_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_newzealand_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-newzealand-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_southafrica_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_southafrica_manifesto_2018_en.md new file mode 100644 index 0000000000000..cbb3559a67112 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_southafrica_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_southafrica_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_cased_southafrica_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_southafrica_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_southafrica_manifesto_2018_en_5.2.2_3.0_1703867594216.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_southafrica_manifesto_2018_en_5.2.2_3.0_1703867594216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_southafrica_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_southafrica_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_southafrica_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-cased-southafrica-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_en.md new file mode 100644 index 0000000000000..d53bea1459639 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_temp_classifier_bootstrapped DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_cased_temp_classifier_bootstrapped +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_temp_classifier_bootstrapped` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_bootstrapped_en_5.2.2_3.0_1703875451484.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_bootstrapped_en_5.2.2_3.0_1703875451484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_bootstrapped","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_bootstrapped","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_temp_classifier_bootstrapped| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/research-dump/distilbert_base_cased_temp_classifier_bootstrapped \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_v2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_v2_en.md new file mode 100644 index 0000000000000..6ba1caee401e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_bootstrapped_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_temp_classifier_bootstrapped_v2 DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_cased_temp_classifier_bootstrapped_v2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_temp_classifier_bootstrapped_v2` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_bootstrapped_v2_en_5.2.2_3.0_1703865034146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_bootstrapped_v2_en_5.2.2_3.0_1703865034146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_bootstrapped_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_bootstrapped_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_temp_classifier_bootstrapped_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/research-dump/distilbert_base_cased_temp_classifier_bootstrapped_v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_en.md new file mode 100644 index 0000000000000..83de92b0ad0e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_temp_classifier DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_cased_temp_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_temp_classifier` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_en_5.2.2_3.0_1703869337784.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_en_5.2.2_3.0_1703869337784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_temp_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/research-dump/distilbert_base_cased_temp_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_v2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_v2_en.md new file mode 100644 index 0000000000000..58971579c32fe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_cased_temp_classifier_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_cased_temp_classifier_v2 DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_cased_temp_classifier_v2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_temp_classifier_v2` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_v2_en_5.2.2_3.0_1703868230330.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_temp_classifier_v2_en_5.2.2_3.0_1703868230330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_cased_temp_classifier_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_cased_temp_classifier_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/research-dump/distilbert_base_cased_temp_classifier_v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_dataverse_2023_again_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_dataverse_2023_again_en.md new file mode 100644 index 0000000000000..6878c573df07d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_dataverse_2023_again_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_dataverse_2023_again DistilBertForSequenceClassification from rajendrabaskota +author: John Snow Labs +name: distilbert_base_dataverse_2023_again +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_dataverse_2023_again` is a English model originally trained by rajendrabaskota. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_dataverse_2023_again_en_5.2.2_3.0_1703871182488.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_dataverse_2023_again_en_5.2.2_3.0_1703871182488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_dataverse_2023_again","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_dataverse_2023_again","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_dataverse_2023_again| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rajendrabaskota/distilbert-base-dataverse-2023-again \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_en.md new file mode 100644 index 0000000000000..77a69ba088748 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base DistilBertForSequenceClassification from zonghaoyang +author: John Snow Labs +name: distilbert_base +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base` is a English model originally trained by zonghaoyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_en_5.2.2_3.0_1703864704431.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_en_5.2.2_3.0_1703864704431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zonghaoyang/DistilBERT-base \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_austria_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_austria_manifesto_2018_en.md new file mode 100644 index 0000000000000..06bb40a9c7d02 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_austria_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_german_cased_austria_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_german_cased_austria_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_austria_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_austria_manifesto_2018_en_5.2.2_3.0_1703887973607.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_austria_manifesto_2018_en_5.2.2_3.0_1703887973607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_austria_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_austria_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_german_cased_austria_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-german-cased-austria-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_manifesto_2018_en.md new file mode 100644 index 0000000000000..5056611a06469 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_german_cased_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_german_cased_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_manifesto_2018_en_5.2.2_3.0_1703868564084.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_manifesto_2018_en_5.2.2_3.0_1703868564084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_german_cased_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-german-cased-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_switzerland_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_switzerland_manifesto_2018_en.md new file mode 100644 index 0000000000000..cb3051ab946ed --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_german_cased_switzerland_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_german_cased_switzerland_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_german_cased_switzerland_manifesto_2018 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_switzerland_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_switzerland_manifesto_2018_en_5.2.2_3.0_1703878831172.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_switzerland_manifesto_2018_en_5.2.2_3.0_1703878831172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_switzerland_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_switzerland_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_german_cased_switzerland_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-german-cased-switzerland-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_language_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_language_xx.md new file mode 100644 index 0000000000000..100299bb31447 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_language_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_language DistilBertForSequenceClassification from tsullivan4 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_language +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_language` is a Multilingual model originally trained by tsullivan4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_language_xx_5.2.2_3.0_1703867389788.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_language_xx_5.2.2_3.0_1703867389788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_language","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_language","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_language| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.7 MB| + +## References + +https://huggingface.co/tsullivan4/distilbert-base-multilingual-cased-finetuned-language \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01_xx.md new file mode 100644 index 0000000000000..c4cc254488558 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01 DistilBertForSequenceClassification from tuli-pen +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01` is a Multilingual model originally trained by tuli-pen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01_xx_5.2.2_3.0_1703884832987.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01_xx_5.2.2_3.0_1703884832987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/tuli-pen/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02_xx.md new file mode 100644 index 0000000000000..da6c0d9b72819 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02 DistilBertForSequenceClassification from tuli-pen +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02` is a Multilingual model originally trained by tuli-pen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02_xx_5.2.2_3.0_1703870080281.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02_xx_5.2.2_3.0_1703870080281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_02| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/tuli-pen/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera_xx.md new file mode 100644 index 0000000000000..98125e80d9af9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera DistilBertForSequenceClassification from dalonsoherrera +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera` is a Multilingual model originally trained by dalonsoherrera. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera_xx_5.2.2_3.0_1703872476847.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera_xx_5.2.2_3.0_1703872476847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_dalonsoherrera| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/dalonsoherrera/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-ACMe \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg_xx.md new file mode 100644 index 0000000000000..1a6eed8defeb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg DistilBertForSequenceClassification from johacbeg +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg` is a Multilingual model originally trained by johacbeg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg_xx_5.2.2_3.0_1703878396313.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg_xx_5.2.2_3.0_1703878396313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_acme_johacbeg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/johacbeg/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-ACMe \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva_xx.md new file mode 100644 index 0000000000000..61781bcf10ecd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva DistilBertForSequenceClassification from Angel-Silva +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva` is a Multilingual model originally trained by Angel-Silva. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva_xx_5.2.2_3.0_1703883983467.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva_xx_5.2.2_3.0_1703883983467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_angel_silva| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Angel-Silva/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen_xx.md new file mode 100644 index 0000000000000..912d9561e98a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen DistilBertForSequenceClassification from Braen +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen` is a Multilingual model originally trained by Braen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen_xx_5.2.2_3.0_1703893885998.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen_xx_5.2.2_3.0_1703893885998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_braen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Braen/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md new file mode 100644 index 0000000000000..6c989a43d8763 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam DistilBertForSequenceClassification from emiliam +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam` is a Multilingual model originally trained by emiliam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx_5.2.2_3.0_1703864882441.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx_5.2.2_3.0_1703864882441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop_xx.md new file mode 100644 index 0000000000000..b5a878960bb22 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop DistilBertForSequenceClassification from eocampop +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop` is a Multilingual model originally trained by eocampop. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop_xx_5.2.2_3.0_1703868440852.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop_xx_5.2.2_3.0_1703868440852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_eocampop| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/eocampop/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17_xx.md new file mode 100644 index 0000000000000..32ed562c338bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17 DistilBertForSequenceClassification from Estefanox17 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17` is a Multilingual model originally trained by Estefanox17. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17_xx_5.2.2_3.0_1703885794367.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17_xx_5.2.2_3.0_1703885794367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_estefanox17| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Estefanox17/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499_xx.md new file mode 100644 index 0000000000000..67debfaabb1ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499 DistilBertForSequenceClassification from hugo1499 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499` is a Multilingual model originally trained by hugo1499. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499_xx_5.2.2_3.0_1703862791933.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499_xx_5.2.2_3.0_1703862791933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hugo1499| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/hugo1499/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai_xx.md new file mode 100644 index 0000000000000..315e1a7ac6ded --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai DistilBertForSequenceClassification from JaimeAi +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai` is a Multilingual model originally trained by JaimeAi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai_xx_5.2.2_3.0_1703884716816.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai_xx_5.2.2_3.0_1703884716816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jaimeai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/JaimeAi/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg_xx.md new file mode 100644 index 0000000000000..e97621f5cb7a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg DistilBertForSequenceClassification from johacbeg +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg` is a Multilingual model originally trained by johacbeg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg_xx_5.2.2_3.0_1703861173116.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg_xx_5.2.2_3.0_1703861173116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_johacbeg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/johacbeg/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze_xx.md new file mode 100644 index 0000000000000..05ec2559833cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze DistilBertForSequenceClassification from Jumartineze +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze` is a Multilingual model originally trained by Jumartineze. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze_xx_5.2.2_3.0_1703885157827.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze_xx_5.2.2_3.0_1703885157827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_jumartineze| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Jumartineze/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid_xx.md new file mode 100644 index 0000000000000..262fe9b38e3a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid DistilBertForSequenceClassification from kevinid +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid` is a Multilingual model originally trained by kevinid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid_xx_5.2.2_3.0_1703880584074.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid_xx_5.2.2_3.0_1703880584074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kevinid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/kevinid/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt_xx.md new file mode 100644 index 0000000000000..fe57dc2afe7ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt DistilBertForSequenceClassification from rogelioplatt +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt` is a Multilingual model originally trained by rogelioplatt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt_xx_5.2.2_3.0_1703879268721.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt_xx_5.2.2_3.0_1703879268721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_rogelioplatt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/rogelioplatt/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo_xx.md new file mode 100644 index 0000000000000..bca1bdbf7f2fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo DistilBertForSequenceClassification from Angel-Silva +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo` is a Multilingual model originally trained by Angel-Silva. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo_xx_5.2.2_3.0_1703870698407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo_xx_5.2.2_3.0_1703870698407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sobremuestreo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Angel-Silva/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-sobremuestreo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark_xx.md new file mode 100644 index 0000000000000..0fb04620c6a9c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark DistilBertForSequenceClassification from ximexceark +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark` is a Multilingual model originally trained by ximexceark. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark_xx_5.2.2_3.0_1703883632081.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark_xx_5.2.2_3.0_1703883632081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ximexceark| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/ximexceark/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134_xx.md new file mode 100644 index 0000000000000..89bb49bcc66f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134 DistilBertForSequenceClassification from zsc-134 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134` is a Multilingual model originally trained by zsc-134. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134_xx_5.2.2_3.0_1703878100669.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134_xx_5.2.2_3.0_1703878100669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_zsc_134| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/zsc-134/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_pharmaceutical_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_pharmaceutical_xx.md new file mode 100644 index 0000000000000..ef0d5f830853d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_pharmaceutical_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_pharmaceutical DistilBertForSequenceClassification from xc2450 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_pharmaceutical +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_pharmaceutical` is a Multilingual model originally trained by xc2450. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_pharmaceutical_xx_5.2.2_3.0_1703892325323.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_pharmaceutical_xx_5.2.2_3.0_1703892325323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_pharmaceutical","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_pharmaceutical","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_pharmaceutical| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|510.4 MB| + +## References + +https://huggingface.co/xc2450/distilbert-base-multilingual-cased-finetuned-pharmaceutical \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_awwalker_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_awwalker_xx.md new file mode 100644 index 0000000000000..af650480a90a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_awwalker_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_solidarity_awwalker DistilBertForSequenceClassification from awwalker +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_solidarity_awwalker +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_solidarity_awwalker` is a Multilingual model originally trained by awwalker. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_awwalker_xx_5.2.2_3.0_1703892362386.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_awwalker_xx_5.2.2_3.0_1703892362386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_awwalker","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_awwalker","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_solidarity_awwalker| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/awwalker/distilbert-base-multilingual-cased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder_xx.md new file mode 100644 index 0000000000000..64a2b76accbf0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder DistilBertForSequenceClassification from Hablo-da-Coder +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder` is a Multilingual model originally trained by Hablo-da-Coder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder_xx_5.2.2_3.0_1703877543278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder_xx_5.2.2_3.0_1703877543278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_solidarity_hablo_da_coder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Hablo-da-Coder/distilbert-base-multilingual-cased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao_xx.md new file mode 100644 index 0000000000000..4342df27a87df --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao DistilBertForSequenceClassification from nikhilrao +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao` is a Multilingual model originally trained by nikhilrao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao_xx_5.2.2_3.0_1703863107518.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao_xx_5.2.2_3.0_1703863107518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_solidarity_nikhilrao| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/nikhilrao/distilbert-base-multilingual-cased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128_xx.md new file mode 100644 index 0000000000000..4ae15d186068f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128_xx_5.2.2_3.0_1703862423565.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128_xx_5.2.2_3.0_1703862423565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_128| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false-bs-128 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_manifesto_2018_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_manifesto_2018_xx.md new file mode 100644 index 0000000000000..5542fc4fd2fc8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_manifesto_2018_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_multilingual_cased_manifesto_2018 +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_manifesto_2018` is a Multilingual model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_manifesto_2018_xx_5.2.2_3.0_1703891651974.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_manifesto_2018_xx_5.2.2_3.0_1703891651974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_manifesto_2018","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_manifesto_2018","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-multilingual-cased-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_reseniasrandmoversamp_xx.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_reseniasrandmoversamp_xx.md new file mode 100644 index 0000000000000..83c2c2ff7964a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_multilingual_cased_reseniasrandmoversamp_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_reseniasrandmoversamp DistilBertForSequenceClassification from Adrius +author: John Snow Labs +name: distilbert_base_multilingual_cased_reseniasrandmoversamp +date: 2023-12-29 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_reseniasrandmoversamp` is a Multilingual model originally trained by Adrius. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_reseniasrandmoversamp_xx_5.2.2_3.0_1703876866324.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_reseniasrandmoversamp_xx_5.2.2_3.0_1703876866324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_reseniasrandmoversamp","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_reseniasrandmoversamp","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_reseniasrandmoversamp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Adrius/distilbert-base-multilingual-cased_ReseniasRandmOversamp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos_en.md new file mode 100644 index 0000000000000..0933227ed7ea5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos DistilBertForSequenceClassification from nani2306 +author: John Snow Labs +name: distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos` is a English model originally trained by nani2306. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos_en_5.2.2_3.0_1703865469436.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos_en_5.2.2_3.0_1703865469436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_spanish_uncased_finetuned_meia_analisisdesentimientos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/nani2306/distilbert-base-spanish-uncased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_approach3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_approach3_en.md new file mode 100644 index 0000000000000..6a47c3014c768 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_approach3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_approach3 DistilBertForSequenceClassification from aliromagnoli +author: John Snow Labs +name: distilbert_base_uncased_approach3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_approach3` is a English model originally trained by aliromagnoli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_approach3_en_5.2.2_3.0_1703866578857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_approach3_en_5.2.2_3.0_1703866578857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_approach3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_approach3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_approach3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aliromagnoli/distilbert-base-uncased-approach3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_cr_finetune_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_cr_finetune_en.md new file mode 100644 index 0000000000000..c4f2256ebde05 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_cr_finetune_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_cr_finetune DistilBertForSequenceClassification from songyi-ng +author: John Snow Labs +name: distilbert_base_uncased_cr_finetune +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cr_finetune` is a English model originally trained by songyi-ng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cr_finetune_en_5.2.2_3.0_1703870927857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cr_finetune_en_5.2.2_3.0_1703870927857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cr_finetune","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cr_finetune","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_cr_finetune| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/songyi-ng/distilbert_base_uncased_CR_finetune \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distiiled_clinc_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distiiled_clinc_en.md new file mode 100644 index 0000000000000..7b9404471ee30 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distiiled_clinc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distiiled_clinc DistilBertForSequenceClassification from sungkwangjoong +author: John Snow Labs +name: distilbert_base_uncased_distiiled_clinc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distiiled_clinc` is a English model originally trained by sungkwangjoong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distiiled_clinc_en_5.2.2_3.0_1703874433329.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distiiled_clinc_en_5.2.2_3.0_1703874433329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distiiled_clinc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distiiled_clinc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distiiled_clinc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/sungkwangjoong/distilbert-base-uncased-distiiled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_bh8648_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_bh8648_en.md new file mode 100644 index 0000000000000..5ca5aee87bde3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_bh8648_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_bh8648 DistilBertForSequenceClassification from bh8648 +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_bh8648 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_bh8648` is a English model originally trained by bh8648. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bh8648_en_5.2.2_3.0_1703886803714.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bh8648_en_5.2.2_3.0_1703886803714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_bh8648","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_bh8648","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_bh8648| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/bh8648/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_daiwenbin_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_daiwenbin_en.md new file mode 100644 index 0000000000000..9232f59eef9f2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_daiwenbin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_daiwenbin DistilBertForSequenceClassification from daiwenbin +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_daiwenbin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_daiwenbin` is a English model originally trained by daiwenbin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_daiwenbin_en_5.2.2_3.0_1703862173200.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_daiwenbin_en_5.2.2_3.0_1703862173200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_daiwenbin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_daiwenbin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_daiwenbin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/daiwenbin/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_edmon02_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_edmon02_en.md new file mode 100644 index 0000000000000..1358edf0d7810 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_edmon02_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_edmon02 DistilBertForSequenceClassification from Edmon02 +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_edmon02 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_edmon02` is a English model originally trained by Edmon02. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_edmon02_en_5.2.2_3.0_1703869199015.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_edmon02_en_5.2.2_3.0_1703869199015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_edmon02","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_edmon02","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_edmon02| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Edmon02/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_hexists_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_hexists_en.md new file mode 100644 index 0000000000000..73b00078c9625 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_hexists_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_hexists DistilBertForSequenceClassification from hexists +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_hexists +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_hexists` is a English model originally trained by hexists. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hexists_en_5.2.2_3.0_1703876190650.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hexists_en_5.2.2_3.0_1703876190650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_hexists","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_hexists","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_hexists| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/hexists/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_jay_c_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_jay_c_en.md new file mode 100644 index 0000000000000..e3b6ba0e4cfea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_jay_c_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_jay_c DistilBertForSequenceClassification from Jay-C +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_jay_c +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_jay_c` is a English model originally trained by Jay-C. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jay_c_en_5.2.2_3.0_1703871432096.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jay_c_en_5.2.2_3.0_1703871432096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_jay_c","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_jay_c","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_jay_c| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Jay-C/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_monkdalma_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_monkdalma_en.md new file mode 100644 index 0000000000000..dcf20bcc83079 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_monkdalma_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_monkdalma DistilBertForSequenceClassification from MonkDalma +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_monkdalma +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_monkdalma` is a English model originally trained by MonkDalma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_monkdalma_en_5.2.2_3.0_1703890175104.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_monkdalma_en_5.2.2_3.0_1703890175104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_monkdalma","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_monkdalma","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_monkdalma| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/MonkDalma/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_shindj_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_shindj_en.md new file mode 100644 index 0000000000000..2cac8aff25a60 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_shindj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_shindj DistilBertForSequenceClassification from ShinDJ +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_shindj +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_shindj` is a English model originally trained by ShinDJ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_shindj_en_5.2.2_3.0_1703892160974.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_shindj_en_5.2.2_3.0_1703892160974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_shindj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_shindj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_shindj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ShinDJ/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_soonmo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_soonmo_en.md new file mode 100644 index 0000000000000..719156d4f1462 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_soonmo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_soonmo DistilBertForSequenceClassification from soonmo +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_soonmo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_soonmo` is a English model originally trained by soonmo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_soonmo_en_5.2.2_3.0_1703878711487.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_soonmo_en_5.2.2_3.0_1703878711487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_soonmo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_soonmo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_soonmo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/soonmo/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_ysige_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_ysige_en.md new file mode 100644 index 0000000000000..ab122da9ca978 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_clinc_ysige_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_ysige DistilBertForSequenceClassification from ysige +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_ysige +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ysige` is a English model originally trained by ysige. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ysige_en_5.2.2_3.0_1703875489596.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ysige_en_5.2.2_3.0_1703875489596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ysige","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ysige","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_ysige| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ysige/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_squad_finetuned_clinc_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_squad_finetuned_clinc_en.md new file mode 100644 index 0000000000000..965a8aae40043 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_distilled_squad_finetuned_clinc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_squad_finetuned_clinc DistilBertForSequenceClassification from patnelt60 +author: John Snow Labs +name: distilbert_base_uncased_distilled_squad_finetuned_clinc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_squad_finetuned_clinc` is a English model originally trained by patnelt60. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_clinc_en_5.2.2_3.0_1703871444899.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_clinc_en_5.2.2_3.0_1703871444899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_squad_finetuned_clinc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_squad_finetuned_clinc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_squad_finetuned_clinc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.8 MB| + +## References + +https://huggingface.co/patnelt60/distilbert-base-uncased-distilled-squad-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_edu_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_edu_en.md new file mode 100644 index 0000000000000..81390c366b977 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_edu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_edu DistilBertForSequenceClassification from debajyotidatta +author: John Snow Labs +name: distilbert_base_uncased_edu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_edu` is a English model originally trained by debajyotidatta. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_edu_en_5.2.2_3.0_1703868594901.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_edu_en_5.2.2_3.0_1703868594901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_edu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_edu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_edu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/debajyotidatta/distilbert-base-uncased_edu \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_supercver_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_supercver_en.md new file mode 100644 index 0000000000000..1fc122173619a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_supercver_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_supercver DistilBertForSequenceClassification from supercver +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_supercver +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_supercver` is a English model originally trained by supercver. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_supercver_en_5.2.2_3.0_1703866696183.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_supercver_en_5.2.2_3.0_1703866696183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_supercver","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_supercver","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_supercver| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/supercver/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_tech4betterlife_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_tech4betterlife_en.md new file mode 100644 index 0000000000000..1dc03c18f619e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0416_tech4betterlife_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_tech4betterlife DistilBertForSequenceClassification from tech4betterlife +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_tech4betterlife +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_tech4betterlife` is a English model originally trained by tech4betterlife. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_tech4betterlife_en_5.2.2_3.0_1703893542376.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_tech4betterlife_en_5.2.2_3.0_1703893542376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_tech4betterlife","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_tech4betterlife","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_tech4betterlife| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tech4betterlife/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0624_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0624_en.md new file mode 100644 index 0000000000000..58e4fc1202d05 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_0624_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0624 DistilBertForSequenceClassification from luoyc3412 +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0624 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0624` is a English model originally trained by luoyc3412. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0624_en_5.2.2_3.0_1703873828920.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0624_en_5.2.2_3.0_1703873828920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0624","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0624","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0624| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/luoyc3412/distilbert-base-uncased_emotion_ft_0624 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_learn2pro_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_learn2pro_en.md new file mode 100644 index 0000000000000..8af5622e1ae11 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_ft_learn2pro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_learn2pro DistilBertForSequenceClassification from learn2pro +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_learn2pro +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_learn2pro` is a English model originally trained by learn2pro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_learn2pro_en_5.2.2_3.0_1703865923217.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_learn2pro_en_5.2.2_3.0_1703865923217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_learn2pro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_learn2pro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_learn2pro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/learn2pro/distilbert-base-uncased_emotion_ft_learn2pro \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_honours_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_honours_en.md new file mode 100644 index 0000000000000..47ca61df8323b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_emotion_honours_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_honours DistilBertForSequenceClassification from L-40408203 +author: John Snow Labs +name: distilbert_base_uncased_emotion_honours +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_honours` is a English model originally trained by L-40408203. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_honours_en_5.2.2_3.0_1703892661989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_honours_en_5.2.2_3.0_1703892661989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_honours","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_honours","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_honours| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/L-40408203/distilbert-base-uncased-emotion-honours \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_enger_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_enger_en.md new file mode 100644 index 0000000000000..5715a3f220e68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_enger_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_enger DistilBertForSequenceClassification from Enger +author: John Snow Labs +name: distilbert_base_uncased_enger +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_enger` is a English model originally trained by Enger. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_enger_en_5.2.2_3.0_1703864581724.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_enger_en_5.2.2_3.0_1703864581724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_enger","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_enger","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_enger| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Enger/distilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2_en.md new file mode 100644 index 0000000000000..3198a685a8e73 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2_en_5.2.2_3.0_1703877207640.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2_en_5.2.2_3.0_1703877207640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4_en.md new file mode 100644 index 0000000000000..315247ac18893 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4_en_5.2.2_3.0_1703883270081.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4_en_5.2.2_3.0_1703883270081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2_en.md new file mode 100644 index 0000000000000..694326e7fba11 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2_en_5.2.2_3.0_1703866555836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2_en_5.2.2_3.0_1703866555836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dp-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3_en.md new file mode 100644 index 0000000000000..5ac1cfe44c8f1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3_en_5.2.2_3.0_1703869506241.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3_en_5.2.2_3.0_1703869506241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dp_v3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dp-v3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2_en.md new file mode 100644 index 0000000000000..972d3e3742420 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2_en_5.2.2_3.0_1703862306224.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2_en_5.2.2_3.0_1703862306224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3_en.md new file mode 100644 index 0000000000000..fa17f63532dbf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3_en_5.2.2_3.0_1703891448586.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3_en_5.2.2_3.0_1703891448586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4_en.md new file mode 100644 index 0000000000000..16f791d6c968d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4_en_5.2.2_3.0_1703876047833.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4_en_5.2.2_3.0_1703876047833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1_en.md new file mode 100644 index 0000000000000..e3782b84faf16 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1_en_5.2.2_3.0_1703867763586.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1_en_5.2.2_3.0_1703867763586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-ep-v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3_en.md new file mode 100644 index 0000000000000..3bdf5e9476c94 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3_en_5.2.2_3.0_1703864866023.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3_en_5.2.2_3.0_1703864866023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_ep_v3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-ep-v3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1_en.md new file mode 100644 index 0000000000000..ba595f384be7e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1 DistilBertForSequenceClassification from hafidikhsan +author: John Snow Labs +name: distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1` is a English model originally trained by hafidikhsan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1_en_5.2.2_3.0_1703886250417.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1_en_5.2.2_3.0_1703886250417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_lr_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.3 MB| + +## References + +https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-lr-v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_1e_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_1e_en.md new file mode 100644 index 0000000000000..c141cdbb07464 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_1e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fine_tune_winogrande_8_1e DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: distilbert_base_uncased_fine_tune_winogrande_8_1e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tune_winogrande_8_1e` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_1e_en_5.2.2_3.0_1703874210744.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_1e_en_5.2.2_3.0_1703874210744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_1e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_1e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fine_tune_winogrande_8_1e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/distilbert-base-uncased-fine-tune-winogrande-8-1e \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_2e_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_2e_en.md new file mode 100644 index 0000000000000..bcbe2f56a7f73 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_2e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fine_tune_winogrande_8_2e DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: distilbert_base_uncased_fine_tune_winogrande_8_2e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tune_winogrande_8_2e` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_2e_en_5.2.2_3.0_1703879431245.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_2e_en_5.2.2_3.0_1703879431245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_2e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_2e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fine_tune_winogrande_8_2e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/distilbert-base-uncased-fine-tune-winogrande-8-2e \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_3e_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_3e_en.md new file mode 100644 index 0000000000000..03df01dcb8a56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_8_3e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fine_tune_winogrande_8_3e DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: distilbert_base_uncased_fine_tune_winogrande_8_3e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tune_winogrande_8_3e` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_3e_en_5.2.2_3.0_1703869667943.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_8_3e_en_5.2.2_3.0_1703869667943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_3e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_8_3e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fine_tune_winogrande_8_3e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/distilbert-base-uncased-fine-tune-winogrande-8-3e \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4_en.md new file mode 100644 index 0000000000000..a82981c280b58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4 DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4_en_5.2.2_3.0_1703879011443.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4_en_5.2.2_3.0_1703879011443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fine_tune_winogrande_ep_8_20000_bs4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/distilbert-base-uncased-fine-tune-winogrande-ep-8-20000-bs4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk_en.md new file mode 100644 index 0000000000000..0edb0150f160f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk DistilBertForSequenceClassification from gamerslinkTk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk` is a English model originally trained by gamerslinkTk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk_en_5.2.2_3.0_1703888037676.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk_en_5.2.2_3.0_1703888037676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_gamerslinktk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/gamerslinkTk/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_amazon_rating_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_amazon_rating_en.md new file mode 100644 index 0000000000000..7b7a644f0fb5b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_amazon_rating_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_amazon_rating DistilBertForSequenceClassification from FitChatG +author: John Snow Labs +name: distilbert_base_uncased_finetuned_amazon_rating +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_rating` is a English model originally trained by FitChatG. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_rating_en_5.2.2_3.0_1703865189484.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_rating_en_5.2.2_3.0_1703865189484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_amazon_rating","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_amazon_rating","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_amazon_rating| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/FitChatG/distilbert-base-uncased-finetuned-amazon-rating \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_assamese_sentences_zeroshot_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_assamese_sentences_zeroshot_en.md new file mode 100644 index 0000000000000..c3890dc19d262 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_assamese_sentences_zeroshot_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_assamese_sentences_zeroshot DistilBertForSequenceClassification from conorjudge +author: John Snow Labs +name: distilbert_base_uncased_finetuned_assamese_sentences_zeroshot +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_assamese_sentences_zeroshot` is a English model originally trained by conorjudge. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_assamese_sentences_zeroshot_en_5.2.2_3.0_1703889554573.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_assamese_sentences_zeroshot_en_5.2.2_3.0_1703889554573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_assamese_sentences_zeroshot","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_assamese_sentences_zeroshot","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_assamese_sentences_zeroshot| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/conorjudge/distilbert-base-uncased-finetuned-as_sentences_zeroshot \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_54data_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_54data_en.md new file mode 100644 index 0000000000000..fce56fd6da3b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_54data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_54data DistilBertForSequenceClassification from 54data +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_54data +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_54data` is a English model originally trained by 54data. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_54data_en_5.2.2_3.0_1703868756882.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_54data_en_5.2.2_3.0_1703868756882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_54data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_54data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_54data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/54data/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_alkampfer_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_alkampfer_en.md new file mode 100644 index 0000000000000..763636e866d66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_alkampfer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_alkampfer DistilBertForSequenceClassification from alkampfer +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_alkampfer +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_alkampfer` is a English model originally trained by alkampfer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_alkampfer_en_5.2.2_3.0_1703878855662.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_alkampfer_en_5.2.2_3.0_1703878855662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_alkampfer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_alkampfer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_alkampfer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/alkampfer/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_duykha0511_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_duykha0511_en.md new file mode 100644 index 0000000000000..43b7214cba658 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_duykha0511_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_duykha0511 DistilBertForSequenceClassification from duykha0511 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_duykha0511 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_duykha0511` is a English model originally trained by duykha0511. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_duykha0511_en_5.2.2_3.0_1703886685009.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_duykha0511_en_5.2.2_3.0_1703886685009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_duykha0511","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_duykha0511","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_duykha0511| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/duykha0511/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_hexists_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_hexists_en.md new file mode 100644 index 0000000000000..eebe2122f00fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_hexists_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_hexists DistilBertForSequenceClassification from hexists +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_hexists +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_hexists` is a English model originally trained by hexists. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hexists_en_5.2.2_3.0_1703881211502.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hexists_en_5.2.2_3.0_1703881211502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_hexists","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_hexists","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_hexists| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/hexists/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_itoh5588_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_itoh5588_en.md new file mode 100644 index 0000000000000..3c167baa070dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_itoh5588_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_itoh5588 DistilBertForSequenceClassification from itoh5588 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_itoh5588 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_itoh5588` is a English model originally trained by itoh5588. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_itoh5588_en_5.2.2_3.0_1703872331294.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_itoh5588_en_5.2.2_3.0_1703872331294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_itoh5588","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_itoh5588","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_itoh5588| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/itoh5588/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_kjunelee_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_kjunelee_en.md new file mode 100644 index 0000000000000..32e3678ae8af1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_kjunelee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_kjunelee DistilBertForSequenceClassification from kjunelee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_kjunelee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_kjunelee` is a English model originally trained by kjunelee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kjunelee_en_5.2.2_3.0_1703886813019.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kjunelee_en_5.2.2_3.0_1703886813019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_kjunelee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_kjunelee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_kjunelee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/kjunelee/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_matinhz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_matinhz_en.md new file mode 100644 index 0000000000000..5c6412d73e58d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_matinhz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_matinhz DistilBertForSequenceClassification from matinhz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_matinhz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_matinhz` is a English model originally trained by matinhz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_matinhz_en_5.2.2_3.0_1703874803135.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_matinhz_en_5.2.2_3.0_1703874803135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_matinhz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_matinhz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_matinhz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/matinhz/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_monkdalma_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_monkdalma_en.md new file mode 100644 index 0000000000000..01d650ec84f27 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_monkdalma_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_monkdalma DistilBertForSequenceClassification from MonkDalma +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_monkdalma +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_monkdalma` is a English model originally trained by MonkDalma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_monkdalma_en_5.2.2_3.0_1703893876647.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_monkdalma_en_5.2.2_3.0_1703893876647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_monkdalma","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_monkdalma","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_monkdalma| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/MonkDalma/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_nichonifroa_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_nichonifroa_en.md new file mode 100644 index 0000000000000..2a577adcc5028 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_nichonifroa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_nichonifroa DistilBertForSequenceClassification from nichonifroa +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_nichonifroa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_nichonifroa` is a English model originally trained by nichonifroa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nichonifroa_en_5.2.2_3.0_1703885174464.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nichonifroa_en_5.2.2_3.0_1703885174464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nichonifroa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nichonifroa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_nichonifroa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nichonifroa/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_soonmo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_soonmo_en.md new file mode 100644 index 0000000000000..6e2ed02b56fec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_soonmo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_soonmo DistilBertForSequenceClassification from soonmo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_soonmo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_soonmo` is a English model originally trained by soonmo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_soonmo_en_5.2.2_3.0_1703888673136.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_soonmo_en_5.2.2_3.0_1703888673136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_soonmo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_soonmo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_soonmo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/soonmo/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_yermalovich_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_yermalovich_en.md new file mode 100644 index 0000000000000..aeeb702951e8d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_clinc_yermalovich_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_yermalovich DistilBertForSequenceClassification from Yermalovich +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_yermalovich +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_yermalovich` is a English model originally trained by Yermalovich. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yermalovich_en_5.2.2_3.0_1703884447236.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yermalovich_en_5.2.2_3.0_1703884447236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yermalovich","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yermalovich","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_yermalovich| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Yermalovich/distilbert-base-uncased-finetuned_clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_202k_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_202k_en.md new file mode 100644 index 0000000000000..fe05ec7706503 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_202k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_202k DistilBertForSequenceClassification from 202k +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_202k +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_202k` is a English model originally trained by 202k. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_202k_en_5.2.2_3.0_1703879992257.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_202k_en_5.2.2_3.0_1703879992257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_202k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_202k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_202k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/202k/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_2_faith_nchifor_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_2_faith_nchifor_en.md new file mode 100644 index 0000000000000..bbe3158685d1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_2_faith_nchifor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_2_faith_nchifor DistilBertForSequenceClassification from Faith-nchifor +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_2_faith_nchifor +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_2_faith_nchifor` is a English model originally trained by Faith-nchifor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_2_faith_nchifor_en_5.2.2_3.0_1703875891870.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_2_faith_nchifor_en_5.2.2_3.0_1703875891870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_2_faith_nchifor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_2_faith_nchifor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_2_faith_nchifor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Faith-nchifor/distilbert-base-uncased-finetuned-cola-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_aleso8_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_aleso8_en.md new file mode 100644 index 0000000000000..241f676dc354a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_aleso8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_aleso8 DistilBertForSequenceClassification from ALESO8 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_aleso8 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_aleso8` is a English model originally trained by ALESO8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aleso8_en_5.2.2_3.0_1703880161281.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aleso8_en_5.2.2_3.0_1703880161281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aleso8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aleso8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_aleso8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ALESO8/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_amingh802001_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_amingh802001_en.md new file mode 100644 index 0000000000000..67bc73cef9114 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_amingh802001_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_amingh802001 DistilBertForSequenceClassification from amingh802001 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_amingh802001 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_amingh802001` is a English model originally trained by amingh802001. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_amingh802001_en_5.2.2_3.0_1703877073321.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_amingh802001_en_5.2.2_3.0_1703877073321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_amingh802001","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_amingh802001","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_amingh802001| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amingh802001/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_apurbasamal_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_apurbasamal_en.md new file mode 100644 index 0000000000000..ad4551248eb66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_apurbasamal_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_apurbasamal DistilBertForSequenceClassification from Apurbasamal +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_apurbasamal +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_apurbasamal` is a English model originally trained by Apurbasamal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_apurbasamal_en_5.2.2_3.0_1703871926323.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_apurbasamal_en_5.2.2_3.0_1703871926323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_apurbasamal","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_apurbasamal","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_apurbasamal| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Apurbasamal/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_arashbm_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_arashbm_en.md new file mode 100644 index 0000000000000..2f92bdff11281 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_arashbm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_arashbm DistilBertForSequenceClassification from arashbm +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_arashbm +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_arashbm` is a English model originally trained by arashbm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arashbm_en_5.2.2_3.0_1703872152158.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arashbm_en_5.2.2_3.0_1703872152158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_arashbm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_arashbm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_arashbm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/arashbm/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_bdickson_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_bdickson_en.md new file mode 100644 index 0000000000000..a1326553737cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_bdickson_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_bdickson DistilBertForSequenceClassification from bdickson +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_bdickson +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bdickson` is a English model originally trained by bdickson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bdickson_en_5.2.2_3.0_1703889946451.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bdickson_en_5.2.2_3.0_1703889946451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_bdickson","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_bdickson","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_bdickson| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bdickson/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_cmacd12_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_cmacd12_en.md new file mode 100644 index 0000000000000..f8d8fcc3d7002 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_cmacd12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_cmacd12 DistilBertForSequenceClassification from CMacD12 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_cmacd12 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_cmacd12` is a English model originally trained by CMacD12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cmacd12_en_5.2.2_3.0_1703880133946.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cmacd12_en_5.2.2_3.0_1703880133946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_cmacd12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_cmacd12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_cmacd12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/CMacD12/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dannav_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dannav_en.md new file mode 100644 index 0000000000000..ab2376c220213 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dannav_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_dannav DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_dannav +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_dannav` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_dannav_en_5.2.2_3.0_1703887419659.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_dannav_en_5.2.2_3.0_1703887419659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_dannav","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_dannav","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_dannav| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dnordfors_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dnordfors_en.md new file mode 100644 index 0000000000000..26e5e3c4544a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_dnordfors_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_dnordfors DistilBertForSequenceClassification from dnordfors +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_dnordfors +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_dnordfors` is a English model originally trained by dnordfors. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_dnordfors_en_5.2.2_3.0_1703860680318.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_dnordfors_en_5.2.2_3.0_1703860680318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_dnordfors","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_dnordfors","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_dnordfors| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dnordfors/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_duxans_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_duxans_en.md new file mode 100644 index 0000000000000..43d15a76d74ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_duxans_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_duxans DistilBertForSequenceClassification from duxans +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_duxans +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_duxans` is a English model originally trained by duxans. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_duxans_en_5.2.2_3.0_1703866390896.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_duxans_en_5.2.2_3.0_1703866390896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_duxans","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_duxans","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_duxans| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/duxans/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_faith_nchifor_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_faith_nchifor_en.md new file mode 100644 index 0000000000000..895f555886996 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_faith_nchifor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_faith_nchifor DistilBertForSequenceClassification from Faith-nchifor +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_faith_nchifor +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_faith_nchifor` is a English model originally trained by Faith-nchifor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faith_nchifor_en_5.2.2_3.0_1703874600678.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faith_nchifor_en_5.2.2_3.0_1703874600678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_faith_nchifor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_faith_nchifor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_faith_nchifor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Faith-nchifor/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fcomoreno_barea_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fcomoreno_barea_en.md new file mode 100644 index 0000000000000..6e88db1fb66ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fcomoreno_barea_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_fcomoreno_barea DistilBertForSequenceClassification from FcoMoreno-Barea +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_fcomoreno_barea +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fcomoreno_barea` is a English model originally trained by FcoMoreno-Barea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fcomoreno_barea_en_5.2.2_3.0_1703890131735.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fcomoreno_barea_en_5.2.2_3.0_1703890131735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_fcomoreno_barea","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_fcomoreno_barea","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_fcomoreno_barea| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/FcoMoreno-Barea/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fxxcyz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fxxcyz_en.md new file mode 100644 index 0000000000000..6c191ae3614a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_fxxcyz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_fxxcyz DistilBertForSequenceClassification from fxxcyz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_fxxcyz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fxxcyz` is a English model originally trained by fxxcyz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fxxcyz_en_5.2.2_3.0_1703886386841.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fxxcyz_en_5.2.2_3.0_1703886386841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_fxxcyz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_fxxcyz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_fxxcyz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fxxcyz/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_guhuawuli_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_guhuawuli_en.md new file mode 100644 index 0000000000000..79d3064037adb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_guhuawuli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_guhuawuli DistilBertForSequenceClassification from guhuawuli +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_guhuawuli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_guhuawuli` is a English model originally trained by guhuawuli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_guhuawuli_en_5.2.2_3.0_1703871590948.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_guhuawuli_en_5.2.2_3.0_1703871590948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_guhuawuli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_guhuawuli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_guhuawuli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/guhuawuli/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hanxiong_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hanxiong_en.md new file mode 100644 index 0000000000000..c8f2c9c81e70d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hanxiong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_hanxiong DistilBertForSequenceClassification from hanxiong +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_hanxiong +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hanxiong` is a English model originally trained by hanxiong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hanxiong_en_5.2.2_3.0_1703862391972.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hanxiong_en_5.2.2_3.0_1703862391972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hanxiong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hanxiong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_hanxiong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hanxiong/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hsianchengfun_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hsianchengfun_en.md new file mode 100644 index 0000000000000..5d67189bb99fe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hsianchengfun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_hsianchengfun DistilBertForSequenceClassification from Hsianchengfun +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_hsianchengfun +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hsianchengfun` is a English model originally trained by Hsianchengfun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hsianchengfun_en_5.2.2_3.0_1703889087781.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hsianchengfun_en_5.2.2_3.0_1703889087781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hsianchengfun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hsianchengfun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_hsianchengfun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Hsianchengfun/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hxz116_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hxz116_en.md new file mode 100644 index 0000000000000..b20e713b42f68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_hxz116_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_hxz116 DistilBertForSequenceClassification from hxz116 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_hxz116 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hxz116` is a English model originally trained by hxz116. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hxz116_en_5.2.2_3.0_1703887720252.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hxz116_en_5.2.2_3.0_1703887720252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hxz116","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hxz116","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_hxz116| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hxz116/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ijsc_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ijsc_en.md new file mode 100644 index 0000000000000..118656106ae97 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ijsc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_ijsc DistilBertForSequenceClassification from ijsc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_ijsc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ijsc` is a English model originally trained by ijsc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ijsc_en_5.2.2_3.0_1703865923198.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ijsc_en_5.2.2_3.0_1703865923198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ijsc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ijsc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_ijsc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ijsc/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jinggu_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jinggu_en.md new file mode 100644 index 0000000000000..e83e1d43d0b12 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jinggu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jinggu DistilBertForSequenceClassification from jinggu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jinggu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jinggu` is a English model originally trained by jinggu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jinggu_en_5.2.2_3.0_1703873428985.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jinggu_en_5.2.2_3.0_1703873428985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jinggu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jinggu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jinggu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jinggu/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_joitandr_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_joitandr_en.md new file mode 100644 index 0000000000000..a8c5ac64cd8e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_joitandr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_joitandr DistilBertForSequenceClassification from joitandr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_joitandr +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_joitandr` is a English model originally trained by joitandr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_joitandr_en_5.2.2_3.0_1703890089576.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_joitandr_en_5.2.2_3.0_1703890089576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_joitandr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_joitandr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_joitandr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joitandr/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jomart_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jomart_en.md new file mode 100644 index 0000000000000..eaa09a8f8a8f9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jomart_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jomart DistilBertForSequenceClassification from JoMart +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jomart +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jomart` is a English model originally trained by JoMart. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jomart_en_5.2.2_3.0_1703870774276.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jomart_en_5.2.2_3.0_1703870774276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jomart","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jomart","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jomart| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JoMart/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jyotsana_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jyotsana_en.md new file mode 100644 index 0000000000000..eb85d70e63145 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_jyotsana_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jyotsana DistilBertForSequenceClassification from jyotsana +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jyotsana +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jyotsana` is a English model originally trained by jyotsana. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jyotsana_en_5.2.2_3.0_1703879560733.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jyotsana_en_5.2.2_3.0_1703879560733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jyotsana","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jyotsana","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jyotsana| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jyotsana/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ks15_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ks15_en.md new file mode 100644 index 0000000000000..fc77cb9fccae1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_ks15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_ks15 DistilBertForSequenceClassification from ks15 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_ks15 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ks15` is a English model originally trained by ks15. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ks15_en_5.2.2_3.0_1703890622378.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ks15_en_5.2.2_3.0_1703890622378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ks15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ks15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_ks15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ks15/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_kutkopy_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_kutkopy_en.md new file mode 100644 index 0000000000000..6d862d6427532 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_kutkopy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_kutkopy DistilBertForSequenceClassification from kutkopy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_kutkopy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kutkopy` is a English model originally trained by kutkopy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kutkopy_en_5.2.2_3.0_1703880718203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kutkopy_en_5.2.2_3.0_1703880718203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kutkopy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kutkopy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_kutkopy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kutkopy/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_marsten_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_marsten_en.md new file mode 100644 index 0000000000000..365ec9a9ab7f3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_marsten_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_marsten DistilBertForSequenceClassification from marsten +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_marsten +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_marsten` is a English model originally trained by marsten. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_marsten_en_5.2.2_3.0_1703882899854.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_marsten_en_5.2.2_3.0_1703882899854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_marsten","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_marsten","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_marsten| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/marsten/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_mfedor_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_mfedor_en.md new file mode 100644 index 0000000000000..85de65f0a0b43 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_mfedor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_mfedor DistilBertForSequenceClassification from MFedor +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_mfedor +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_mfedor` is a English model originally trained by MFedor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mfedor_en_5.2.2_3.0_1703891298962.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mfedor_en_5.2.2_3.0_1703891298962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mfedor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mfedor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_mfedor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/MFedor/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_michaelhsieh42_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_michaelhsieh42_en.md new file mode 100644 index 0000000000000..e3d9c5599dfb1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_michaelhsieh42_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_michaelhsieh42 DistilBertForSequenceClassification from michaelhsieh42 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_michaelhsieh42 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_michaelhsieh42` is a English model originally trained by michaelhsieh42. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_michaelhsieh42_en_5.2.2_3.0_1703868901390.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_michaelhsieh42_en_5.2.2_3.0_1703868901390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_michaelhsieh42","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_michaelhsieh42","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_michaelhsieh42| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/michaelhsieh42/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_n3bbb_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_n3bbb_en.md new file mode 100644 index 0000000000000..9cf26de66e424 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_n3bbb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_n3bbb DistilBertForSequenceClassification from n3bbb +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_n3bbb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_n3bbb` is a English model originally trained by n3bbb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_n3bbb_en_5.2.2_3.0_1703863810275.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_n3bbb_en_5.2.2_3.0_1703863810275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_n3bbb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_n3bbb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_n3bbb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/n3bbb/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nicole1234_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nicole1234_en.md new file mode 100644 index 0000000000000..f21ad1a3ee6fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nicole1234_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_nicole1234 DistilBertForSequenceClassification from nicole1234 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_nicole1234 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nicole1234` is a English model originally trained by nicole1234. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nicole1234_en_5.2.2_3.0_1703882907903.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nicole1234_en_5.2.2_3.0_1703882907903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nicole1234","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nicole1234","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_nicole1234| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nicole1234/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nik1806_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nik1806_en.md new file mode 100644 index 0000000000000..e91e7f902119d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_nik1806_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_nik1806 DistilBertForSequenceClassification from nik1806 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_nik1806 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nik1806` is a English model originally trained by nik1806. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nik1806_en_5.2.2_3.0_1703867909749.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nik1806_en_5.2.2_3.0_1703867909749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nik1806","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nik1806","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_nik1806| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nik1806/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_parishmj22_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_parishmj22_en.md new file mode 100644 index 0000000000000..bc7795a82c7bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_parishmj22_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_parishmj22 DistilBertForSequenceClassification from parishmj22 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_parishmj22 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_parishmj22` is a English model originally trained by parishmj22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_parishmj22_en_5.2.2_3.0_1703864368926.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_parishmj22_en_5.2.2_3.0_1703864368926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_parishmj22","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_parishmj22","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_parishmj22| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/parishmj22/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_pleasework12_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_pleasework12_en.md new file mode 100644 index 0000000000000..6bac24e6bf669 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_pleasework12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_pleasework12 DistilBertForSequenceClassification from pleaseWork12 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_pleasework12 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_pleasework12` is a English model originally trained by pleaseWork12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pleasework12_en_5.2.2_3.0_1703890782756.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pleasework12_en_5.2.2_3.0_1703890782756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_pleasework12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_pleasework12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_pleasework12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pleaseWork12/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_rd_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_rd_1_en.md new file mode 100644 index 0000000000000..2a3463f1f3c3c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_rd_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_rd_1 DistilBertForSequenceClassification from rd-1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_rd_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rd_1` is a English model originally trained by rd-1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rd_1_en_5.2.2_3.0_1703876195243.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rd_1_en_5.2.2_3.0_1703876195243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_rd_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_rd_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_rd_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rd-1/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad_en.md new file mode 100644 index 0000000000000..7fb374a969e90 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad DistilBertForSequenceClassification from safasfasdasdasdadsad +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad` is a English model originally trained by safasfasdasdasdadsad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad_en_5.2.2_3.0_1703869678589.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad_en_5.2.2_3.0_1703869678589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_safasfasdasdasdadsad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/safasfasdasdasdadsad/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sanjaybora04_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sanjaybora04_en.md new file mode 100644 index 0000000000000..4baba1c7383a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sanjaybora04_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_sanjaybora04 DistilBertForSequenceClassification from sanjaybora04 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_sanjaybora04 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_sanjaybora04` is a English model originally trained by sanjaybora04. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sanjaybora04_en_5.2.2_3.0_1703894184141.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sanjaybora04_en_5.2.2_3.0_1703894184141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sanjaybora04","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sanjaybora04","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_sanjaybora04| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sanjaybora04/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_shreedhartodkar_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_shreedhartodkar_en.md new file mode 100644 index 0000000000000..bec545bd02c56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_shreedhartodkar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_shreedhartodkar DistilBertForSequenceClassification from shreedhartodkar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_shreedhartodkar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_shreedhartodkar` is a English model originally trained by shreedhartodkar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shreedhartodkar_en_5.2.2_3.0_1703871415522.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shreedhartodkar_en_5.2.2_3.0_1703871415522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_shreedhartodkar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_shreedhartodkar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_shreedhartodkar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shreedhartodkar/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_siddhartht_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_siddhartht_en.md new file mode 100644 index 0000000000000..1421479cd89b6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_siddhartht_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_siddhartht DistilBertForSequenceClassification from siddhartht +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_siddhartht +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_siddhartht` is a English model originally trained by siddhartht. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_siddhartht_en_5.2.2_3.0_1703881207481.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_siddhartht_en_5.2.2_3.0_1703881207481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_siddhartht","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_siddhartht","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_siddhartht| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/siddhartht/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_silvacarl_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_silvacarl_en.md new file mode 100644 index 0000000000000..c82eddcda239a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_silvacarl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_silvacarl DistilBertForSequenceClassification from silvacarl +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_silvacarl +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_silvacarl` is a English model originally trained by silvacarl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_silvacarl_en_5.2.2_3.0_1703893127242.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_silvacarl_en_5.2.2_3.0_1703893127242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_silvacarl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_silvacarl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_silvacarl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/silvacarl/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sombrerosam_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sombrerosam_en.md new file mode 100644 index 0000000000000..06f09ed132544 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_sombrerosam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_sombrerosam DistilBertForSequenceClassification from SombreroSam +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_sombrerosam +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_sombrerosam` is a English model originally trained by SombreroSam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sombrerosam_en_5.2.2_3.0_1703871165799.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sombrerosam_en_5.2.2_3.0_1703871165799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sombrerosam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sombrerosam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_sombrerosam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SombreroSam/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_strnlz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_strnlz_en.md new file mode 100644 index 0000000000000..bc6c8eb1a2702 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_strnlz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_strnlz DistilBertForSequenceClassification from strnlz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_strnlz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_strnlz` is a English model originally trained by strnlz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_strnlz_en_5.2.2_3.0_1703875192993.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_strnlz_en_5.2.2_3.0_1703875192993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_strnlz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_strnlz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_strnlz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|144.7 MB| + +## References + +https://huggingface.co/strnlz/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_szj_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_szj_en.md new file mode 100644 index 0000000000000..f73ca8ee5ed3a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_szj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_szj DistilBertForSequenceClassification from szj +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_szj +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_szj` is a English model originally trained by szj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_szj_en_5.2.2_3.0_1703880886449.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_szj_en_5.2.2_3.0_1703880886449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_szj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_szj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_szj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/szj/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_taehoonkang_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_taehoonkang_en.md new file mode 100644 index 0000000000000..060acc6da3422 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_taehoonkang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_taehoonkang DistilBertForSequenceClassification from taehoonkang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_taehoonkang +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_taehoonkang` is a English model originally trained by taehoonkang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_taehoonkang_en_5.2.2_3.0_1703867479331.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_taehoonkang_en_5.2.2_3.0_1703867479331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_taehoonkang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_taehoonkang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_taehoonkang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/taehoonkang/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_vivianchen98_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_vivianchen98_en.md new file mode 100644 index 0000000000000..8502b5819a198 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_vivianchen98_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_vivianchen98 DistilBertForSequenceClassification from vivianchen98 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_vivianchen98 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_vivianchen98` is a English model originally trained by vivianchen98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_vivianchen98_en_5.2.2_3.0_1703885295652.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_vivianchen98_en_5.2.2_3.0_1703885295652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_vivianchen98","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_vivianchen98","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_vivianchen98| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vivianchen98/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_wildsheepchaser_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_wildsheepchaser_en.md new file mode 100644 index 0000000000000..e5e38526c9278 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_wildsheepchaser_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_wildsheepchaser DistilBertForSequenceClassification from wildsheepchaser +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_wildsheepchaser +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_wildsheepchaser` is a English model originally trained by wildsheepchaser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_wildsheepchaser_en_5.2.2_3.0_1703862601122.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_wildsheepchaser_en_5.2.2_3.0_1703862601122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_wildsheepchaser","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_wildsheepchaser","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_wildsheepchaser| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/wildsheepchaser/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_winterbro_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_winterbro_en.md new file mode 100644 index 0000000000000..089082ddc4cd0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_winterbro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_winterbro DistilBertForSequenceClassification from winterbro +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_winterbro +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_winterbro` is a English model originally trained by winterbro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_winterbro_en_5.2.2_3.0_1703885738048.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_winterbro_en_5.2.2_3.0_1703885738048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_winterbro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_winterbro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_winterbro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/winterbro/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_yoninazarathy_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_yoninazarathy_en.md new file mode 100644 index 0000000000000..5209d93b19268 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_cola_yoninazarathy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_yoninazarathy DistilBertForSequenceClassification from yoninazarathy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_yoninazarathy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_yoninazarathy` is a English model originally trained by yoninazarathy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_yoninazarathy_en_5.2.2_3.0_1703886950847.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_yoninazarathy_en_5.2.2_3.0_1703886950847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_yoninazarathy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_yoninazarathy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_yoninazarathy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yoninazarathy/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db1_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db1_2_en.md new file mode 100644 index 0000000000000..14c55b2bc1644 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db1_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_db1_2 DistilBertForSequenceClassification from mori-m0r1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_db1_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_db1_2` is a English model originally trained by mori-m0r1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_db1_2_en_5.2.2_3.0_1703875904906.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_db1_2_en_5.2.2_3.0_1703875904906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_db1_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_db1_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_db1_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mori-m0r1/distilbert-base-uncased-finetuned-db1.2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db2_en.md new file mode 100644 index 0000000000000..22cffeac87471 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_db2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_db2 DistilBertForSequenceClassification from mori-m0r1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_db2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_db2` is a English model originally trained by mori-m0r1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_db2_en_5.2.2_3.0_1703888707276.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_db2_en_5.2.2_3.0_1703888707276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_db2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_db2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_db2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mori-m0r1/distilbert-base-uncased-finetuned-db2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_dbpedia_0517_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_dbpedia_0517_en.md new file mode 100644 index 0000000000000..c23d56f6bc647 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_dbpedia_0517_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_dbpedia_0517 DistilBertForSequenceClassification from Danni +author: John Snow Labs +name: distilbert_base_uncased_finetuned_dbpedia_0517 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dbpedia_0517` is a English model originally trained by Danni. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dbpedia_0517_en_5.2.2_3.0_1703875289517.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dbpedia_0517_en_5.2.2_3.0_1703875289517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_dbpedia_0517","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_dbpedia_0517","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_dbpedia_0517| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Danni/distilbert-base-uncased-finetuned-dbpedia-0517 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emo_en.md new file mode 100644 index 0000000000000..b40943cd9b498 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emo DistilBertForSequenceClassification from Alexisbal +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emo` is a English model originally trained by Alexisbal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_en_5.2.2_3.0_1703862069291.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_en_5.2.2_3.0_1703862069291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Alexisbal/distilbert-base-uncased-finetuned-emo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_01_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_01_en.md new file mode 100644 index 0000000000000..80db48ffb3abd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_01 DistilBertForSequenceClassification from Hardeep +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_01` is a English model originally trained by Hardeep. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_01_en_5.2.2_3.0_1703877597079.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_01_en_5.2.2_3.0_1703877597079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hardeep/distilbert-base-uncased-finetuned-emotion-01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_20230301102845_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_20230301102845_en.md new file mode 100644 index 0000000000000..7cf519cc27b9b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_20230301102845_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_20230301102845 DistilBertForSequenceClassification from jngan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_20230301102845 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_20230301102845` is a English model originally trained by jngan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_20230301102845_en_5.2.2_3.0_1703870369161.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_20230301102845_en_5.2.2_3.0_1703870369161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_20230301102845","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_20230301102845","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_20230301102845| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jngan/distilbert-base-uncased-finetuned-emotion-20230301102845 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_adc4ml_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_adc4ml_en.md new file mode 100644 index 0000000000000..56912040c6944 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_adc4ml_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_2_adc4ml DistilBertForSequenceClassification from ADC4ML +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_2_adc4ml +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_2_adc4ml` is a English model originally trained by ADC4ML. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_adc4ml_en_5.2.2_3.0_1703884447206.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_adc4ml_en_5.2.2_3.0_1703884447206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_2_adc4ml","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_2_adc4ml","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_2_adc4ml| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ADC4ML/distilbert-base-uncased-finetuned-emotion-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_kenhoffman_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_kenhoffman_en.md new file mode 100644 index 0000000000000..1ea405e4182fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_2_kenhoffman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_2_kenhoffman DistilBertForSequenceClassification from kenhoffman +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_2_kenhoffman +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_2_kenhoffman` is a English model originally trained by kenhoffman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_kenhoffman_en_5.2.2_3.0_1703880290857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_kenhoffman_en_5.2.2_3.0_1703880290857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_2_kenhoffman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_2_kenhoffman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_2_kenhoffman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kenhoffman/distilbert-base-uncased-finetuned-emotion-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aal2015_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aal2015_en.md new file mode 100644 index 0000000000000..fa556139e4f2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aal2015_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_aal2015 DistilBertForSequenceClassification from aal2015 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_aal2015 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aal2015` is a English model originally trained by aal2015. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aal2015_en_5.2.2_3.0_1703893727220.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aal2015_en_5.2.2_3.0_1703893727220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aal2015","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aal2015","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_aal2015| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aal2015/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aasarmehdi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aasarmehdi_en.md new file mode 100644 index 0000000000000..e115a04c76073 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aasarmehdi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_aasarmehdi DistilBertForSequenceClassification from aasarmehdi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_aasarmehdi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aasarmehdi` is a English model originally trained by aasarmehdi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aasarmehdi_en_5.2.2_3.0_1703874782479.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aasarmehdi_en_5.2.2_3.0_1703874782479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aasarmehdi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aasarmehdi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_aasarmehdi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aasarmehdi/distilbert-base-uncased.finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary_en.md new file mode 100644 index 0000000000000..7c5795f22f3a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary DistilBertForSequenceClassification from abdelrahman-alkhodary +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary` is a English model originally trained by abdelrahman-alkhodary. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary_en_5.2.2_3.0_1703861305401.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary_en_5.2.2_3.0_1703861305401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_abdelrahman_alkhodary| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdelrahman-alkhodary/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_acsxz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_acsxz_en.md new file mode 100644 index 0000000000000..f6df229e48ac1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_acsxz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_acsxz DistilBertForSequenceClassification from acsxz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_acsxz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_acsxz` is a English model originally trained by acsxz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_acsxz_en_5.2.2_3.0_1703868868156.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_acsxz_en_5.2.2_3.0_1703868868156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_acsxz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_acsxz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_acsxz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/acsxz/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aidiary_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aidiary_en.md new file mode 100644 index 0000000000000..7cc19523a2355 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aidiary_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_aidiary DistilBertForSequenceClassification from aidiary +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_aidiary +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aidiary` is a English model originally trained by aidiary. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aidiary_en_5.2.2_3.0_1703872981256.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aidiary_en_5.2.2_3.0_1703872981256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aidiary","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aidiary","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_aidiary| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aidiary/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ajst_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ajst_en.md new file mode 100644 index 0000000000000..e572aa6638ea9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ajst_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ajst DistilBertForSequenceClassification from ajst +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ajst +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ajst` is a English model originally trained by ajst. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ajst_en_5.2.2_3.0_1703882460598.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ajst_en_5.2.2_3.0_1703882460598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ajst","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ajst","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ajst| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ajst/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akahori_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akahori_en.md new file mode 100644 index 0000000000000..bc4a90af47b68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akahori_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_akahori DistilBertForSequenceClassification from akahori +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_akahori +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_akahori` is a English model originally trained by akahori. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akahori_en_5.2.2_3.0_1703868759514.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akahori_en_5.2.2_3.0_1703868759514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_akahori","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_akahori","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_akahori| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/akahori/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akira0402_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akira0402_en.md new file mode 100644 index 0000000000000..9448ec80fa9d5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_akira0402_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_akira0402 DistilBertForSequenceClassification from akira0402 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_akira0402 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_akira0402` is a English model originally trained by akira0402. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akira0402_en_5.2.2_3.0_1703891143688.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akira0402_en_5.2.2_3.0_1703891143688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_akira0402","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_akira0402","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_akira0402| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/akira0402/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alejopaullier_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alejopaullier_en.md new file mode 100644 index 0000000000000..877c831b0d999 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alejopaullier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alejopaullier DistilBertForSequenceClassification from alejopaullier +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alejopaullier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alejopaullier` is a English model originally trained by alejopaullier. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alejopaullier_en_5.2.2_3.0_1703891447526.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alejopaullier_en_5.2.2_3.0_1703891447526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alejopaullier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alejopaullier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alejopaullier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alejopaullier/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alibaygi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alibaygi_en.md new file mode 100644 index 0000000000000..4b86435ba62cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_alibaygi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alibaygi DistilBertForSequenceClassification from alibaygi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alibaygi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alibaygi` is a English model originally trained by alibaygi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alibaygi_en_5.2.2_3.0_1703884144749.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alibaygi_en_5.2.2_3.0_1703884144749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alibaygi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alibaygi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alibaygi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alibaygi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amiola_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amiola_en.md new file mode 100644 index 0000000000000..375691a876f8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amiola_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_amiola DistilBertForSequenceClassification from amiola +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_amiola +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_amiola` is a English model originally trained by amiola. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amiola_en_5.2.2_3.0_1703879552670.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amiola_en_5.2.2_3.0_1703879552670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amiola","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amiola","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_amiola| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amiola/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amutiara_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amutiara_en.md new file mode 100644 index 0000000000000..4439aec68a409 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_amutiara_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_amutiara DistilBertForSequenceClassification from amutiara +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_amutiara +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_amutiara` is a English model originally trained by amutiara. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amutiara_en_5.2.2_3.0_1703893892667.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amutiara_en_5.2.2_3.0_1703893892667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amutiara","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amutiara","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_amutiara| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amutiara/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ancolin_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ancolin_en.md new file mode 100644 index 0000000000000..644d3dcadb389 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ancolin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ancolin DistilBertForSequenceClassification from ancolin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ancolin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ancolin` is a English model originally trained by ancolin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ancolin_en_5.2.2_3.0_1703872004412.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ancolin_en_5.2.2_3.0_1703872004412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ancolin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ancolin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ancolin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ancolin/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_andrea_coppari_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_andrea_coppari_en.md new file mode 100644 index 0000000000000..cb738ead31dec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_andrea_coppari_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_andrea_coppari DistilBertForSequenceClassification from andrea-coppari +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_andrea_coppari +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andrea_coppari` is a English model originally trained by andrea-coppari. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andrea_coppari_en_5.2.2_3.0_1703871419543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andrea_coppari_en_5.2.2_3.0_1703871419543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_andrea_coppari","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_andrea_coppari","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_andrea_coppari| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/andrea-coppari/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_anita_clmnt_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_anita_clmnt_en.md new file mode 100644 index 0000000000000..65c69d33ed29c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_anita_clmnt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_anita_clmnt DistilBertForSequenceClassification from anita-clmnt +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_anita_clmnt +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_anita_clmnt` is a English model originally trained by anita-clmnt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anita_clmnt_en_5.2.2_3.0_1703879670170.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anita_clmnt_en_5.2.2_3.0_1703879670170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anita_clmnt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anita_clmnt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_anita_clmnt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anita-clmnt/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_awj_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_awj_en.md new file mode 100644 index 0000000000000..1ef64015e0ee4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_awj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_awj DistilBertForSequenceClassification from awj +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_awj +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_awj` is a English model originally trained by awj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_awj_en_5.2.2_3.0_1703883930366.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_awj_en_5.2.2_3.0_1703883930366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_awj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_awj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_awj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/awj/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aytugkaya_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aytugkaya_en.md new file mode 100644 index 0000000000000..46f06b20d8292 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_aytugkaya_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_aytugkaya DistilBertForSequenceClassification from aytugkaya +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_aytugkaya +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aytugkaya` is a English model originally trained by aytugkaya. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aytugkaya_en_5.2.2_3.0_1703862773137.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aytugkaya_en_5.2.2_3.0_1703862773137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aytugkaya","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aytugkaya","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_aytugkaya| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aytugkaya/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_berto9387_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_berto9387_en.md new file mode 100644 index 0000000000000..54e876304840f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_berto9387_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_berto9387 DistilBertForSequenceClassification from berto9387 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_berto9387 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_berto9387` is a English model originally trained by berto9387. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_berto9387_en_5.2.2_3.0_1703876400787.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_berto9387_en_5.2.2_3.0_1703876400787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_berto9387","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_berto9387","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_berto9387| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/berto9387/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_betow_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_betow_en.md new file mode 100644 index 0000000000000..8aa8885c0d170 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_betow_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_betow DistilBertForSequenceClassification from Betow +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_betow +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_betow` is a English model originally trained by Betow. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_betow_en_5.2.2_3.0_1703886511533.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_betow_en_5.2.2_3.0_1703886511533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_betow","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_betow","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_betow| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Betow/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bfriederich_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bfriederich_en.md new file mode 100644 index 0000000000000..b526d2437d85b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bfriederich_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bfriederich DistilBertForSequenceClassification from bfriederich +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bfriederich +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bfriederich` is a English model originally trained by bfriederich. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bfriederich_en_5.2.2_3.0_1703872190746.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bfriederich_en_5.2.2_3.0_1703872190746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bfriederich","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bfriederich","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bfriederich| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bfriederich/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_binzhu2023_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_binzhu2023_en.md new file mode 100644 index 0000000000000..081b9a82436fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_binzhu2023_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_binzhu2023 DistilBertForSequenceClassification from binzhu2023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_binzhu2023 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_binzhu2023` is a English model originally trained by binzhu2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_binzhu2023_en_5.2.2_3.0_1703880707496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_binzhu2023_en_5.2.2_3.0_1703880707496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_binzhu2023","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_binzhu2023","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_binzhu2023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/binzhu2023/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_boilertoad_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_boilertoad_en.md new file mode 100644 index 0000000000000..48a0be5bbad37 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_boilertoad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_boilertoad DistilBertForSequenceClassification from BoilerToad +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_boilertoad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_boilertoad` is a English model originally trained by BoilerToad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boilertoad_en_5.2.2_3.0_1703890960666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boilertoad_en_5.2.2_3.0_1703890960666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_boilertoad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_boilertoad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_boilertoad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BoilerToad/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bravesong_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bravesong_en.md new file mode 100644 index 0000000000000..ed244aa68335c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bravesong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bravesong DistilBertForSequenceClassification from bravesong +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bravesong +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bravesong` is a English model originally trained by bravesong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bravesong_en_5.2.2_3.0_1703889242874.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bravesong_en_5.2.2_3.0_1703889242874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bravesong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bravesong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bravesong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bravesong/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_brunogs_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_brunogs_en.md new file mode 100644 index 0000000000000..f48cccd99888a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_brunogs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_brunogs DistilBertForSequenceClassification from brunogs +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_brunogs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_brunogs` is a English model originally trained by brunogs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_brunogs_en_5.2.2_3.0_1703880891614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_brunogs_en_5.2.2_3.0_1703880891614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_brunogs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_brunogs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_brunogs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/brunogs/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bucketing_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bucketing_en.md new file mode 100644 index 0000000000000..34b8f58b10e52 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_bucketing_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bucketing DistilBertForSequenceClassification from sunwooooong +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bucketing +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bucketing` is a English model originally trained by sunwooooong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bucketing_en_5.2.2_3.0_1703883099134.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bucketing_en_5.2.2_3.0_1703883099134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bucketing","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bucketing","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bucketing| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sunwooooong/distilbert-base-uncased-finetuned-emotion-bucketing \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_byoungryuloh_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_byoungryuloh_en.md new file mode 100644 index 0000000000000..1874a9139ae38 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_byoungryuloh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_byoungryuloh DistilBertForSequenceClassification from byoungryuloh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_byoungryuloh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_byoungryuloh` is a English model originally trained by byoungryuloh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_byoungryuloh_en_5.2.2_3.0_1703863263301.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_byoungryuloh_en_5.2.2_3.0_1703863263301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_byoungryuloh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_byoungryuloh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_byoungryuloh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/byoungryuloh/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_changki_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_changki_en.md new file mode 100644 index 0000000000000..9a2a3ff38bc31 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_changki_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_changki DistilBertForSequenceClassification from changki +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_changki +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_changki` is a English model originally trained by changki. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_changki_en_5.2.2_3.0_1703887592909.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_changki_en_5.2.2_3.0_1703887592909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_changki","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_changki","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_changki| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/changki/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_charles_go_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_charles_go_en.md new file mode 100644 index 0000000000000..142619fc37915 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_charles_go_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_charles_go DistilBertForSequenceClassification from charles-go +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_charles_go +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_charles_go` is a English model originally trained by charles-go. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charles_go_en_5.2.2_3.0_1703890575433.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charles_go_en_5.2.2_3.0_1703890575433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_charles_go","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_charles_go","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_charles_go| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/charles-go/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_chrstnkng_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_chrstnkng_en.md new file mode 100644 index 0000000000000..a09f4b44954c2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_chrstnkng_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_chrstnkng DistilBertForSequenceClassification from chrstnkng +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_chrstnkng +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_chrstnkng` is a English model originally trained by chrstnkng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chrstnkng_en_5.2.2_3.0_1703892016240.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chrstnkng_en_5.2.2_3.0_1703892016240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_chrstnkng","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_chrstnkng","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_chrstnkng| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chrstnkng/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ckandemir_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ckandemir_en.md new file mode 100644 index 0000000000000..e2a7a5baa6559 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ckandemir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ckandemir DistilBertForSequenceClassification from ckandemir +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ckandemir +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ckandemir` is a English model originally trained by ckandemir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ckandemir_en_5.2.2_3.0_1703865043327.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ckandemir_en_5.2.2_3.0_1703865043327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ckandemir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ckandemir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ckandemir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ckandemir/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_claytonsamples_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_claytonsamples_en.md new file mode 100644 index 0000000000000..932c201421d6e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_claytonsamples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_claytonsamples DistilBertForSequenceClassification from claytonsamples +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_claytonsamples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_claytonsamples` is a English model originally trained by claytonsamples. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_claytonsamples_en_5.2.2_3.0_1703887971496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_claytonsamples_en_5.2.2_3.0_1703887971496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_claytonsamples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_claytonsamples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_claytonsamples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/claytonsamples/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_clemyam_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_clemyam_en.md new file mode 100644 index 0000000000000..53366d244ad10 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_clemyam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_clemyam DistilBertForSequenceClassification from clemyam +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_clemyam +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_clemyam` is a English model originally trained by clemyam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_clemyam_en_5.2.2_3.0_1703884266064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_clemyam_en_5.2.2_3.0_1703884266064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_clemyam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_clemyam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_clemyam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/clemyam/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_colelsawbecky_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_colelsawbecky_en.md new file mode 100644 index 0000000000000..68bd4efe9d664 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_colelsawbecky_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_colelsawbecky DistilBertForSequenceClassification from colelsawbecky +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_colelsawbecky +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_colelsawbecky` is a English model originally trained by colelsawbecky. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_colelsawbecky_en_5.2.2_3.0_1703865567928.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_colelsawbecky_en_5.2.2_3.0_1703865567928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_colelsawbecky","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_colelsawbecky","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_colelsawbecky| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/colelsawbecky/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_daiwenbin_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_daiwenbin_en.md new file mode 100644 index 0000000000000..59a11801c04cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_daiwenbin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_daiwenbin DistilBertForSequenceClassification from daiwenbin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_daiwenbin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_daiwenbin` is a English model originally trained by daiwenbin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daiwenbin_en_5.2.2_3.0_1703873737219.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daiwenbin_en_5.2.2_3.0_1703873737219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daiwenbin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daiwenbin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_daiwenbin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/daiwenbin/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_danielmaxwell_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_danielmaxwell_en.md new file mode 100644 index 0000000000000..ac3968f07e1ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_danielmaxwell_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_danielmaxwell DistilBertForSequenceClassification from danielmaxwell +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_danielmaxwell +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_danielmaxwell` is a English model originally trained by danielmaxwell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_danielmaxwell_en_5.2.2_3.0_1703890480155.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_danielmaxwell_en_5.2.2_3.0_1703890480155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_danielmaxwell","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_danielmaxwell","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_danielmaxwell| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/danielmaxwell/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_darrenkwondev_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_darrenkwondev_en.md new file mode 100644 index 0000000000000..9813f8592695b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_darrenkwondev_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_darrenkwondev DistilBertForSequenceClassification from darrenkwondev +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_darrenkwondev +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_darrenkwondev` is a English model originally trained by darrenkwondev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_darrenkwondev_en_5.2.2_3.0_1703863436514.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_darrenkwondev_en_5.2.2_3.0_1703863436514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_darrenkwondev","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_darrenkwondev","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_darrenkwondev| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/darrenkwondev/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dataset_en.md new file mode 100644 index 0000000000000..95542127a9908 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dataset DistilBertForSequenceClassification from ronit33 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dataset +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dataset` is a English model originally trained by ronit33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dataset_en_5.2.2_3.0_1703886243217.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dataset_en_5.2.2_3.0_1703886243217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ronit33/distilbert-base-uncased-finetuned-emotion-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_datnguyenquy94_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_datnguyenquy94_en.md new file mode 100644 index 0000000000000..ee86d64d56f4b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_datnguyenquy94_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_datnguyenquy94 DistilBertForSequenceClassification from datnguyenquy94 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_datnguyenquy94 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_datnguyenquy94` is a English model originally trained by datnguyenquy94. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_datnguyenquy94_en_5.2.2_3.0_1703880282481.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_datnguyenquy94_en_5.2.2_3.0_1703880282481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_datnguyenquy94","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_datnguyenquy94","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_datnguyenquy94| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/datnguyenquy94/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dawidkubicki_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dawidkubicki_en.md new file mode 100644 index 0000000000000..3677864bc193f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dawidkubicki_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dawidkubicki DistilBertForSequenceClassification from dawidkubicki +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dawidkubicki +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dawidkubicki` is a English model originally trained by dawidkubicki. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dawidkubicki_en_5.2.2_3.0_1703867566803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dawidkubicki_en_5.2.2_3.0_1703867566803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dawidkubicki","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dawidkubicki","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dawidkubicki| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|248.6 MB| + +## References + +https://huggingface.co/dawidkubicki/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_deepimpact6680_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_deepimpact6680_en.md new file mode 100644 index 0000000000000..1add1d9777440 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_deepimpact6680_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_deepimpact6680 DistilBertForSequenceClassification from deepimpact6680 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_deepimpact6680 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_deepimpact6680` is a English model originally trained by deepimpact6680. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deepimpact6680_en_5.2.2_3.0_1703862150262.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deepimpact6680_en_5.2.2_3.0_1703862150262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_deepimpact6680","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_deepimpact6680","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_deepimpact6680| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/deepimpact6680/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dkhusial_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dkhusial_en.md new file mode 100644 index 0000000000000..5d05c32dccf4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dkhusial_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dkhusial DistilBertForSequenceClassification from dkhusial +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dkhusial +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dkhusial` is a English model originally trained by dkhusial. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dkhusial_en_5.2.2_3.0_1703881808823.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dkhusial_en_5.2.2_3.0_1703881808823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dkhusial","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dkhusial","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dkhusial| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dkhusial/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dotcoco_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dotcoco_en.md new file mode 100644 index 0000000000000..f5ef5fdfc5710 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dotcoco_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dotcoco DistilBertForSequenceClassification from Dotcoco +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dotcoco +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dotcoco` is a English model originally trained by Dotcoco. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dotcoco_en_5.2.2_3.0_1703889370989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dotcoco_en_5.2.2_3.0_1703889370989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dotcoco","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dotcoco","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dotcoco| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Dotcoco/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_drishtisharma_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_drishtisharma_en.md new file mode 100644 index 0000000000000..86fd5e6197fa7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_drishtisharma_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_drishtisharma DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_drishtisharma +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_drishtisharma` is a English model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_drishtisharma_en_5.2.2_3.0_1703879708993.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_drishtisharma_en_5.2.2_3.0_1703879708993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_drishtisharma","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_drishtisharma","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_drishtisharma| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dzdn_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dzdn_en.md new file mode 100644 index 0000000000000..6f8ce6e57d939 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_dzdn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dzdn DistilBertForSequenceClassification from dzdn +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dzdn +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dzdn` is a English model originally trained by dzdn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dzdn_en_5.2.2_3.0_1703893729696.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dzdn_en_5.2.2_3.0_1703893729696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dzdn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dzdn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dzdn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dzdn/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eamar_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eamar_en.md new file mode 100644 index 0000000000000..0e44a6a2cd800 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eamar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_eamar DistilBertForSequenceClassification from eamar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_eamar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_eamar` is a English model originally trained by eamar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eamar_en_5.2.2_3.0_1703884984429.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eamar_en_5.2.2_3.0_1703884984429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eamar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eamar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_eamar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eamar/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eatrero_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eatrero_en.md new file mode 100644 index 0000000000000..eb00c8e94a1d4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eatrero_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_eatrero DistilBertForSequenceClassification from eatrero +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_eatrero +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_eatrero` is a English model originally trained by eatrero. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eatrero_en_5.2.2_3.0_1703860889534.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eatrero_en_5.2.2_3.0_1703860889534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eatrero","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eatrero","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_eatrero| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eatrero/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_egirones_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_egirones_en.md new file mode 100644 index 0000000000000..6e2b882003cfe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_egirones_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_egirones DistilBertForSequenceClassification from egirones +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_egirones +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_egirones` is a English model originally trained by egirones. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_egirones_en_5.2.2_3.0_1703865610912.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_egirones_en_5.2.2_3.0_1703865610912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_egirones","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_egirones","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_egirones| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/egirones/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ehanw_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ehanw_en.md new file mode 100644 index 0000000000000..541977acc5cb8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ehanw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ehanw DistilBertForSequenceClassification from ehanw +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ehanw +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ehanw` is a English model originally trained by ehanw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ehanw_en_5.2.2_3.0_1703878349909.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ehanw_en_5.2.2_3.0_1703878349909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ehanw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ehanw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ehanw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ehanw/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_enochyearn_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_enochyearn_en.md new file mode 100644 index 0000000000000..ae56663d7a3e4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_enochyearn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_enochyearn DistilBertForSequenceClassification from enochyearn +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_enochyearn +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_enochyearn` is a English model originally trained by enochyearn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_enochyearn_en_5.2.2_3.0_1703874231080.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_enochyearn_en_5.2.2_3.0_1703874231080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_enochyearn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_enochyearn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_enochyearn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/enochyearn/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_entaroid_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_entaroid_en.md new file mode 100644 index 0000000000000..aa0f4b28835ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_entaroid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_entaroid DistilBertForSequenceClassification from entaroid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_entaroid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_entaroid` is a English model originally trained by entaroid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_entaroid_en_5.2.2_3.0_1703887291093.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_entaroid_en_5.2.2_3.0_1703887291093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_entaroid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_entaroid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_entaroid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/entaroid/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_erfanfz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_erfanfz_en.md new file mode 100644 index 0000000000000..e8135761a804f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_erfanfz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_erfanfz DistilBertForSequenceClassification from Erfanfz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_erfanfz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_erfanfz` is a English model originally trained by Erfanfz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_erfanfz_en_5.2.2_3.0_1703864863245.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_erfanfz_en_5.2.2_3.0_1703864863245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_erfanfz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_erfanfz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_erfanfz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Erfanfz/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eulerianknight_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eulerianknight_en.md new file mode 100644 index 0000000000000..5cf515b58607f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eulerianknight_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_eulerianknight DistilBertForSequenceClassification from EulerianKnight +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_eulerianknight +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_eulerianknight` is a English model originally trained by EulerianKnight. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eulerianknight_en_5.2.2_3.0_1703881499699.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eulerianknight_en_5.2.2_3.0_1703881499699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eulerianknight","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eulerianknight","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_eulerianknight| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/EulerianKnight/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eusojk_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eusojk_en.md new file mode 100644 index 0000000000000..f9245cc47232e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_eusojk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_eusojk DistilBertForSequenceClassification from eusojk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_eusojk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_eusojk` is a English model originally trained by eusojk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eusojk_en_5.2.2_3.0_1703890964190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eusojk_en_5.2.2_3.0_1703890964190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eusojk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_eusojk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_eusojk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eusojk/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_fabius11_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_fabius11_en.md new file mode 100644 index 0000000000000..75264d9bc7971 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_fabius11_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_fabius11 DistilBertForSequenceClassification from fabius11 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_fabius11 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fabius11` is a English model originally trained by fabius11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fabius11_en_5.2.2_3.0_1703877314212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fabius11_en_5.2.2_3.0_1703877314212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fabius11","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fabius11","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_fabius11| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fabius11/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_febreze_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_febreze_en.md new file mode 100644 index 0000000000000..2c415232e0a81 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_febreze_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_febreze DistilBertForSequenceClassification from febreze +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_febreze +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_febreze` is a English model originally trained by febreze. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_febreze_en_5.2.2_3.0_1703886487468.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_febreze_en_5.2.2_3.0_1703886487468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_febreze","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_febreze","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_febreze| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/febreze/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_federicomartelli_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_federicomartelli_en.md new file mode 100644 index 0000000000000..30e850359b2e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_federicomartelli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_federicomartelli DistilBertForSequenceClassification from FedericoMartelli +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_federicomartelli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_federicomartelli` is a English model originally trained by FedericoMartelli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_federicomartelli_en_5.2.2_3.0_1703883792752.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_federicomartelli_en_5.2.2_3.0_1703883792752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_federicomartelli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_federicomartelli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_federicomartelli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/FedericoMartelli/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_finetuned_emotion_en.md new file mode 100644 index 0000000000000..96d9031f45733 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_finetuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_finetuned_emotion DistilBertForSequenceClassification from jakegehri +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_finetuned_emotion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_finetuned_emotion` is a English model originally trained by jakegehri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_finetuned_emotion_en_5.2.2_3.0_1703876170316.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_finetuned_emotion_en_5.2.2_3.0_1703876170316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_finetuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_finetuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_finetuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jakegehri/distilbert-base-uncased-finetuned_emotion-finetuned_emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ganghe74_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ganghe74_en.md new file mode 100644 index 0000000000000..17431ddad92a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ganghe74_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ganghe74 DistilBertForSequenceClassification from ganghe74 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ganghe74 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ganghe74` is a English model originally trained by ganghe74. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ganghe74_en_5.2.2_3.0_1703875344423.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ganghe74_en_5.2.2_3.0_1703875344423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ganghe74","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ganghe74","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ganghe74| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ganghe74/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_gnuevo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_gnuevo_en.md new file mode 100644 index 0000000000000..edfce56f96ebd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_gnuevo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gnuevo DistilBertForSequenceClassification from gnuevo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gnuevo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gnuevo` is a English model originally trained by gnuevo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gnuevo_en_5.2.2_3.0_1703888876102.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gnuevo_en_5.2.2_3.0_1703888876102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gnuevo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gnuevo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gnuevo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gnuevo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_halteroxhunter_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_halteroxhunter_en.md new file mode 100644 index 0000000000000..01f8f5ef8fe75 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_halteroxhunter_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_halteroxhunter DistilBertForSequenceClassification from HalteroXHunter +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_halteroxhunter +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_halteroxhunter` is a English model originally trained by HalteroXHunter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_halteroxhunter_en_5.2.2_3.0_1703885110494.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_halteroxhunter_en_5.2.2_3.0_1703885110494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_halteroxhunter","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_halteroxhunter","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_halteroxhunter| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HalteroXHunter/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_happyb_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_happyb_en.md new file mode 100644 index 0000000000000..98f8bc9aba084 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_happyb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_happyb DistilBertForSequenceClassification from Happyb +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_happyb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_happyb` is a English model originally trained by Happyb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_happyb_en_5.2.2_3.0_1703888796259.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_happyb_en_5.2.2_3.0_1703888796259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_happyb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_happyb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_happyb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Happyb/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_haradarope_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_haradarope_en.md new file mode 100644 index 0000000000000..f899f5297f155 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_haradarope_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_haradarope DistilBertForSequenceClassification from Haradarope +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_haradarope +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_haradarope` is a English model originally trained by Haradarope. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haradarope_en_5.2.2_3.0_1703879986251.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haradarope_en_5.2.2_3.0_1703879986251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_haradarope","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_haradarope","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_haradarope| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Haradarope/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hecsi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hecsi_en.md new file mode 100644 index 0000000000000..79fd0ab738572 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hecsi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hecsi DistilBertForSequenceClassification from hecsi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hecsi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hecsi` is a English model originally trained by hecsi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hecsi_en_5.2.2_3.0_1703877139069.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hecsi_en_5.2.2_3.0_1703877139069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hecsi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hecsi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hecsi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hecsi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hinojosaad_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hinojosaad_en.md new file mode 100644 index 0000000000000..bfc0980a300a8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hinojosaad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hinojosaad DistilBertForSequenceClassification from hinojosaad +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hinojosaad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hinojosaad` is a English model originally trained by hinojosaad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hinojosaad_en_5.2.2_3.0_1703886249210.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hinojosaad_en_5.2.2_3.0_1703886249210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hinojosaad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hinojosaad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hinojosaad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hinojosaad/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hkbluesky_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hkbluesky_en.md new file mode 100644 index 0000000000000..61c271b11a0e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_hkbluesky_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hkbluesky DistilBertForSequenceClassification from hkbluesky +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hkbluesky +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hkbluesky` is a English model originally trained by hkbluesky. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hkbluesky_en_5.2.2_3.0_1703878743868.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hkbluesky_en_5.2.2_3.0_1703878743868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hkbluesky","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hkbluesky","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hkbluesky| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hkbluesky/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idcohen149_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idcohen149_en.md new file mode 100644 index 0000000000000..067fec84662b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idcohen149_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_idcohen149 DistilBertForSequenceClassification from idcohen149 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_idcohen149 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_idcohen149` is a English model originally trained by idcohen149. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_idcohen149_en_5.2.2_3.0_1703880001985.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_idcohen149_en_5.2.2_3.0_1703880001985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_idcohen149","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_idcohen149","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_idcohen149| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/idcohen149/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idjotherwise_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idjotherwise_en.md new file mode 100644 index 0000000000000..47597eef97a0b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_idjotherwise_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_idjotherwise DistilBertForSequenceClassification from idjotherwise +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_idjotherwise +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_idjotherwise` is a English model originally trained by idjotherwise. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_idjotherwise_en_5.2.2_3.0_1703886806386.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_idjotherwise_en_5.2.2_3.0_1703886806386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_idjotherwise","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_idjotherwise","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_idjotherwise| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/idjotherwise/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_im888_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_im888_en.md new file mode 100644 index 0000000000000..c4b25c24fa454 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_im888_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_im888 DistilBertForSequenceClassification from im888 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_im888 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_im888` is a English model originally trained by im888. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_im888_en_5.2.2_3.0_1703879139924.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_im888_en_5.2.2_3.0_1703879139924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_im888","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_im888","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_im888| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/im888/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_interlab_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_interlab_en.md new file mode 100644 index 0000000000000..e961675ac176a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_interlab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_interlab DistilBertForSequenceClassification from interlab +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_interlab +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_interlab` is a English model originally trained by interlab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_interlab_en_5.2.2_3.0_1703874249777.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_interlab_en_5.2.2_3.0_1703874249777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_interlab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_interlab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_interlab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/interlab/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_israelfama_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_israelfama_en.md new file mode 100644 index 0000000000000..7da24bbc6d65f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_israelfama_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_israelfama DistilBertForSequenceClassification from israelfama +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_israelfama +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_israelfama` is a English model originally trained by israelfama. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_israelfama_en_5.2.2_3.0_1703866971890.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_israelfama_en_5.2.2_3.0_1703866971890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_israelfama","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_israelfama","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_israelfama| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/israelfama/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jakobbrunner_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jakobbrunner_en.md new file mode 100644 index 0000000000000..f23486734ddab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jakobbrunner_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jakobbrunner DistilBertForSequenceClassification from jakobBrunner +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jakobbrunner +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jakobbrunner` is a English model originally trained by jakobBrunner. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jakobbrunner_en_5.2.2_3.0_1703891684396.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jakobbrunner_en_5.2.2_3.0_1703891684396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jakobbrunner","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jakobbrunner","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jakobbrunner| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jakobBrunner/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jasonsheih_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jasonsheih_en.md new file mode 100644 index 0000000000000..c8f953109322d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jasonsheih_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jasonsheih DistilBertForSequenceClassification from jasonsheih +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jasonsheih +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jasonsheih` is a English model originally trained by jasonsheih. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jasonsheih_en_5.2.2_3.0_1703876492697.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jasonsheih_en_5.2.2_3.0_1703876492697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jasonsheih","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jasonsheih","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jasonsheih| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jasonsheih/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jaswant50_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jaswant50_en.md new file mode 100644 index 0000000000000..ee12511af346c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jaswant50_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jaswant50 DistilBertForSequenceClassification from jaswant50 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jaswant50 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jaswant50` is a English model originally trained by jaswant50. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jaswant50_en_5.2.2_3.0_1703888411769.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jaswant50_en_5.2.2_3.0_1703888411769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jaswant50","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jaswant50","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jaswant50| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jaswant50/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jb173_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jb173_en.md new file mode 100644 index 0000000000000..105135bfa8c6d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jb173_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jb173 DistilBertForSequenceClassification from JB173 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jb173 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jb173` is a English model originally trained by JB173. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jb173_en_5.2.2_3.0_1703892512366.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jb173_en_5.2.2_3.0_1703892512366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jb173","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jb173","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jb173| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JB173/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jlandahl_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jlandahl_en.md new file mode 100644 index 0000000000000..342eaa21695e2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jlandahl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jlandahl DistilBertForSequenceClassification from jlandahl +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jlandahl +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jlandahl` is a English model originally trained by jlandahl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jlandahl_en_5.2.2_3.0_1703886912624.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jlandahl_en_5.2.2_3.0_1703886912624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jlandahl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jlandahl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jlandahl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jlandahl/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jobeid_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jobeid_en.md new file mode 100644 index 0000000000000..93d610d551a68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jobeid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jobeid DistilBertForSequenceClassification from jobeid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jobeid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jobeid` is a English model originally trained by jobeid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jobeid_en_5.2.2_3.0_1703861846390.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jobeid_en_5.2.2_3.0_1703861846390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jobeid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jobeid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jobeid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jobeid/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_joelrrdavis_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_joelrrdavis_en.md new file mode 100644 index 0000000000000..07dd2a94e8651 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_joelrrdavis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_joelrrdavis DistilBertForSequenceClassification from Joelrrdavis +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_joelrrdavis +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_joelrrdavis` is a English model originally trained by Joelrrdavis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_joelrrdavis_en_5.2.2_3.0_1703877419160.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_joelrrdavis_en_5.2.2_3.0_1703877419160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_joelrrdavis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_joelrrdavis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_joelrrdavis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Joelrrdavis/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_johnsonj561_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_johnsonj561_en.md new file mode 100644 index 0000000000000..ea5a48471ce7f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_johnsonj561_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_johnsonj561 DistilBertForSequenceClassification from johnsonj561 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_johnsonj561 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_johnsonj561` is a English model originally trained by johnsonj561. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_johnsonj561_en_5.2.2_3.0_1703886544584.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_johnsonj561_en_5.2.2_3.0_1703886544584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_johnsonj561","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_johnsonj561","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_johnsonj561| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/johnsonj561/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_junejae_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_junejae_en.md new file mode 100644 index 0000000000000..64119d033465c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_junejae_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_junejae DistilBertForSequenceClassification from junejae +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_junejae +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_junejae` is a English model originally trained by junejae. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junejae_en_5.2.2_3.0_1703872025625.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junejae_en_5.2.2_3.0_1703872025625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junejae","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junejae","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_junejae| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/junejae/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jupitercoder_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jupitercoder_en.md new file mode 100644 index 0000000000000..4dce177802cbf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_jupitercoder_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jupitercoder DistilBertForSequenceClassification from jupitercoder +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jupitercoder +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jupitercoder` is a English model originally trained by jupitercoder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jupitercoder_en_5.2.2_3.0_1703861712841.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jupitercoder_en_5.2.2_3.0_1703861712841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jupitercoder","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jupitercoder","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jupitercoder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jupitercoder/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_justin1211_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_justin1211_en.md new file mode 100644 index 0000000000000..7d5a9778772a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_justin1211_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_justin1211 DistilBertForSequenceClassification from justin1211 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_justin1211 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_justin1211` is a English model originally trained by justin1211. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_justin1211_en_5.2.2_3.0_1703863845076.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_justin1211_en_5.2.2_3.0_1703863845076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_justin1211","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_justin1211","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_justin1211| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/justin1211/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kbleejohn_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kbleejohn_en.md new file mode 100644 index 0000000000000..7ffb309453f1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kbleejohn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kbleejohn DistilBertForSequenceClassification from kbleejohn +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kbleejohn +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kbleejohn` is a English model originally trained by kbleejohn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kbleejohn_en_5.2.2_3.0_1703873059655.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kbleejohn_en_5.2.2_3.0_1703873059655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kbleejohn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kbleejohn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kbleejohn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kbleejohn/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenhoffman_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenhoffman_en.md new file mode 100644 index 0000000000000..8881fcedf3827 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenhoffman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kenhoffman DistilBertForSequenceClassification from kenhoffman +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kenhoffman +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kenhoffman` is a English model originally trained by kenhoffman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kenhoffman_en_5.2.2_3.0_1703873027174.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kenhoffman_en_5.2.2_3.0_1703873027174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kenhoffman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kenhoffman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kenhoffman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kenhoffman/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenmichalek_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenmichalek_en.md new file mode 100644 index 0000000000000..ca736a318d855 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kenmichalek_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kenmichalek DistilBertForSequenceClassification from kenmichalek +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kenmichalek +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kenmichalek` is a English model originally trained by kenmichalek. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kenmichalek_en_5.2.2_3.0_1703874087025.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kenmichalek_en_5.2.2_3.0_1703874087025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kenmichalek","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kenmichalek","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kenmichalek| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kenmichalek/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kgashteo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kgashteo_en.md new file mode 100644 index 0000000000000..1f10d92a348aa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kgashteo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kgashteo DistilBertForSequenceClassification from kgashteo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kgashteo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kgashteo` is a English model originally trained by kgashteo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kgashteo_en_5.2.2_3.0_1703862597999.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kgashteo_en_5.2.2_3.0_1703862597999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kgashteo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kgashteo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kgashteo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kgashteo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_khawajaabaid_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_khawajaabaid_en.md new file mode 100644 index 0000000000000..a3d504d374ffd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_khawajaabaid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_khawajaabaid DistilBertForSequenceClassification from KhawajaAbaid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_khawajaabaid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_khawajaabaid` is a English model originally trained by KhawajaAbaid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khawajaabaid_en_5.2.2_3.0_1703864704237.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khawajaabaid_en_5.2.2_3.0_1703864704237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_khawajaabaid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_khawajaabaid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_khawajaabaid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/KhawajaAbaid/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_krawcts_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_krawcts_en.md new file mode 100644 index 0000000000000..71b22082a52cf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_krawcts_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_krawcts DistilBertForSequenceClassification from Krawcts +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_krawcts +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_krawcts` is a English model originally trained by Krawcts. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_krawcts_en_5.2.2_3.0_1703877752036.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_krawcts_en_5.2.2_3.0_1703877752036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_krawcts","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_krawcts","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_krawcts| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Krawcts/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyogoku11_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyogoku11_en.md new file mode 100644 index 0000000000000..339323be6c838 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyogoku11_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kyogoku11 DistilBertForSequenceClassification from kyogoku11 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kyogoku11 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kyogoku11` is a English model originally trained by kyogoku11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyogoku11_en_5.2.2_3.0_1703893563279.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyogoku11_en_5.2.2_3.0_1703893563279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kyogoku11","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kyogoku11","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kyogoku11| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kyogoku11/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyungbok_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyungbok_en.md new file mode 100644 index 0000000000000..1cf2dbe87f38f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_kyungbok_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kyungbok DistilBertForSequenceClassification from Kyungbok +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kyungbok +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kyungbok` is a English model originally trained by Kyungbok. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyungbok_en_5.2.2_3.0_1703889821760.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kyungbok_en_5.2.2_3.0_1703889821760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kyungbok","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kyungbok","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kyungbok| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kyungbok/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lboehm_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lboehm_en.md new file mode 100644 index 0000000000000..a9a0473a734b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lboehm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lboehm DistilBertForSequenceClassification from lboehm +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lboehm +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lboehm` is a English model originally trained by lboehm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lboehm_en_5.2.2_3.0_1703875754310.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lboehm_en_5.2.2_3.0_1703875754310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lboehm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lboehm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lboehm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lboehm/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_leedheo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_leedheo_en.md new file mode 100644 index 0000000000000..a5326e3144dcd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_leedheo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_leedheo DistilBertForSequenceClassification from leedheo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_leedheo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leedheo` is a English model originally trained by leedheo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leedheo_en_5.2.2_3.0_1703874895807.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leedheo_en_5.2.2_3.0_1703874895807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leedheo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leedheo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_leedheo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leedheo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lightwsrld_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lightwsrld_en.md new file mode 100644 index 0000000000000..6606250e2be33 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lightwsrld_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lightwsrld DistilBertForSequenceClassification from lightwsrld +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lightwsrld +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lightwsrld` is a English model originally trained by lightwsrld. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lightwsrld_en_5.2.2_3.0_1703890779806.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lightwsrld_en_5.2.2_3.0_1703890779806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lightwsrld","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lightwsrld","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lightwsrld| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lightwsrld/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ljhee_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ljhee_en.md new file mode 100644 index 0000000000000..c129065ab48a2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ljhee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ljhee DistilBertForSequenceClassification from Ljhee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ljhee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ljhee` is a English model originally trained by Ljhee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ljhee_en_5.2.2_3.0_1703879850936.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ljhee_en_5.2.2_3.0_1703879850936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ljhee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ljhee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ljhee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ljhee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lkk688_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lkk688_en.md new file mode 100644 index 0000000000000..7a656e00462c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_lkk688_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lkk688 DistilBertForSequenceClassification from lkk688 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lkk688 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lkk688` is a English model originally trained by lkk688. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lkk688_en_5.2.2_3.0_1703863381791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lkk688_en_5.2.2_3.0_1703863381791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lkk688","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lkk688","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lkk688| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lkk688/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_longmt_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_longmt_en.md new file mode 100644 index 0000000000000..0e08aefe85bb6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_longmt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_longmt DistilBertForSequenceClassification from longmt +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_longmt +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_longmt` is a English model originally trained by longmt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_longmt_en_5.2.2_3.0_1703865466630.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_longmt_en_5.2.2_3.0_1703865466630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_longmt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_longmt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_longmt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/longmt/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_marii_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_marii_en.md new file mode 100644 index 0000000000000..b462163765a3b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_marii_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_marii DistilBertForSequenceClassification from marii +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_marii +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_marii` is a English model originally trained by marii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_marii_en_5.2.2_3.0_1703866099065.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_marii_en_5.2.2_3.0_1703866099065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_marii","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_marii","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_marii| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marii/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_markcberman_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_markcberman_en.md new file mode 100644 index 0000000000000..2f4ebd37bfd85 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_markcberman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_markcberman DistilBertForSequenceClassification from markcberman +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_markcberman +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_markcberman` is a English model originally trained by markcberman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_markcberman_en_5.2.2_3.0_1703863742822.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_markcberman_en_5.2.2_3.0_1703863742822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_markcberman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_markcberman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_markcberman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/markcberman/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_matheusrdgsf_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_matheusrdgsf_en.md new file mode 100644 index 0000000000000..b8460119594a2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_matheusrdgsf_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_matheusrdgsf DistilBertForSequenceClassification from matheusrdgsf +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_matheusrdgsf +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_matheusrdgsf` is a English model originally trained by matheusrdgsf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matheusrdgsf_en_5.2.2_3.0_1703873912631.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matheusrdgsf_en_5.2.2_3.0_1703873912631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_matheusrdgsf","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_matheusrdgsf","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_matheusrdgsf| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/matheusrdgsf/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_maverlex_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_maverlex_en.md new file mode 100644 index 0000000000000..5e10cdc9d67d6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_maverlex_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_maverlex DistilBertForSequenceClassification from maverlex +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_maverlex +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maverlex` is a English model originally trained by maverlex. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maverlex_en_5.2.2_3.0_1703891128055.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maverlex_en_5.2.2_3.0_1703891128055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maverlex","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maverlex","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_maverlex| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/maverlex/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mayur_f_c_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mayur_f_c_en.md new file mode 100644 index 0000000000000..34077d8591c74 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mayur_f_c_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mayur_f_c DistilBertForSequenceClassification from Mayur-F-C +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mayur_f_c +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mayur_f_c` is a English model originally trained by Mayur-F-C. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mayur_f_c_en_5.2.2_3.0_1703871721602.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mayur_f_c_en_5.2.2_3.0_1703871721602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mayur_f_c","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mayur_f_c","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mayur_f_c| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mayur-F-C/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mikebern_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mikebern_en.md new file mode 100644 index 0000000000000..bb0f0ef058819 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mikebern_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mikebern DistilBertForSequenceClassification from mikebern +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mikebern +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mikebern` is a English model originally trained by mikebern. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mikebern_en_5.2.2_3.0_1703882441694.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mikebern_en_5.2.2_3.0_1703882441694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mikebern","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mikebern","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mikebern| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mikebern/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mlninja_dev_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mlninja_dev_en.md new file mode 100644 index 0000000000000..7f7552a2ffc15 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mlninja_dev_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mlninja_dev DistilBertForSequenceClassification from mlninja-dev +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mlninja_dev +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mlninja_dev` is a English model originally trained by mlninja-dev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mlninja_dev_en_5.2.2_3.0_1703871751191.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mlninja_dev_en_5.2.2_3.0_1703871751191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mlninja_dev","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mlninja_dev","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mlninja_dev| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mlninja-dev/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mmenendezg_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mmenendezg_en.md new file mode 100644 index 0000000000000..47f0813b13df7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mmenendezg_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mmenendezg DistilBertForSequenceClassification from mmenendezg +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mmenendezg +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mmenendezg` is a English model originally trained by mmenendezg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mmenendezg_en_5.2.2_3.0_1703868597629.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mmenendezg_en_5.2.2_3.0_1703868597629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mmenendezg","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mmenendezg","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mmenendezg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mmenendezg/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mue76_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mue76_en.md new file mode 100644 index 0000000000000..e97da0c322546 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_mue76_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mue76 DistilBertForSequenceClassification from mue76 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mue76 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mue76` is a English model originally trained by mue76. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mue76_en_5.2.2_3.0_1703870352407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mue76_en_5.2.2_3.0_1703870352407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mue76","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mue76","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mue76| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mue76/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ndtest_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ndtest_en.md new file mode 100644 index 0000000000000..16124b075ecb0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ndtest_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ndtest DistilBertForSequenceClassification from ndtest +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ndtest +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ndtest` is a English model originally trained by ndtest. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ndtest_en_5.2.2_3.0_1703877251263.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ndtest_en_5.2.2_3.0_1703877251263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ndtest","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ndtest","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ndtest| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ndtest/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickrobinson_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickrobinson_en.md new file mode 100644 index 0000000000000..08c6a113b0b9f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickrobinson_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nickrobinson DistilBertForSequenceClassification from nickrobinson +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nickrobinson +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nickrobinson` is a English model originally trained by nickrobinson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickrobinson_en_5.2.2_3.0_1703867069132.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickrobinson_en_5.2.2_3.0_1703867069132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nickrobinson","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nickrobinson","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nickrobinson| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nickrobinson/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickzizos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickzizos_en.md new file mode 100644 index 0000000000000..66eede4dd1e5f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nickzizos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nickzizos DistilBertForSequenceClassification from nickzizos +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nickzizos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nickzizos` is a English model originally trained by nickzizos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickzizos_en_5.2.2_3.0_1703892967591.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickzizos_en_5.2.2_3.0_1703892967591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nickzizos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nickzizos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nickzizos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nickzizos/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nikitakapitan_en.md new file mode 100644 index 0000000000000..6b4c7ab01e49d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nikitakapitan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nikitakapitan DistilBertForSequenceClassification from nikitakapitan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nikitakapitan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nikitakapitan` is a English model originally trained by nikitakapitan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nikitakapitan_en_5.2.2_3.0_1703879714107.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nikitakapitan_en_5.2.2_3.0_1703879714107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nikitakapitan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nikitakapitan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nikitakapitan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nikitakapitan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nishshekh_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nishshekh_en.md new file mode 100644 index 0000000000000..743381e8716ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nishshekh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nishshekh DistilBertForSequenceClassification from nishshekh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nishshekh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nishshekh` is a English model originally trained by nishshekh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nishshekh_en_5.2.2_3.0_1703867287348.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nishshekh_en_5.2.2_3.0_1703867287348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nishshekh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nishshekh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nishshekh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nishshekh/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nnq2508_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nnq2508_en.md new file mode 100644 index 0000000000000..56c80e75b9198 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nnq2508_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nnq2508 DistilBertForSequenceClassification from nnq2508 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nnq2508 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nnq2508` is a English model originally trained by nnq2508. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nnq2508_en_5.2.2_3.0_1703883185863.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nnq2508_en_5.2.2_3.0_1703883185863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nnq2508","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nnq2508","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nnq2508| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nnq2508/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nowasabi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nowasabi_en.md new file mode 100644 index 0000000000000..9bdfe9a1f614a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_nowasabi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nowasabi DistilBertForSequenceClassification from NoWasabi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nowasabi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nowasabi` is a English model originally trained by NoWasabi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nowasabi_en_5.2.2_3.0_1703893565068.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nowasabi_en_5.2.2_3.0_1703893565068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nowasabi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nowasabi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nowasabi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NoWasabi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ntrysii11_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ntrysii11_en.md new file mode 100644 index 0000000000000..3322625a3e444 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ntrysii11_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ntrysii11 DistilBertForSequenceClassification from ntrysii11 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ntrysii11 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ntrysii11` is a English model originally trained by ntrysii11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ntrysii11_en_5.2.2_3.0_1703888291825.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ntrysii11_en_5.2.2_3.0_1703888291825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ntrysii11","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ntrysii11","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ntrysii11| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ntrysii11/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_okmisantos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_okmisantos_en.md new file mode 100644 index 0000000000000..a40766029a1a8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_okmisantos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_okmisantos DistilBertForSequenceClassification from okmiSantos +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_okmisantos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_okmisantos` is a English model originally trained by okmiSantos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okmisantos_en_5.2.2_3.0_1703893683223.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okmisantos_en_5.2.2_3.0_1703893683223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_okmisantos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_okmisantos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_okmisantos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/okmiSantos/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_olpa_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_olpa_en.md new file mode 100644 index 0000000000000..c893fa0d3618f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_olpa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_olpa DistilBertForSequenceClassification from olpa +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_olpa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_olpa` is a English model originally trained by olpa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_olpa_en_5.2.2_3.0_1703862901190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_olpa_en_5.2.2_3.0_1703862901190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_olpa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_olpa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_olpa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/olpa/distilbert-base-uncased-finetuned-emotion-olpa \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_omaremam99_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_omaremam99_en.md new file mode 100644 index 0000000000000..120a63fa97335 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_omaremam99_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_omaremam99 DistilBertForSequenceClassification from OmarEmam99 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_omaremam99 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_omaremam99` is a English model originally trained by OmarEmam99. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omaremam99_en_5.2.2_3.0_1703881464203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omaremam99_en_5.2.2_3.0_1703881464203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_omaremam99","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_omaremam99","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_omaremam99| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/OmarEmam99/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_othrif_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_othrif_en.md new file mode 100644 index 0000000000000..82960dedd42b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_othrif_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_othrif DistilBertForSequenceClassification from othrif +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_othrif +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_othrif` is a English model originally trained by othrif. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_othrif_en_5.2.2_3.0_1703888428029.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_othrif_en_5.2.2_3.0_1703888428029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_othrif","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_othrif","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_othrif| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/othrif/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_photonmz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_photonmz_en.md new file mode 100644 index 0000000000000..926ae9735b33b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_photonmz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_photonmz DistilBertForSequenceClassification from photonmz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_photonmz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_photonmz` is a English model originally trained by photonmz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_photonmz_en_5.2.2_3.0_1703873339824.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_photonmz_en_5.2.2_3.0_1703873339824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_photonmz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_photonmz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_photonmz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/photonmz/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_procyontk_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_procyontk_en.md new file mode 100644 index 0000000000000..aa7aba7a4e878 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_procyontk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_procyontk DistilBertForSequenceClassification from procyontk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_procyontk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_procyontk` is a English model originally trained by procyontk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_procyontk_en_5.2.2_3.0_1703868541832.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_procyontk_en_5.2.2_3.0_1703868541832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_procyontk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_procyontk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_procyontk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/procyontk/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_promotos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_promotos_en.md new file mode 100644 index 0000000000000..9331bccaa4103 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_promotos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_promotos DistilBertForSequenceClassification from Promotos +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_promotos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_promotos` is a English model originally trained by Promotos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_promotos_en_5.2.2_3.0_1703881031760.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_promotos_en_5.2.2_3.0_1703881031760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_promotos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_promotos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_promotos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Promotos/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rainbow_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rainbow_en.md new file mode 100644 index 0000000000000..ddcb3382ef87b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rainbow_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rainbow DistilBertForSequenceClassification from rainbow +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rainbow +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rainbow` is a English model originally trained by rainbow. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rainbow_en_5.2.2_3.0_1703890235923.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rainbow_en_5.2.2_3.0_1703890235923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rainbow","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rainbow","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rainbow| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rainbow/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajendravenkata_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajendravenkata_en.md new file mode 100644 index 0000000000000..1452cad1ed2ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajendravenkata_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rajendravenkata DistilBertForSequenceClassification from rajendravenkata +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rajendravenkata +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rajendravenkata` is a English model originally trained by rajendravenkata. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajendravenkata_en_5.2.2_3.0_1703893286689.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajendravenkata_en_5.2.2_3.0_1703893286689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajendravenkata","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajendravenkata","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rajendravenkata| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rajendravenkata/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajuptvs_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajuptvs_en.md new file mode 100644 index 0000000000000..084e58694c978 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rajuptvs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rajuptvs DistilBertForSequenceClassification from rajuptvs +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rajuptvs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rajuptvs` is a English model originally trained by rajuptvs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajuptvs_en_5.2.2_3.0_1703866116087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajuptvs_en_5.2.2_3.0_1703866116087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajuptvs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajuptvs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rajuptvs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rajuptvs/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rectifier_001001_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rectifier_001001_en.md new file mode 100644 index 0000000000000..7631b2cc21c6a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rectifier_001001_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rectifier_001001 DistilBertForSequenceClassification from rectifier-001001 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rectifier_001001 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rectifier_001001` is a English model originally trained by rectifier-001001. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rectifier_001001_en_5.2.2_3.0_1703884447211.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rectifier_001001_en_5.2.2_3.0_1703884447211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rectifier_001001","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rectifier_001001","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rectifier_001001| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rectifier-001001/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rhinoatcourt_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rhinoatcourt_en.md new file mode 100644 index 0000000000000..2db8e16186f48 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rhinoatcourt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rhinoatcourt DistilBertForSequenceClassification from rhinoatcourt +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rhinoatcourt +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rhinoatcourt` is a English model originally trained by rhinoatcourt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rhinoatcourt_en_5.2.2_3.0_1703889246726.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rhinoatcourt_en_5.2.2_3.0_1703889246726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rhinoatcourt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rhinoatcourt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rhinoatcourt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rhinoatcourt/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_robpitkin_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_robpitkin_en.md new file mode 100644 index 0000000000000..2c1d19492b58e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_robpitkin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_robpitkin DistilBertForSequenceClassification from robpitkin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_robpitkin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_robpitkin` is a English model originally trained by robpitkin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robpitkin_en_5.2.2_3.0_1703890129175.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robpitkin_en_5.2.2_3.0_1703890129175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robpitkin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robpitkin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_robpitkin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/robpitkin/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rosadecsai_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rosadecsai_en.md new file mode 100644 index 0000000000000..c4993170fb425 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_rosadecsai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rosadecsai DistilBertForSequenceClassification from rosadecsai +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rosadecsai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rosadecsai` is a English model originally trained by rosadecsai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosadecsai_en_5.2.2_3.0_1703869348650.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rosadecsai_en_5.2.2_3.0_1703869348650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rosadecsai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rosadecsai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rosadecsai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rosadecsai/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_roshanrai1304_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_roshanrai1304_en.md new file mode 100644 index 0000000000000..2e7d3ee1d3f58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_roshanrai1304_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_roshanrai1304 DistilBertForSequenceClassification from roshanrai1304 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_roshanrai1304 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_roshanrai1304` is a English model originally trained by roshanrai1304. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roshanrai1304_en_5.2.2_3.0_1703885611877.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roshanrai1304_en_5.2.2_3.0_1703885611877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_roshanrai1304","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_roshanrai1304","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_roshanrai1304| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/roshanrai1304/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6_en.md new file mode 100644 index 0000000000000..d15e6f3bccf6b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6 DistilBertForSequenceClassification from Sa6a +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6` is a English model originally trained by Sa6a. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6_en_5.2.2_3.0_1703868904163.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6_en_5.2.2_3.0_1703868904163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_6| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sa6a/distilbert-base-uncased-finetuned-emotion-sa6a-v0.0.6 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sai82_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sai82_en.md new file mode 100644 index 0000000000000..a201b6c120dde --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sai82_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sai82 DistilBertForSequenceClassification from sai82 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sai82 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sai82` is a English model originally trained by sai82. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sai82_en_5.2.2_3.0_1703884622064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sai82_en_5.2.2_3.0_1703884622064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sai82","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sai82","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sai82| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sai82/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_samad_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_samad_en.md new file mode 100644 index 0000000000000..58c2f32ee6605 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_samad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_samad DistilBertForSequenceClassification from Samad +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_samad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_samad` is a English model originally trained by Samad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_samad_en_5.2.2_3.0_1703862553967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_samad_en_5.2.2_3.0_1703862553967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_samad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_samad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_samad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Samad/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sanime_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sanime_en.md new file mode 100644 index 0000000000000..f16ed621d5b1c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sanime_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sanime DistilBertForSequenceClassification from sanime +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sanime +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sanime` is a English model originally trained by sanime. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sanime_en_5.2.2_3.0_1703867175307.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sanime_en_5.2.2_3.0_1703867175307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sanime","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sanime","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sanime| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sanime/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_santoshsawant_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_santoshsawant_en.md new file mode 100644 index 0000000000000..3e6397aa9e29a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_santoshsawant_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_santoshsawant DistilBertForSequenceClassification from santoshsawant +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_santoshsawant +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_santoshsawant` is a English model originally trained by santoshsawant. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_santoshsawant_en_5.2.2_3.0_1703872321847.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_santoshsawant_en_5.2.2_3.0_1703872321847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_santoshsawant","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_santoshsawant","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_santoshsawant| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/santoshsawant/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sarahflan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sarahflan_en.md new file mode 100644 index 0000000000000..c7f1dfb2ed0be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sarahflan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sarahflan DistilBertForSequenceClassification from sarahflan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sarahflan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sarahflan` is a English model originally trained by sarahflan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarahflan_en_5.2.2_3.0_1703872590661.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarahflan_en_5.2.2_3.0_1703872590661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sarahflan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sarahflan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sarahflan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sarahflan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sbooms_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sbooms_en.md new file mode 100644 index 0000000000000..b87d4cde14f00 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sbooms_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sbooms DistilBertForSequenceClassification from sbooms +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sbooms +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sbooms` is a English model originally trained by sbooms. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sbooms_en_5.2.2_3.0_1703871105055.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sbooms_en_5.2.2_3.0_1703871105055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sbooms","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sbooms","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sbooms| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sbooms/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan_en.md new file mode 100644 index 0000000000000..0987471b28cad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan DistilBertForSequenceClassification from sergey-hovhannisyan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan` is a English model originally trained by sergey-hovhannisyan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan_en_5.2.2_3.0_1703877590851.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan_en_5.2.2_3.0_1703877590851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sergey_hovhannisyan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sergey-hovhannisyan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shadow96_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shadow96_en.md new file mode 100644 index 0000000000000..61cfd497bea6e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shadow96_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shadow96 DistilBertForSequenceClassification from shadow96 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shadow96 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shadow96` is a English model originally trained by shadow96. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shadow96_en_5.2.2_3.0_1703882178240.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shadow96_en_5.2.2_3.0_1703882178240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shadow96","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shadow96","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shadow96| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shadow96/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shindj_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shindj_en.md new file mode 100644 index 0000000000000..15e171a714563 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shindj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shindj DistilBertForSequenceClassification from ShinDJ +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shindj +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shindj` is a English model originally trained by ShinDJ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shindj_en_5.2.2_3.0_1703866977275.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shindj_en_5.2.2_3.0_1703866977275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shindj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shindj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shindj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ShinDJ/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shinyaoka_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shinyaoka_en.md new file mode 100644 index 0000000000000..156ea39ad1686 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shinyaoka_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shinyaoka DistilBertForSequenceClassification from shinyaoka +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shinyaoka +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shinyaoka` is a English model originally trained by shinyaoka. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shinyaoka_en_5.2.2_3.0_1703881864614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shinyaoka_en_5.2.2_3.0_1703881864614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shinyaoka","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shinyaoka","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shinyaoka| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shinyaoka/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shivi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shivi_en.md new file mode 100644 index 0000000000000..393c6d8105c9f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shivi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shivi DistilBertForSequenceClassification from shivi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shivi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shivi` is a English model originally trained by shivi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shivi_en_5.2.2_3.0_1703893137511.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shivi_en_5.2.2_3.0_1703893137511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shivi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shivi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shivi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shivi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shuokaipan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shuokaipan_en.md new file mode 100644 index 0000000000000..4fd7723dd2438 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_shuokaipan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shuokaipan DistilBertForSequenceClassification from ShuokaiPan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shuokaipan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shuokaipan` is a English model originally trained by ShuokaiPan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shuokaipan_en_5.2.2_3.0_1703864062855.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shuokaipan_en_5.2.2_3.0_1703864062855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shuokaipan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shuokaipan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shuokaipan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ShuokaiPan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_simon20230701_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_simon20230701_en.md new file mode 100644 index 0000000000000..927ea2a3b3c6b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_simon20230701_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_simon20230701 DistilBertForSequenceClassification from simon20230701 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_simon20230701 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_simon20230701` is a English model originally trained by simon20230701. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_simon20230701_en_5.2.2_3.0_1703880735746.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_simon20230701_en_5.2.2_3.0_1703880735746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_simon20230701","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_simon20230701","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_simon20230701| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/simon20230701/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_someshfengde_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_someshfengde_en.md new file mode 100644 index 0000000000000..04beb8cb7be1b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_someshfengde_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_someshfengde DistilBertForSequenceClassification from Someshfengde +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_someshfengde +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_someshfengde` is a English model originally trained by Someshfengde. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_someshfengde_en_5.2.2_3.0_1703869838375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_someshfengde_en_5.2.2_3.0_1703869838375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_someshfengde","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_someshfengde","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_someshfengde| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Someshfengde/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_soonmo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_soonmo_en.md new file mode 100644 index 0000000000000..d9ad9eb021d8f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_soonmo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_soonmo DistilBertForSequenceClassification from soonmo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_soonmo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_soonmo` is a English model originally trained by soonmo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_soonmo_en_5.2.2_3.0_1703867581578.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_soonmo_en_5.2.2_3.0_1703867581578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_soonmo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_soonmo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_soonmo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/soonmo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ssydyc_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ssydyc_en.md new file mode 100644 index 0000000000000..2005b277141b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_ssydyc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ssydyc DistilBertForSequenceClassification from ssydyc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ssydyc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ssydyc` is a English model originally trained by ssydyc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ssydyc_en_5.2.2_3.0_1703893281536.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ssydyc_en_5.2.2_3.0_1703893281536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ssydyc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ssydyc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ssydyc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ssydyc/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sungwoo1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sungwoo1_en.md new file mode 100644 index 0000000000000..7510f1ab0f640 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_sungwoo1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sungwoo1 DistilBertForSequenceClassification from sungwoo1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sungwoo1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sungwoo1` is a English model originally trained by sungwoo1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sungwoo1_en_5.2.2_3.0_1703872874787.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sungwoo1_en_5.2.2_3.0_1703872874787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sungwoo1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sungwoo1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sungwoo1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sungwoo1/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_t_nishida_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_t_nishida_en.md new file mode 100644 index 0000000000000..bfdd036c1355d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_t_nishida_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_t_nishida DistilBertForSequenceClassification from T-Nishida +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_t_nishida +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_t_nishida` is a English model originally trained by T-Nishida. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_t_nishida_en_5.2.2_3.0_1703864527990.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_t_nishida_en_5.2.2_3.0_1703864527990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_t_nishida","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_t_nishida","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_t_nishida| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/T-Nishida/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_takashiinui_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_takashiinui_en.md new file mode 100644 index 0000000000000..aeb12472131a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_takashiinui_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_takashiinui DistilBertForSequenceClassification from takashiinui +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_takashiinui +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_takashiinui` is a English model originally trained by takashiinui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_takashiinui_en_5.2.2_3.0_1703875762401.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_takashiinui_en_5.2.2_3.0_1703875762401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_takashiinui","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_takashiinui","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_takashiinui| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/takashiinui/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tanphathuynh10_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tanphathuynh10_en.md new file mode 100644 index 0000000000000..ac33dbeb42f18 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tanphathuynh10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tanphathuynh10 DistilBertForSequenceClassification from tanphathuynh10 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tanphathuynh10 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tanphathuynh10` is a English model originally trained by tanphathuynh10. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tanphathuynh10_en_5.2.2_3.0_1703890252860.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tanphathuynh10_en_5.2.2_3.0_1703890252860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tanphathuynh10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tanphathuynh10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tanphathuynh10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tanphathuynh10/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_taurine511_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_taurine511_en.md new file mode 100644 index 0000000000000..6d40acf3db1e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_taurine511_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_taurine511 DistilBertForSequenceClassification from Taurine511 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_taurine511 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_taurine511` is a English model originally trained by Taurine511. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_taurine511_en_5.2.2_3.0_1703872263285.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_taurine511_en_5.2.2_3.0_1703872263285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_taurine511","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_taurine511","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_taurine511| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Taurine511/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_the_neural_networker_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_the_neural_networker_en.md new file mode 100644 index 0000000000000..ae63d7d2f9368 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_the_neural_networker_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_the_neural_networker DistilBertForSequenceClassification from the-neural-networker +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_the_neural_networker +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_the_neural_networker` is a English model originally trained by the-neural-networker. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_the_neural_networker_en_5.2.2_3.0_1703893151334.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_the_neural_networker_en_5.2.2_3.0_1703893151334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_the_neural_networker","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_the_neural_networker","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_the_neural_networker| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/the-neural-networker/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding_en.md new file mode 100644 index 0000000000000..a5daea116acc9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding DistilBertForSequenceClassification from TheLastProgrammerStanding +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding` is a English model originally trained by TheLastProgrammerStanding. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding_en_5.2.2_3.0_1703861695797.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding_en_5.2.2_3.0_1703861695797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_thelastprogrammerstanding| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TheLastProgrammerStanding/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thiagodepaulo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thiagodepaulo_en.md new file mode 100644 index 0000000000000..ef2372a6c3859 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thiagodepaulo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_thiagodepaulo DistilBertForSequenceClassification from thiagodepaulo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_thiagodepaulo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thiagodepaulo` is a English model originally trained by thiagodepaulo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thiagodepaulo_en_5.2.2_3.0_1703866511681.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thiagodepaulo_en_5.2.2_3.0_1703866511681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thiagodepaulo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thiagodepaulo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_thiagodepaulo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thiagodepaulo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thuynt03_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thuynt03_en.md new file mode 100644 index 0000000000000..a6e539f176132 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_thuynt03_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_thuynt03 DistilBertForSequenceClassification from ThuyNT03 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_thuynt03 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thuynt03` is a English model originally trained by ThuyNT03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thuynt03_en_5.2.2_3.0_1703877128528.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thuynt03_en_5.2.2_3.0_1703877128528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thuynt03","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thuynt03","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_thuynt03| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ThuyNT03/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_timmartin_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_timmartin_en.md new file mode 100644 index 0000000000000..1bacdb7097194 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_timmartin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_timmartin DistilBertForSequenceClassification from timmartin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_timmartin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_timmartin` is a English model originally trained by timmartin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_timmartin_en_5.2.2_3.0_1703876040642.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_timmartin_en_5.2.2_3.0_1703876040642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_timmartin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_timmartin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_timmartin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/timmartin/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_todo1111_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_todo1111_en.md new file mode 100644 index 0000000000000..70917cce28605 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_todo1111_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_todo1111 DistilBertForSequenceClassification from todo1111 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_todo1111 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_todo1111` is a English model originally trained by todo1111. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_todo1111_en_5.2.2_3.0_1703875064557.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_todo1111_en_5.2.2_3.0_1703875064557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_todo1111","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_todo1111","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_todo1111| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/todo1111/distilbert-base-uncased_finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tonysu_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tonysu_en.md new file mode 100644 index 0000000000000..d2ac6e152e36b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tonysu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tonysu DistilBertForSequenceClassification from tonysu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tonysu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tonysu` is a English model originally trained by tonysu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tonysu_en_5.2.2_3.0_1703884792540.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tonysu_en_5.2.2_3.0_1703884792540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tonysu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tonysu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tonysu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tonysu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tsutof_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tsutof_en.md new file mode 100644 index 0000000000000..b483ef084f26a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tsutof_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tsutof DistilBertForSequenceClassification from tsutof +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tsutof +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tsutof` is a English model originally trained by tsutof. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tsutof_en_5.2.2_3.0_1703889113935.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tsutof_en_5.2.2_3.0_1703889113935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tsutof","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tsutof","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tsutof| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tsutof/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tzoght_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tzoght_en.md new file mode 100644 index 0000000000000..a9e64c0586e6a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_tzoght_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tzoght DistilBertForSequenceClassification from tzoght +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tzoght +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tzoght` is a English model originally trained by tzoght. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tzoght_en_5.2.2_3.0_1703888163327.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tzoght_en_5.2.2_3.0_1703888163327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tzoght","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tzoght","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tzoght| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tzoght/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_umarsajjad1992_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_umarsajjad1992_en.md new file mode 100644 index 0000000000000..2a67273df14a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_umarsajjad1992_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_umarsajjad1992 DistilBertForSequenceClassification from umarsajjad1992 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_umarsajjad1992 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_umarsajjad1992` is a English model originally trained by umarsajjad1992. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_umarsajjad1992_en_5.2.2_3.0_1703888708122.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_umarsajjad1992_en_5.2.2_3.0_1703888708122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_umarsajjad1992","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_umarsajjad1992","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_umarsajjad1992| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/umarsajjad1992/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_usmanxia_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_usmanxia_en.md new file mode 100644 index 0000000000000..c978982b6622d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_usmanxia_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_usmanxia DistilBertForSequenceClassification from usmanxia +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_usmanxia +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_usmanxia` is a English model originally trained by usmanxia. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_usmanxia_en_5.2.2_3.0_1703894073130.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_usmanxia_en_5.2.2_3.0_1703894073130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_usmanxia","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_usmanxia","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_usmanxia| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/usmanxia/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_utoltech_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_utoltech_en.md new file mode 100644 index 0000000000000..176dab9a64b1f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_utoltech_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_utoltech DistilBertForSequenceClassification from UtolTech +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_utoltech +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_utoltech` is a English model originally trained by UtolTech. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_utoltech_en_5.2.2_3.0_1703876688662.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_utoltech_en_5.2.2_3.0_1703876688662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_utoltech","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_utoltech","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_utoltech| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/UtolTech/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_valtterihalla_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_valtterihalla_en.md new file mode 100644 index 0000000000000..e44c9c366b8d0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_valtterihalla_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_valtterihalla DistilBertForSequenceClassification from valtterihalla +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_valtterihalla +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_valtterihalla` is a English model originally trained by valtterihalla. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_valtterihalla_en_5.2.2_3.0_1703878018994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_valtterihalla_en_5.2.2_3.0_1703878018994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_valtterihalla","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_valtterihalla","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_valtterihalla| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/valtterihalla/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vibharkchauhan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vibharkchauhan_en.md new file mode 100644 index 0000000000000..e62d19011ed12 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vibharkchauhan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_vibharkchauhan DistilBertForSequenceClassification from Vibharkchauhan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_vibharkchauhan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vibharkchauhan` is a English model originally trained by Vibharkchauhan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vibharkchauhan_en_5.2.2_3.0_1703892370620.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vibharkchauhan_en_5.2.2_3.0_1703892370620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vibharkchauhan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vibharkchauhan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_vibharkchauhan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Vibharkchauhan/distilbert-base-uncased-finetuned-emotion_ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vijay_ravichander_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vijay_ravichander_en.md new file mode 100644 index 0000000000000..1b8455fcc52eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vijay_ravichander_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_vijay_ravichander DistilBertForSequenceClassification from vijay-ravichander +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_vijay_ravichander +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vijay_ravichander` is a English model originally trained by vijay-ravichander. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vijay_ravichander_en_5.2.2_3.0_1703886071986.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vijay_ravichander_en_5.2.2_3.0_1703886071986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vijay_ravichander","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vijay_ravichander","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_vijay_ravichander| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vijay-ravichander/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vqb_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vqb_en.md new file mode 100644 index 0000000000000..38ccf46df23ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vqb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_vqb DistilBertForSequenceClassification from vqb +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_vqb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vqb` is a English model originally trained by vqb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vqb_en_5.2.2_3.0_1703889395501.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vqb_en_5.2.2_3.0_1703889395501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vqb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vqb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_vqb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vqb/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vstrom68_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vstrom68_en.md new file mode 100644 index 0000000000000..7143863eaaa3c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_vstrom68_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_vstrom68 DistilBertForSequenceClassification from vstrom68 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_vstrom68 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vstrom68` is a English model originally trained by vstrom68. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vstrom68_en_5.2.2_3.0_1703886503380.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vstrom68_en_5.2.2_3.0_1703886503380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vstrom68","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vstrom68","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_vstrom68| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vstrom68/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waddledee_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waddledee_en.md new file mode 100644 index 0000000000000..3a155b546fbe3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waddledee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_waddledee DistilBertForSequenceClassification from waddledee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_waddledee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_waddledee` is a English model originally trained by waddledee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waddledee_en_5.2.2_3.0_1703888159418.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waddledee_en_5.2.2_3.0_1703888159418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waddledee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waddledee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_waddledee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/waddledee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waelrash1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waelrash1_en.md new file mode 100644 index 0000000000000..e1777751428b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_waelrash1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_waelrash1 DistilBertForSequenceClassification from WaelRash1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_waelrash1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_waelrash1` is a English model originally trained by WaelRash1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waelrash1_en_5.2.2_3.0_1703884616794.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waelrash1_en_5.2.2_3.0_1703884616794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waelrash1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waelrash1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_waelrash1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/WaelRash1/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wangyunyy_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wangyunyy_en.md new file mode 100644 index 0000000000000..25535e68b2f63 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wangyunyy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wangyunyy DistilBertForSequenceClassification from wangyunyy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wangyunyy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wangyunyy` is a English model originally trained by wangyunyy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wangyunyy_en_5.2.2_3.0_1703874663705.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wangyunyy_en_5.2.2_3.0_1703874663705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wangyunyy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wangyunyy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wangyunyy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wangyunyy/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wesamkhallaf_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wesamkhallaf_en.md new file mode 100644 index 0000000000000..21b1f29b48d9c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wesamkhallaf_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wesamkhallaf DistilBertForSequenceClassification from wesamkhallaf +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wesamkhallaf +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wesamkhallaf` is a English model originally trained by wesamkhallaf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wesamkhallaf_en_5.2.2_3.0_1703863516031.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wesamkhallaf_en_5.2.2_3.0_1703863516031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wesamkhallaf","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wesamkhallaf","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wesamkhallaf| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wesamkhallaf/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wtsolid_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wtsolid_en.md new file mode 100644 index 0000000000000..dbe052bd256b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wtsolid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wtsolid DistilBertForSequenceClassification from wtsolid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wtsolid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wtsolid` is a English model originally trained by wtsolid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wtsolid_en_5.2.2_3.0_1703863889803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wtsolid_en_5.2.2_3.0_1703863889803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wtsolid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wtsolid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wtsolid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wtsolid/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx_en.md new file mode 100644 index 0000000000000..760d1ccd6e2d3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx DistilBertForSequenceClassification from Wxxxxxxxxxxx +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx` is a English model originally trained by Wxxxxxxxxxxx. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx_en_5.2.2_3.0_1703880890367.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx_en_5.2.2_3.0_1703880890367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wxxxxxxxxxxx| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Wxxxxxxxxxxx/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yasutake_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yasutake_en.md new file mode 100644 index 0000000000000..0290a9557e3da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yasutake_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yasutake DistilBertForSequenceClassification from yasutake +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yasutake +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yasutake` is a English model originally trained by yasutake. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yasutake_en_5.2.2_3.0_1703891354717.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yasutake_en_5.2.2_3.0_1703891354717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yasutake","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yasutake","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yasutake| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yasutake/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yide_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yide_en.md new file mode 100644 index 0000000000000..ef8d04bb6c30d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yide_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yide DistilBertForSequenceClassification from yide +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yide +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yide` is a English model originally trained by yide. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yide_en_5.2.2_3.0_1703879712811.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yide_en_5.2.2_3.0_1703879712811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yide","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yide","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yide| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yide/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yonigo_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yonigo_en.md new file mode 100644 index 0000000000000..45599d44d1f88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yonigo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yonigo DistilBertForSequenceClassification from yonigo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yonigo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yonigo` is a English model originally trained by yonigo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yonigo_en_5.2.2_3.0_1703893289087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yonigo_en_5.2.2_3.0_1703893289087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yonigo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yonigo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yonigo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yonigo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youngbeauty_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youngbeauty_en.md new file mode 100644 index 0000000000000..b9636ff125131 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youngbeauty_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_youngbeauty DistilBertForSequenceClassification from YoungBeauty +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_youngbeauty +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_youngbeauty` is a English model originally trained by YoungBeauty. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_youngbeauty_en_5.2.2_3.0_1703882499159.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_youngbeauty_en_5.2.2_3.0_1703882499159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_youngbeauty","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_youngbeauty","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_youngbeauty| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/YoungBeauty/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youssefbennani_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youssefbennani_en.md new file mode 100644 index 0000000000000..80879b57897ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_youssefbennani_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_youssefbennani DistilBertForSequenceClassification from youssefbennani +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_youssefbennani +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_youssefbennani` is a English model originally trained by youssefbennani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_youssefbennani_en_5.2.2_3.0_1703871764675.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_youssefbennani_en_5.2.2_3.0_1703871764675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_youssefbennani","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_youssefbennani","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_youssefbennani| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/youssefbennani/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yyasumizu_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yyasumizu_en.md new file mode 100644 index 0000000000000..97a3543d264d3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_yyasumizu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yyasumizu DistilBertForSequenceClassification from yyasumizu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yyasumizu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yyasumizu` is a English model originally trained by yyasumizu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yyasumizu_en_5.2.2_3.0_1703865210870.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yyasumizu_en_5.2.2_3.0_1703865210870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yyasumizu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yyasumizu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yyasumizu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yyasumizu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_zhili1990_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_zhili1990_en.md new file mode 100644 index 0000000000000..f0e5ecbebb14f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotion_zhili1990_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_zhili1990 DistilBertForSequenceClassification from zhili1990 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_zhili1990 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zhili1990` is a English model originally trained by zhili1990. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhili1990_en_5.2.2_3.0_1703879868925.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhili1990_en_5.2.2_3.0_1703879868925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhili1990","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhili1990","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_zhili1990| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zhili1990/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_4th_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_4th_en.md new file mode 100644 index 0000000000000..c959801a458f1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_4th_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_4th DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_4th +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_4th` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_4th_en_5.2.2_3.0_1703893734458.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_4th_en_5.2.2_3.0_1703893734458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_4th","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_4th","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_4th| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/distilbert-base-uncased-finetuned-emotions-4th \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_banbiossa_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_banbiossa_en.md new file mode 100644 index 0000000000000..712b170d100ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_banbiossa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_banbiossa DistilBertForSequenceClassification from banbiossa +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_banbiossa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_banbiossa` is a English model originally trained by banbiossa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_banbiossa_en_5.2.2_3.0_1703885725504.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_banbiossa_en_5.2.2_3.0_1703885725504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_banbiossa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_banbiossa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_banbiossa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/banbiossa/distilbert-base-uncased-finetuned-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_dexion_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_dexion_en.md new file mode 100644 index 0000000000000..90605b422c6f7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_dexion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_dexion DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_dexion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_dexion` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_dexion_en_5.2.2_3.0_1703869498630.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_dexion_en_5.2.2_3.0_1703869498630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_dexion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_dexion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_dexion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/distilbert-base-uncased-finetuned-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_jinlee74_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_jinlee74_en.md new file mode 100644 index 0000000000000..9b29ff8cb5e5a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_emotions_jinlee74_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_jinlee74 DistilBertForSequenceClassification from jinlee74 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_jinlee74 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_jinlee74` is a English model originally trained by jinlee74. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jinlee74_en_5.2.2_3.0_1703866719850.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jinlee74_en_5.2.2_3.0_1703866719850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_jinlee74","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_jinlee74","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_jinlee74| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jinlee74/distilbert-base-uncased-finetuned-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_gpt_20230323162443_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_gpt_20230323162443_en.md new file mode 100644 index 0000000000000..76f62f9e02ce0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_gpt_20230323162443_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_gpt_20230323162443 DistilBertForSequenceClassification from jngan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_gpt_20230323162443 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_gpt_20230323162443` is a English model originally trained by jngan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_gpt_20230323162443_en_5.2.2_3.0_1703878858469.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_gpt_20230323162443_en_5.2.2_3.0_1703878858469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_gpt_20230323162443","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_gpt_20230323162443","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_gpt_20230323162443| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jngan/distilbert-base-uncased-finetuned-gpt-20230323162443 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_hateful_meme_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_hateful_meme_en.md new file mode 100644 index 0000000000000..56d098a95b879 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_hateful_meme_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_hateful_meme DistilBertForSequenceClassification from tommilyjones +author: John Snow Labs +name: distilbert_base_uncased_finetuned_hateful_meme +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_hateful_meme` is a English model originally trained by tommilyjones. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_hateful_meme_en_5.2.2_3.0_1703885193396.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_hateful_meme_en_5.2.2_3.0_1703885193396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_hateful_meme","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_hateful_meme","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_hateful_meme| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tommilyjones/distilbert-base-uncased-finetuned-hateful-meme \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_iemocap_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_iemocap_en.md new file mode 100644 index 0000000000000..675225112b9ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_iemocap_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_iemocap DistilBertForSequenceClassification from Zahra99 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_iemocap +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_iemocap` is a English model originally trained by Zahra99. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_iemocap_en_5.2.2_3.0_1703887141221.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_iemocap_en_5.2.2_3.0_1703887141221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_iemocap","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_iemocap","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_iemocap| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zahra99/distilbert-base-uncased-finetuned-iemocap \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_jimmie_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_jimmie_en.md new file mode 100644 index 0000000000000..7d8bee1e3b2ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_jimmie_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_imdb_jimmie DistilBertForSequenceClassification from Jimmie +author: John Snow Labs +name: distilbert_base_uncased_finetuned_imdb_jimmie +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_jimmie` is a English model originally trained by Jimmie. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jimmie_en_5.2.2_3.0_1703871585906.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jimmie_en_5.2.2_3.0_1703871585906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_imdb_jimmie","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_imdb_jimmie","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_imdb_jimmie| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Jimmie/distilbert-base-uncased-finetuned-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_nikitakapitan_en.md new file mode 100644 index 0000000000000..cc065727ad1d3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_imdb_nikitakapitan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_imdb_nikitakapitan DistilBertForSequenceClassification from nikitakapitan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_imdb_nikitakapitan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_nikitakapitan` is a English model originally trained by nikitakapitan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_nikitakapitan_en_5.2.2_3.0_1703875590652.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_nikitakapitan_en_5.2.2_3.0_1703875590652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_imdb_nikitakapitan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_imdb_nikitakapitan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_imdb_nikitakapitan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nikitakapitan/distilbert-base-uncased-finetuned-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_l2_greek_modern_gr_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_l2_greek_modern_gr_en.md new file mode 100644 index 0000000000000..adddf33cf13eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_l2_greek_modern_gr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_l2_greek_modern_gr DistilBertForSequenceClassification from dimboump +author: John Snow Labs +name: distilbert_base_uncased_finetuned_l2_greek_modern_gr +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_l2_greek_modern_gr` is a English model originally trained by dimboump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_l2_greek_modern_gr_en_5.2.2_3.0_1703891974824.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_l2_greek_modern_gr_en_5.2.2_3.0_1703891974824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_l2_greek_modern_gr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_l2_greek_modern_gr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_l2_greek_modern_gr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dimboump/distilbert-base-uncased-finetuned-l2-el_gr \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mediations_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mediations_en.md new file mode 100644 index 0000000000000..d0142de782000 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mediations_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mediations DistilBertForSequenceClassification from EandrewJones +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mediations +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mediations` is a English model originally trained by EandrewJones. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mediations_en_5.2.2_3.0_1703884090945.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mediations_en_5.2.2_3.0_1703884090945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mediations","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mediations","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mediations| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/EandrewJones/distilbert-base-uncased-finetuned-mediations \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mnli_youmay_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mnli_youmay_en.md new file mode 100644 index 0000000000000..393d6fb2b4b92 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mnli_youmay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mnli_youmay DistilBertForSequenceClassification from youmay +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mnli_youmay +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mnli_youmay` is a English model originally trained by youmay. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_youmay_en_5.2.2_3.0_1703876664367.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_youmay_en_5.2.2_3.0_1703876664367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mnli_youmay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mnli_youmay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mnli_youmay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/youmay/distilbert-base-uncased-finetuned-mnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mrpc_strnlz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mrpc_strnlz_en.md new file mode 100644 index 0000000000000..4ea7341774e42 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mrpc_strnlz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mrpc_strnlz DistilBertForSequenceClassification from strnlz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mrpc_strnlz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_strnlz` is a English model originally trained by strnlz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_strnlz_en_5.2.2_3.0_1703890838687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_strnlz_en_5.2.2_3.0_1703890838687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_strnlz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_strnlz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mrpc_strnlz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|303.9 MB| + +## References + +https://huggingface.co/strnlz/distilbert-base-uncased-finetuned-mrpc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_multi_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_multi_classification_en.md new file mode 100644 index 0000000000000..0da1cbf9a6f89 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_multi_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_multi_classification DistilBertForSequenceClassification from anuj55 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_multi_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_multi_classification` is a English model originally trained by anuj55. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_multi_classification_en_5.2.2_3.0_1703871069286.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_multi_classification_en_5.2.2_3.0_1703871069286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_multi_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_multi_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_multi_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anuj55/distilbert-base-uncased-finetuned-Multi_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mytask_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mytask_en.md new file mode 100644 index 0000000000000..7a3dd49792add --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_mytask_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mytask DistilBertForSequenceClassification from ajay-y +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mytask +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mytask` is a English model originally trained by ajay-y. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mytask_en_5.2.2_3.0_1703874756645.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mytask_en_5.2.2_3.0_1703874756645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mytask","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mytask","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mytask| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ajay-y/distilbert-base-uncased-finetuned-mytask \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_patents_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_patents_en.md new file mode 100644 index 0000000000000..ebd5ef2437aec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_patents_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_patents DistilBertForSequenceClassification from Belva +author: John Snow Labs +name: distilbert_base_uncased_finetuned_patents +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_patents` is a English model originally trained by Belva. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_patents_en_5.2.2_3.0_1703867353892.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_patents_en_5.2.2_3.0_1703867353892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_patents","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_patents","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_patents| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Belva/distilbert-base-uncased-finetuned-patents \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_pn_lyzylyzy_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_pn_lyzylyzy_en.md new file mode 100644 index 0000000000000..2045b65930837 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_pn_lyzylyzy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_pn_lyzylyzy DistilBertForSequenceClassification from lyzylyzy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_pn_lyzylyzy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pn_lyzylyzy` is a English model originally trained by lyzylyzy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pn_lyzylyzy_en_5.2.2_3.0_1703894343272.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pn_lyzylyzy_en_5.2.2_3.0_1703894343272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_pn_lyzylyzy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_pn_lyzylyzy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_pn_lyzylyzy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lyzylyzy/distilbert-base-uncased-finetuned-PN \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_prueba_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_prueba_en.md new file mode 100644 index 0000000000000..27d9fbec0da1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_prueba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_prueba DistilBertForSequenceClassification from elmerpsarabia +author: John Snow Labs +name: distilbert_base_uncased_finetuned_prueba +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_prueba` is a English model originally trained by elmerpsarabia. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_prueba_en_5.2.2_3.0_1703875426524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_prueba_en_5.2.2_3.0_1703875426524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_prueba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_prueba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_prueba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/elmerpsarabia/distilbert-base-uncased-finetuned-prueba \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_qnli_negfir_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_qnli_negfir_en.md new file mode 100644 index 0000000000000..7600f5140e760 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_qnli_negfir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_qnli_negfir DistilBertForSequenceClassification from negfir +author: John Snow Labs +name: distilbert_base_uncased_finetuned_qnli_negfir +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qnli_negfir` is a English model originally trained by negfir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_negfir_en_5.2.2_3.0_1703886539456.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_negfir_en_5.2.2_3.0_1703886539456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_qnli_negfir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_qnli_negfir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_qnli_negfir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|196.4 MB| + +## References + +https://huggingface.co/negfir/distilbert-base-uncased-finetuned-qnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_rte_strnlz_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_rte_strnlz_en.md new file mode 100644 index 0000000000000..bdfc9cf5a316c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_rte_strnlz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_rte_strnlz DistilBertForSequenceClassification from strnlz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_rte_strnlz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_rte_strnlz` is a English model originally trained by strnlz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_strnlz_en_5.2.2_3.0_1703885299573.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_strnlz_en_5.2.2_3.0_1703885299573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_rte_strnlz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_rte_strnlz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_rte_strnlz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|144.8 MB| + +## References + +https://huggingface.co/strnlz/distilbert-base-uncased-finetuned-rte \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_ryantaw_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_ryantaw_en.md new file mode 100644 index 0000000000000..db84021287c3a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_ryantaw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_ryantaw DistilBertForSequenceClassification from ryantaw +author: John Snow Labs +name: distilbert_base_uncased_finetuned_ryantaw +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ryantaw` is a English model originally trained by ryantaw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ryantaw_en_5.2.2_3.0_1703873599404.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ryantaw_en_5.2.2_3.0_1703873599404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_ryantaw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_ryantaw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_ryantaw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ryantaw/distilbert-base-uncased-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sentiment_calcifer2023_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sentiment_calcifer2023_en.md new file mode 100644 index 0000000000000..a032c120ad9c4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sentiment_calcifer2023_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sentiment_calcifer2023 DistilBertForSequenceClassification from calcifer2023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sentiment_calcifer2023 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sentiment_calcifer2023` is a English model originally trained by calcifer2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_calcifer2023_en_5.2.2_3.0_1703861129255.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_calcifer2023_en_5.2.2_3.0_1703861129255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sentiment_calcifer2023","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sentiment_calcifer2023","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sentiment_calcifer2023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/calcifer2023/distilbert-base-uncased-finetuned-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_hablo_da_coder_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_hablo_da_coder_en.md new file mode 100644 index 0000000000000..f8b9570860384 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_hablo_da_coder_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_solidarity_hablo_da_coder DistilBertForSequenceClassification from Hablo-da-Coder +author: John Snow Labs +name: distilbert_base_uncased_finetuned_solidarity_hablo_da_coder +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_solidarity_hablo_da_coder` is a English model originally trained by Hablo-da-Coder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_hablo_da_coder_en_5.2.2_3.0_1703872705403.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_hablo_da_coder_en_5.2.2_3.0_1703872705403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_hablo_da_coder","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_hablo_da_coder","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_solidarity_hablo_da_coder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hablo-da-Coder/distilbert-base-uncased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_lewalker02_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_lewalker02_en.md new file mode 100644 index 0000000000000..14d4180fc7ad7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_lewalker02_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_solidarity_lewalker02 DistilBertForSequenceClassification from lewalker02 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_solidarity_lewalker02 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_solidarity_lewalker02` is a English model originally trained by lewalker02. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_lewalker02_en_5.2.2_3.0_1703861441620.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_lewalker02_en_5.2.2_3.0_1703861441620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_lewalker02","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_lewalker02","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_solidarity_lewalker02| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lewalker02/distilbert-base-uncased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mckinneyannam_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mckinneyannam_en.md new file mode 100644 index 0000000000000..1c655c5bcda3e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mckinneyannam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_solidarity_mckinneyannam DistilBertForSequenceClassification from mckinneyannam +author: John Snow Labs +name: distilbert_base_uncased_finetuned_solidarity_mckinneyannam +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_solidarity_mckinneyannam` is a English model originally trained by mckinneyannam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_mckinneyannam_en_5.2.2_3.0_1703864239651.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_mckinneyannam_en_5.2.2_3.0_1703864239651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_mckinneyannam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_mckinneyannam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_solidarity_mckinneyannam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mckinneyannam/distilbert-base-uncased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mfkarapanos_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mfkarapanos_en.md new file mode 100644 index 0000000000000..2d684b2fc6404 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_mfkarapanos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_solidarity_mfkarapanos DistilBertForSequenceClassification from mfkarapanos +author: John Snow Labs +name: distilbert_base_uncased_finetuned_solidarity_mfkarapanos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_solidarity_mfkarapanos` is a English model originally trained by mfkarapanos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_mfkarapanos_en_5.2.2_3.0_1703886932460.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_mfkarapanos_en_5.2.2_3.0_1703886932460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_mfkarapanos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_mfkarapanos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_solidarity_mfkarapanos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mfkarapanos/distilbert-base-uncased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_nikhilrao_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_nikhilrao_en.md new file mode 100644 index 0000000000000..34188c42ac2a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_solidarity_nikhilrao_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_solidarity_nikhilrao DistilBertForSequenceClassification from nikhilrao +author: John Snow Labs +name: distilbert_base_uncased_finetuned_solidarity_nikhilrao +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_solidarity_nikhilrao` is a English model originally trained by nikhilrao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_nikhilrao_en_5.2.2_3.0_1703882761403.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_solidarity_nikhilrao_en_5.2.2_3.0_1703882761403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_nikhilrao","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_solidarity_nikhilrao","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_solidarity_nikhilrao| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nikhilrao/distilbert-base-uncased-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_pranav4205_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_pranav4205_en.md new file mode 100644 index 0000000000000..0146b21c12d52 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_pranav4205_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst2_pranav4205 DistilBertForSequenceClassification from pranav4205 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst2_pranav4205 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_pranav4205` is a English model originally trained by pranav4205. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_pranav4205_en_5.2.2_3.0_1703872541620.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_pranav4205_en_5.2.2_3.0_1703872541620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_pranav4205","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_pranav4205","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst2_pranav4205| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pranav4205/distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ruborobot_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ruborobot_en.md new file mode 100644 index 0000000000000..1920fe8daa260 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ruborobot_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst2_ruborobot DistilBertForSequenceClassification from Ruborobot +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst2_ruborobot +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_ruborobot` is a English model originally trained by Ruborobot. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ruborobot_en_5.2.2_3.0_1703864703480.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ruborobot_en_5.2.2_3.0_1703864703480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_ruborobot","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_ruborobot","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst2_ruborobot| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ruborobot/distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_somosuyi_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_somosuyi_en.md new file mode 100644 index 0000000000000..afc6fed91a12f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_somosuyi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst2_somosuyi DistilBertForSequenceClassification from somosuyi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst2_somosuyi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_somosuyi` is a English model originally trained by somosuyi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_somosuyi_en_5.2.2_3.0_1703874916203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_somosuyi_en_5.2.2_3.0_1703874916203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_somosuyi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_somosuyi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst2_somosuyi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/somosuyi/distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ynnnn_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ynnnn_en.md new file mode 100644 index 0000000000000..61c6775bf08cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_ynnnn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst2_ynnnn DistilBertForSequenceClassification from YNnnn +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst2_ynnnn +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_ynnnn` is a English model originally trained by YNnnn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ynnnn_en_5.2.2_3.0_1703892968972.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ynnnn_en_5.2.2_3.0_1703892968972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_ynnnn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_ynnnn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst2_ynnnn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/YNnnn/distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_zaid_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_zaid_en.md new file mode 100644 index 0000000000000..a5640099fbce3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst2_zaid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst2_zaid DistilBertForSequenceClassification from Zaid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst2_zaid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_zaid` is a English model originally trained by Zaid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_zaid_en_5.2.2_3.0_1703875619358.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_zaid_en_5.2.2_3.0_1703875619358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_zaid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst2_zaid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst2_zaid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zaid/distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification_en.md new file mode 100644 index 0000000000000..82352f0852abb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification DistilBertForSequenceClassification from anuj55 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification` is a English model originally trained by anuj55. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification_en_5.2.2_3.0_1703888932940.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification_en_5.2.2_3.0_1703888932940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_multi_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anuj55/distilbert-base-uncased-finetuned-sst-2-english-finetuned-Multi_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification_en.md new file mode 100644 index 0000000000000..2792a39f596a2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification DistilBertForSequenceClassification from nillo36 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification` is a English model originally trained by nillo36. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification_en_5.2.2_3.0_1703882613584.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification_en_5.2.2_3.0_1703882613584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_subreddit_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.0 MB| + +## References + +https://huggingface.co/nillo36/distilbert-base-uncased-finetuned-sst-2-english-finetuned-subreddit_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_multi_label_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_multi_label_en.md new file mode 100644 index 0000000000000..f35d461991451 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_sst_2_english_multi_label_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst_2_english_multi_label DistilBertForSequenceClassification from Zamachi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst_2_english_multi_label +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_multi_label` is a English model originally trained by Zamachi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_multi_label_en_5.2.2_3.0_1703862303914.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_multi_label_en_5.2.2_3.0_1703862303914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_multi_label","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_multi_label","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_multi_label| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zamachi/distilbert-base-uncased-finetuned-sst-2-english-multi_label \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_stsb_eugen_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_stsb_eugen_en.md new file mode 100644 index 0000000000000..e28b55ca568c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_stsb_eugen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_stsb_eugen DistilBertForSequenceClassification from Eugen +author: John Snow Labs +name: distilbert_base_uncased_finetuned_stsb_eugen +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stsb_eugen` is a English model originally trained by Eugen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_eugen_en_5.2.2_3.0_1703872618852.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_eugen_en_5.2.2_3.0_1703872618852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_eugen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_eugen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_stsb_eugen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eugen/distilbert-base-uncased-finetuned-stsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_tass_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_tass_en.md new file mode 100644 index 0000000000000..1451be5c3589e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_tass_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_tass DistilBertForSequenceClassification from helenpy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_tass +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tass` is a English model originally trained by helenpy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tass_en_5.2.2_3.0_1703889707955.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tass_en_5.2.2_3.0_1703889707955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tass","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tass","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_tass| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/helenpy/distilbert-base-uncased-finetuned-tass \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_teachermomentsconfusion_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_teachermomentsconfusion_en.md new file mode 100644 index 0000000000000..57762cc106600 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_teachermomentsconfusion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_teachermomentsconfusion DistilBertForSequenceClassification from Ruborobot +author: John Snow Labs +name: distilbert_base_uncased_finetuned_teachermomentsconfusion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_teachermomentsconfusion` is a English model originally trained by Ruborobot. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_teachermomentsconfusion_en_5.2.2_3.0_1703887056045.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_teachermomentsconfusion_en_5.2.2_3.0_1703887056045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_teachermomentsconfusion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_teachermomentsconfusion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_teachermomentsconfusion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Ruborobot/distilbert-base-uncased-finetuned-TeacherMomentsConfusion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_twitter_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_twitter_emotion_en.md new file mode 100644 index 0000000000000..5a6ef326414e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_twitter_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_twitter_emotion DistilBertForSequenceClassification from srini98 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_twitter_emotion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_twitter_emotion` is a English model originally trained by srini98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_twitter_emotion_en_5.2.2_3.0_1703881389913.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_twitter_emotion_en_5.2.2_3.0_1703881389913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_twitter_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_twitter_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_twitter_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/srini98/distilbert-base-uncased-finetuned-twitter-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_vk_classification_last_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_vk_classification_last_en.md new file mode 100644 index 0000000000000..ba751ff170501 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_finetuned_vk_classification_last_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_vk_classification_last DistilBertForSequenceClassification from bruhwalkk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_vk_classification_last +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_vk_classification_last` is a English model originally trained by bruhwalkk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_vk_classification_last_en_5.2.2_3.0_1703881207472.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_vk_classification_last_en_5.2.2_3.0_1703881207472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_vk_classification_last","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_vk_classification_last","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_vk_classification_last| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.3 MB| + +## References + +https://huggingface.co/bruhwalkk/distilbert-base-uncased-finetuned-vk-classification_last \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fineturned_clinc_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fineturned_clinc_en.md new file mode 100644 index 0000000000000..d18bd9416e182 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_fineturned_clinc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fineturned_clinc DistilBertForSequenceClassification from phnghiapro +author: John Snow Labs +name: distilbert_base_uncased_fineturned_clinc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fineturned_clinc` is a English model originally trained by phnghiapro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fineturned_clinc_en_5.2.2_3.0_1703893892885.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fineturned_clinc_en_5.2.2_3.0_1703893892885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fineturned_clinc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fineturned_clinc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fineturned_clinc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/phnghiapro/distilbert-base-uncased-fineturned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imbd_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imbd_en.md new file mode 100644 index 0000000000000..6bc7dc4a19beb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imbd_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_imbd DistilBertForSequenceClassification from asieh +author: John Snow Labs +name: distilbert_base_uncased_imbd +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imbd` is a English model originally trained by asieh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imbd_en_5.2.2_3.0_1703890560317.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imbd_en_5.2.2_3.0_1703890560317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imbd","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imbd","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_imbd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/asieh/distilbert-base-uncased-imbd \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imdb_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imdb_en.md new file mode 100644 index 0000000000000..c369d301ae5be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_imdb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_imdb DistilBertForSequenceClassification from songyi-ng +author: John Snow Labs +name: distilbert_base_uncased_imdb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb` is a English model originally trained by songyi-ng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_en_5.2.2_3.0_1703865334326.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_en_5.2.2_3.0_1703865334326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imdb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imdb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_imdb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/songyi-ng/distilbert_base_uncased_IMDB \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_mnli_finetuned_mnli_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_mnli_finetuned_mnli_en.md new file mode 100644 index 0000000000000..14c44d66fa6a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_mnli_finetuned_mnli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_mnli_finetuned_mnli DistilBertForSequenceClassification from Yarn +author: John Snow Labs +name: distilbert_base_uncased_mnli_finetuned_mnli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mnli_finetuned_mnli` is a English model originally trained by Yarn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mnli_finetuned_mnli_en_5.2.2_3.0_1703867909747.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mnli_finetuned_mnli_en_5.2.2_3.0_1703867909747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_mnli_finetuned_mnli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_mnli_finetuned_mnli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_mnli_finetuned_mnli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Yarn/distilbert-base-uncased-mnli-finetuned-mnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_3groups_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_3groups_en.md new file mode 100644 index 0000000000000..55f98c9b744da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_3groups_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_question_classifier_3groups DistilBertForSequenceClassification from laurenmit +author: John Snow Labs +name: distilbert_base_uncased_question_classifier_3groups +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_question_classifier_3groups` is a English model originally trained by laurenmit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_question_classifier_3groups_en_5.2.2_3.0_1703871591015.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_question_classifier_3groups_en_5.2.2_3.0_1703871591015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_question_classifier_3groups","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_question_classifier_3groups","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_question_classifier_3groups| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/laurenmit/distilbert-base-uncased-question_classifier-3GROUPS \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_en.md new file mode 100644 index 0000000000000..7a98ed6ae02b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_question_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_question_classifier DistilBertForSequenceClassification from laurenmit +author: John Snow Labs +name: distilbert_base_uncased_question_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_question_classifier` is a English model originally trained by laurenmit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_question_classifier_en_5.2.2_3.0_1703886076924.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_question_classifier_en_5.2.2_3.0_1703886076924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_question_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_question_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_question_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/laurenmit/distilbert-base-uncased-question_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_s2d_saved_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_s2d_saved_en.md new file mode 100644 index 0000000000000..b368c2ace2d06 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_s2d_saved_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_s2d_saved DistilBertForSequenceClassification from thaile +author: John Snow Labs +name: distilbert_base_uncased_s2d_saved +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_s2d_saved` is a English model originally trained by thaile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_s2d_saved_en_5.2.2_3.0_1703870510148.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_s2d_saved_en_5.2.2_3.0_1703870510148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_s2d_saved","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_s2d_saved","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_s2d_saved| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thaile/distilbert-base-uncased-s2d-saved \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_en.md new file mode 100644 index 0000000000000..7d60aa577f25a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_sst2 DistilBertForSequenceClassification from songyi-ng +author: John Snow Labs +name: distilbert_base_uncased_sst2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sst2` is a English model originally trained by songyi-ng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_en_5.2.2_3.0_1703877255761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_en_5.2.2_3.0_1703877255761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_sst2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_sst2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_sst2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/songyi-ng/distilbert_base_uncased_SST2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_sayan01_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_sayan01_en.md new file mode 100644 index 0000000000000..ddd4c9b751839 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_sst2_sayan01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_sst2_sayan01 DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: distilbert_base_uncased_sst2_sayan01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sst2_sayan01` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_sayan01_en_5.2.2_3.0_1703889399209.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_sayan01_en_5.2.2_3.0_1703889399209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_sst2_sayan01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_sst2_sayan01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_sst2_sayan01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|355.5 MB| + +## References + +https://huggingface.co/Sayan01/distilbert-base-uncased_sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_testing_model_jp_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_testing_model_jp_en.md new file mode 100644 index 0000000000000..3363385c04962 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_testing_model_jp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_testing_model_jp DistilBertForSequenceClassification from jplum87 +author: John Snow Labs +name: distilbert_base_uncased_testing_model_jp +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_testing_model_jp` is a English model originally trained by jplum87. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_testing_model_jp_en_5.2.2_3.0_1703865040620.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_testing_model_jp_en_5.2.2_3.0_1703865040620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_testing_model_jp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_testing_model_jp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_testing_model_jp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jplum87/distilbert-base-uncased-testing_model_jp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_disaster_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_disaster_en.md new file mode 100644 index 0000000000000..4b7de86cb6381 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_disaster_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_tweets_disaster DistilBertForSequenceClassification from abulatk1n +author: John Snow Labs +name: distilbert_base_uncased_tweets_disaster +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tweets_disaster` is a English model originally trained by abulatk1n. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweets_disaster_en_5.2.2_3.0_1703863889811.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweets_disaster_en_5.2.2_3.0_1703863889811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_tweets_disaster","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_tweets_disaster","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_tweets_disaster| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/abulatk1n/distilbert-base-uncased-tweets-disaster \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_hate_speech_detection_saved_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_hate_speech_detection_saved_en.md new file mode 100644 index 0000000000000..9610aae5afee0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncased_tweets_hate_speech_detection_saved_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_tweets_hate_speech_detection_saved DistilBertForSequenceClassification from thaile +author: John Snow Labs +name: distilbert_base_uncased_tweets_hate_speech_detection_saved +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tweets_hate_speech_detection_saved` is a English model originally trained by thaile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweets_hate_speech_detection_saved_en_5.2.2_3.0_1703891144627.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweets_hate_speech_detection_saved_en_5.2.2_3.0_1703891144627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_tweets_hate_speech_detection_saved","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_tweets_hate_speech_detection_saved","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_tweets_hate_speech_detection_saved| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thaile/distilbert-base-uncased-tweets_hate_speech_detection-saved \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncasedclassification_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncasedclassification_en.md new file mode 100644 index 0000000000000..5bf76abd05173 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_base_uncasedclassification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncasedclassification DistilBertForSequenceClassification from srini98 +author: John Snow Labs +name: distilbert_base_uncasedclassification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncasedclassification` is a English model originally trained by srini98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedclassification_en_5.2.2_3.0_1703863069413.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedclassification_en_5.2.2_3.0_1703863069413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncasedclassification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncasedclassification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncasedclassification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/srini98/distilbert-base-uncasedclassification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_categorisation_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_categorisation_en.md new file mode 100644 index 0000000000000..af8a5b5655749 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_categorisation_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_categorisation DistilBertForSequenceClassification from priyabrat +author: John Snow Labs +name: distilbert_categorisation +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_categorisation` is a English model originally trained by priyabrat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_categorisation_en_5.2.2_3.0_1703879555325.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_categorisation_en_5.2.2_3.0_1703879555325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_categorisation","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_categorisation","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_categorisation| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/priyabrat/Distilbert_categorisation \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_classification_10ksamples_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_classification_10ksamples_en.md new file mode 100644 index 0000000000000..b43bb39e0de62 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_classification_10ksamples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_classification_10ksamples DistilBertForSequenceClassification from jayavibhav +author: John Snow Labs +name: distilbert_classification_10ksamples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_classification_10ksamples` is a English model originally trained by jayavibhav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_classification_10ksamples_en_5.2.2_3.0_1703868407937.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_classification_10ksamples_en_5.2.2_3.0_1703868407937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_classification_10ksamples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_classification_10ksamples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_classification_10ksamples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jayavibhav/distilbert-classification-10ksamples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_cleaned_dataverse_2023_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_cleaned_dataverse_2023_en.md new file mode 100644 index 0000000000000..b25d2b0dfbdc0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_cleaned_dataverse_2023_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_cleaned_dataverse_2023 DistilBertForSequenceClassification from dipudl +author: John Snow Labs +name: distilbert_cleaned_dataverse_2023 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cleaned_dataverse_2023` is a English model originally trained by dipudl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cleaned_dataverse_2023_en_5.2.2_3.0_1703876326030.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cleaned_dataverse_2023_en_5.2.2_3.0_1703876326030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_cleaned_dataverse_2023","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_cleaned_dataverse_2023","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_cleaned_dataverse_2023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dipudl/distilbert-cleaned-dataverse-2023 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_coherent_v5_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_coherent_v5_en.md new file mode 100644 index 0000000000000..b70a2e98ab471 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_coherent_v5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_coherent_v5 DistilBertForSequenceClassification from clam004 +author: John Snow Labs +name: distilbert_coherent_v5 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_coherent_v5` is a English model originally trained by clam004. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_coherent_v5_en_5.2.2_3.0_1703863217680.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_coherent_v5_en_5.2.2_3.0_1703863217680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_coherent_v5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_coherent_v5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_coherent_v5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/clam004/distilbert-coherent-v5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_covid_tweets_sentiment_analysis_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_covid_tweets_sentiment_analysis_model_en.md new file mode 100644 index 0000000000000..374b98d8ccb48 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_covid_tweets_sentiment_analysis_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_covid_tweets_sentiment_analysis_model DistilBertForSequenceClassification from Eva-Gaga +author: John Snow Labs +name: distilbert_covid_tweets_sentiment_analysis_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_covid_tweets_sentiment_analysis_model` is a English model originally trained by Eva-Gaga. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_covid_tweets_sentiment_analysis_model_en_5.2.2_3.0_1703894064552.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_covid_tweets_sentiment_analysis_model_en_5.2.2_3.0_1703894064552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_covid_tweets_sentiment_analysis_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_covid_tweets_sentiment_analysis_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_covid_tweets_sentiment_analysis_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Eva-Gaga/distilbert_covid_tweets_sentiment_analysis_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_dappradar_multilabel_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_dappradar_multilabel_en.md new file mode 100644 index 0000000000000..b90da8f645f83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_dappradar_multilabel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_dappradar_multilabel DistilBertForSequenceClassification from Mantas +author: John Snow Labs +name: distilbert_dappradar_multilabel +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_dappradar_multilabel` is a English model originally trained by Mantas. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_dappradar_multilabel_en_5.2.2_3.0_1703869859366.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_dappradar_multilabel_en_5.2.2_3.0_1703869859366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_dappradar_multilabel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_dappradar_multilabel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_dappradar_multilabel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mantas/distilbert-dappradar-multilabel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_emotions_asash_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_emotions_asash_en.md new file mode 100644 index 0000000000000..f8c121388d420 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_emotions_asash_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotions_asash DistilBertForSequenceClassification from firexel +author: John Snow Labs +name: distilbert_emotions_asash +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotions_asash` is a English model originally trained by firexel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotions_asash_en_5.2.2_3.0_1703894069664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotions_asash_en_5.2.2_3.0_1703894069664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotions_asash","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotions_asash","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotions_asash| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/firexel/distilbert_emotions_asash \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_config_dropout_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_config_dropout_en.md new file mode 100644 index 0000000000000..a204fea68560a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_config_dropout_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_config_dropout DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_final_config_dropout +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_config_dropout` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_config_dropout_en_5.2.2_3.0_1703867161274.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_config_dropout_en_5.2.2_3.0_1703867161274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_config_dropout","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_config_dropout","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_config_dropout| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert_final_config_dropout \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false_en.md new file mode 100644 index 0000000000000..c697ccfdd9d83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false DistilBertForSequenceClassification from ali2066 +author: John Snow Labs +name: distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false` is a English model originally trained by ali2066. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false_en_5.2.2_3.0_1703869345394.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false_en_5.2.2_3.0_1703869345394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_ctxsentence_train_all_test_null_second_train_set_null_false| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false_en.md new file mode 100644 index 0000000000000..b1e3200557860 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false DistilBertForSequenceClassification from ali2066 +author: John Snow Labs +name: distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false` is a English model originally trained by ali2066. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false_en_5.2.2_3.0_1703862455151.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false_en_5.2.2_3.0_1703862455151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_ctxsentence_train_editorials_test_null_second_train_set_null_false| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_editorials_TEST_NULL_second_train_set_null_False \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md new file mode 100644 index 0000000000000..5c2875a670b81 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false DistilBertForSequenceClassification from ali2066 +author: John Snow Labs +name: distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false` is a English model originally trained by ali2066. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false_en_5.2.2_3.0_1703866960415.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false_en_5.2.2_3.0_1703866960415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_ctxsentence_train_essays_test_null_second_train_set_null_false| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false_en.md new file mode 100644 index 0000000000000..a49e93bcd6df3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false DistilBertForSequenceClassification from ali2066 +author: John Snow Labs +name: distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false` is a English model originally trained by ali2066. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false_en_5.2.2_3.0_1703872284173.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false_en_5.2.2_3.0_1703872284173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_ctxsentence_train_webdiscourse_test_null_second_train_set_null_false| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_webDiscourse_TEST_NULL_second_train_set_null_False \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_tweet_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_tweet_dataset_en.md new file mode 100644 index 0000000000000..330a1c2edc127 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_final_tweet_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_final_tweet_dataset DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_final_tweet_dataset +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_final_tweet_dataset` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_final_tweet_dataset_en_5.2.2_3.0_1703874616264.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_final_tweet_dataset_en_5.2.2_3.0_1703874616264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_tweet_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_final_tweet_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_final_tweet_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert_final_tweet_dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_clinc_abdelmageed_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_clinc_abdelmageed_en.md new file mode 100644 index 0000000000000..76aa966a9d053 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_clinc_abdelmageed_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_clinc_abdelmageed DistilBertForSequenceClassification from abdelmageed +author: John Snow Labs +name: distilbert_finetuned_clinc_abdelmageed +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_clinc_abdelmageed` is a English model originally trained by abdelmageed. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_clinc_abdelmageed_en_5.2.2_3.0_1703869675584.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_clinc_abdelmageed_en_5.2.2_3.0_1703869675584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_clinc_abdelmageed","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_clinc_abdelmageed","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_clinc_abdelmageed| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/abdelmageed/distilbert-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_hackaton_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_hackaton_en.md new file mode 100644 index 0000000000000..f812228690da1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_hackaton_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_hackaton DistilBertForSequenceClassification from stinoco +author: John Snow Labs +name: distilbert_finetuned_hackaton +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_hackaton` is a English model originally trained by stinoco. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_hackaton_en_5.2.2_3.0_1703868410999.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_hackaton_en_5.2.2_3.0_1703868410999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_hackaton","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_hackaton","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_hackaton| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|251.3 MB| + +## References + +https://huggingface.co/stinoco/DistilBert-finetuned-Hackaton \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_model_petornot_improved_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_model_petornot_improved_en.md new file mode 100644 index 0000000000000..89d145acf2573 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_model_petornot_improved_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_model_petornot_improved DistilBertForSequenceClassification from s8sesche +author: John Snow Labs +name: distilbert_finetuned_model_petornot_improved +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_model_petornot_improved` is a English model originally trained by s8sesche. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_petornot_improved_en_5.2.2_3.0_1703892726978.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_petornot_improved_en_5.2.2_3.0_1703892726978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_model_petornot_improved","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_model_petornot_improved","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_model_petornot_improved| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/s8sesche/distilbert_finetuned_model_petOrNot_improved \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_wiki20m_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_wiki20m_en.md new file mode 100644 index 0000000000000..aa7e75e060bbf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_finetuned_wiki20m_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_wiki20m DistilBertForSequenceClassification from janck +author: John Snow Labs +name: distilbert_finetuned_wiki20m +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_wiki20m` is a English model originally trained by janck. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_wiki20m_en_5.2.2_3.0_1703873738566.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_wiki20m_en_5.2.2_3.0_1703873738566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_wiki20m","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_wiki20m","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_wiki20m| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/janck/DistilBERT-finetuned-wiki20m \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_gaydar_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_gaydar_en.md new file mode 100644 index 0000000000000..eb8a3b394cd06 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_gaydar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_gaydar DistilBertForSequenceClassification from helliun +author: John Snow Labs +name: distilbert_gaydar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_gaydar` is a English model originally trained by helliun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_gaydar_en_5.2.2_3.0_1703882298591.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_gaydar_en_5.2.2_3.0_1703882298591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_gaydar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_gaydar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_gaydar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/helliun/distilbert-gaydar \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_hate_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_hate_classifier_en.md new file mode 100644 index 0000000000000..0c26530ce17cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_hate_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_hate_classifier DistilBertForSequenceClassification from deepBiz +author: John Snow Labs +name: distilbert_hate_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hate_classifier` is a English model originally trained by deepBiz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hate_classifier_en_5.2.2_3.0_1703882024194.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hate_classifier_en_5.2.2_3.0_1703882024194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hate_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hate_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_hate_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/deepBiz/distilbert-hate-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_helpdesk_sentence_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_helpdesk_sentence_sentiment_en.md new file mode 100644 index 0000000000000..bc591ce73d78c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_helpdesk_sentence_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_helpdesk_sentence_sentiment DistilBertForSequenceClassification from Venkatesh4342 +author: John Snow Labs +name: distilbert_helpdesk_sentence_sentiment +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_helpdesk_sentence_sentiment` is a English model originally trained by Venkatesh4342. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_helpdesk_sentence_sentiment_en_5.2.2_3.0_1703877303076.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_helpdesk_sentence_sentiment_en_5.2.2_3.0_1703877303076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_helpdesk_sentence_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_helpdesk_sentence_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_helpdesk_sentence_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Venkatesh4342/distilbert-helpdesk-sentence-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_habana_remote_runner_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_habana_remote_runner_en.md new file mode 100644 index 0000000000000..f1f0636af5c12 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_habana_remote_runner_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_habana_remote_runner DistilBertForSequenceClassification from philschmid +author: John Snow Labs +name: distilbert_imdb_habana_remote_runner +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_habana_remote_runner` is a English model originally trained by philschmid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_habana_remote_runner_en_5.2.2_3.0_1703865746407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_habana_remote_runner_en_5.2.2_3.0_1703865746407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_habana_remote_runner","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_habana_remote_runner","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_habana_remote_runner| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/philschmid/distilbert-imdb-habana-remote-runner \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_imoh_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_imoh_en.md new file mode 100644 index 0000000000000..64447762920a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_imoh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_imoh DistilBertForSequenceClassification from imoh +author: John Snow Labs +name: distilbert_imdb_imoh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_imoh` is a English model originally trained by imoh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_imoh_en_5.2.2_3.0_1703876984772.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_imoh_en_5.2.2_3.0_1703876984772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_imoh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_imoh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_imoh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/imoh/distilbert-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_sentiment_classifier_en.md new file mode 100644 index 0000000000000..35128d2b497bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_sentiment_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_sentiment_classifier DistilBertForSequenceClassification from tonystark0 +author: John Snow Labs +name: distilbert_imdb_sentiment_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_sentiment_classifier` is a English model originally trained by tonystark0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_sentiment_classifier_en_5.2.2_3.0_1703876551385.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_sentiment_classifier_en_5.2.2_3.0_1703876551385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_sentiment_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_sentiment_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_sentiment_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tonystark0/distilbert-imdb-sentiment-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_tanquangduong_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_tanquangduong_en.md new file mode 100644 index 0000000000000..0089b9ed76846 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_imdb_tanquangduong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_tanquangduong DistilBertForSequenceClassification from tanquangduong +author: John Snow Labs +name: distilbert_imdb_tanquangduong +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_tanquangduong` is a English model originally trained by tanquangduong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tanquangduong_en_5.2.2_3.0_1703869341224.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tanquangduong_en_5.2.2_3.0_1703869341224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tanquangduong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tanquangduong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_tanquangduong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tanquangduong/distilbert-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_ishate_29k_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_ishate_29k_en.md new file mode 100644 index 0000000000000..2443d365d4b3d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_ishate_29k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_ishate_29k DistilBertForSequenceClassification from bitsanlp +author: John Snow Labs +name: distilbert_ishate_29k +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ishate_29k` is a English model originally trained by bitsanlp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ishate_29k_en_5.2.2_3.0_1703889217304.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ishate_29k_en_5.2.2_3.0_1703889217304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_ishate_29k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_ishate_29k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_ishate_29k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bitsanlp/distilbert-ishate-29k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_noestricto_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_noestricto_en.md new file mode 100644 index 0000000000000..6128b33d1f888 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_noestricto_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_noestricto DistilBertForSequenceClassification from fredymad +author: John Snow Labs +name: distilbert_noestricto +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_noestricto` is a English model originally trained by fredymad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_noestricto_en_5.2.2_3.0_1703871242810.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_noestricto_en_5.2.2_3.0_1703871242810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_noestricto","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_noestricto","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_noestricto| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fredymad/distilbert_noestricto \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_notokenized_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_notokenized_en.md new file mode 100644 index 0000000000000..124595e157444 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_notokenized_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_notokenized DistilBertForSequenceClassification from Erfan2001 +author: John Snow Labs +name: distilbert_notokenized +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_notokenized` is a English model originally trained by Erfan2001. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_notokenized_en_5.2.2_3.0_1703875346952.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_notokenized_en_5.2.2_3.0_1703875346952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_notokenized","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_notokenized","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_notokenized| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Erfan2001/distilbert_NoTokenized \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_num_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_num_model_en.md new file mode 100644 index 0000000000000..fbd5b397ea193 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_num_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_num_model DistilBertForSequenceClassification from eawang +author: John Snow Labs +name: distilbert_num_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_num_model` is a English model originally trained by eawang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_num_model_en_5.2.2_3.0_1703884617191.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_num_model_en_5.2.2_3.0_1703884617191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_num_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_num_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_num_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/eawang/distilbert_num_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_onion_1epoch_3_0_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_onion_1epoch_3_0_en.md new file mode 100644 index 0000000000000..10653b362042d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_onion_1epoch_3_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_onion_1epoch_3_0 DistilBertForSequenceClassification from ScandinavianMrT +author: John Snow Labs +name: distilbert_onion_1epoch_3_0 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_onion_1epoch_3_0` is a English model originally trained by ScandinavianMrT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_onion_1epoch_3_0_en_5.2.2_3.0_1703883790098.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_onion_1epoch_3_0_en_5.2.2_3.0_1703883790098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_onion_1epoch_3_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_onion_1epoch_3_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_onion_1epoch_3_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ScandinavianMrT/distilbert_ONION_1epoch_3.0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_finetuned_en.md new file mode 100644 index 0000000000000..ba94eae572b7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_climber_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_climber_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_climber_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_climber_finetuned_en_5.2.2_3.0_1703886953334.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_climber_finetuned_en_5.2.2_3.0_1703886953334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_climber_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_climber_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_climber_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Climber_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_scratch_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_scratch_en.md new file mode 100644 index 0000000000000..0ef185f50d3ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_climber_scratch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_climber_scratch DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_climber_scratch +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_climber_scratch` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_climber_scratch_en_5.2.2_3.0_1703882121928.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_climber_scratch_en_5.2.2_3.0_1703882121928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_climber_scratch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_climber_scratch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_climber_scratch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Climber_Scratch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_epiphyte_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_epiphyte_finetuned_en.md new file mode 100644 index 0000000000000..89a3a438a971e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_epiphyte_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_epiphyte_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_epiphyte_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_epiphyte_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_epiphyte_finetuned_en_5.2.2_3.0_1703863716811.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_epiphyte_finetuned_en_5.2.2_3.0_1703863716811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_epiphyte_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_epiphyte_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_epiphyte_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Epiphyte_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_dropduplicates_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_dropduplicates_en.md new file mode 100644 index 0000000000000..602dfb1f89eca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_dropduplicates_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_growth_form_finetuned_dropduplicates DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_growth_form_finetuned_dropduplicates +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_growth_form_finetuned_dropduplicates` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_growth_form_finetuned_dropduplicates_en_5.2.2_3.0_1703884943652.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_growth_form_finetuned_dropduplicates_en_5.2.2_3.0_1703884943652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_growth_form_finetuned_dropduplicates","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_growth_form_finetuned_dropduplicates","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_growth_form_finetuned_dropduplicates| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Growth_Form_Finetuned_DropDuplicates \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_en.md new file mode 100644 index 0000000000000..5ce4db10252f2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_growth_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_growth_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_growth_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_growth_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_growth_form_finetuned_en_5.2.2_3.0_1703889533505.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_growth_form_finetuned_en_5.2.2_3.0_1703889533505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_growth_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_growth_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_growth_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Growth_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_life_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_life_form_finetuned_en.md new file mode 100644 index 0000000000000..8820e85468fae --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_life_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_life_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_life_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_life_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_life_form_finetuned_en_5.2.2_3.0_1703869328138.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_life_form_finetuned_en_5.2.2_3.0_1703869328138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_life_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_life_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_life_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Life_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_lifecycle_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_lifecycle_finetuned_en.md new file mode 100644 index 0000000000000..856fe295021f5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_lifecycle_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_lifecycle_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_lifecycle_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_lifecycle_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_lifecycle_finetuned_en_5.2.2_3.0_1703869539491.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_lifecycle_finetuned_en_5.2.2_3.0_1703869539491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_lifecycle_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_lifecycle_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_lifecycle_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Lifecycle_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_climber_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_climber_finetuned_en.md new file mode 100644 index 0000000000000..560eb91e05490 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_climber_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_mgh_climber_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_mgh_climber_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_mgh_climber_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_climber_finetuned_en_5.2.2_3.0_1703868126537.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_climber_finetuned_en_5.2.2_3.0_1703868126537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_climber_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_climber_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_mgh_climber_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_MGH_Climber_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_epiphyte_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_epiphyte_finetuned_en.md new file mode 100644 index 0000000000000..fa9a743c97c70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_epiphyte_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_mgh_epiphyte_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_mgh_epiphyte_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_mgh_epiphyte_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_epiphyte_finetuned_en_5.2.2_3.0_1703885314540.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_epiphyte_finetuned_en_5.2.2_3.0_1703885314540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_epiphyte_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_epiphyte_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_mgh_epiphyte_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_MGH_Epiphyte_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_growth_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_growth_form_finetuned_en.md new file mode 100644 index 0000000000000..330ebbed96cef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_growth_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_mgh_growth_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_mgh_growth_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_mgh_growth_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_growth_form_finetuned_en_5.2.2_3.0_1703878672984.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_growth_form_finetuned_en_5.2.2_3.0_1703878672984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_growth_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_growth_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_mgh_growth_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_MGH_Growth_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_life_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_life_form_finetuned_en.md new file mode 100644 index 0000000000000..42909e670a00d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_life_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_mgh_life_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_mgh_life_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_mgh_life_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_life_form_finetuned_en_5.2.2_3.0_1703860956325.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_life_form_finetuned_en_5.2.2_3.0_1703860956325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_life_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_life_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_mgh_life_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_MGH_Life_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_lifecycle_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_lifecycle_finetuned_en.md new file mode 100644 index 0000000000000..376c2ed9e268a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_powo_mgh_lifecycle_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_mgh_lifecycle_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_mgh_lifecycle_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_mgh_lifecycle_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_lifecycle_finetuned_en_5.2.2_3.0_1703865636686.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_mgh_lifecycle_finetuned_en_5.2.2_3.0_1703865636686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_lifecycle_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_mgh_lifecycle_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_mgh_lifecycle_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_MGH_Lifecycle_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_sentiment_adversarial_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sentiment_adversarial_en.md new file mode 100644 index 0000000000000..44d88f62f02b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sentiment_adversarial_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sentiment_adversarial DistilBertForSequenceClassification from kneis +author: John Snow Labs +name: distilbert_sentiment_adversarial +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_adversarial` is a English model originally trained by kneis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_adversarial_en_5.2.2_3.0_1703863087672.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_adversarial_en_5.2.2_3.0_1703863087672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sentiment_adversarial","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sentiment_adversarial","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sentiment_adversarial| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kneis/distilbert-sentiment-adversarial \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored2e_05_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored2e_05_en.md new file mode 100644 index 0000000000000..c9bbbaf7bc1b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored2e_05_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_smaller_biored2e_05 DistilBertForSequenceClassification from zonghaoyang +author: John Snow Labs +name: distilbert_smaller_biored2e_05 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_smaller_biored2e_05` is a English model originally trained by zonghaoyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_smaller_biored2e_05_en_5.2.2_3.0_1703878986083.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_smaller_biored2e_05_en_5.2.2_3.0_1703878986083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_smaller_biored2e_05","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_smaller_biored2e_05","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_smaller_biored2e_05| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zonghaoyang/DistilBERT-smaller-BioRED2e-05 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored_en.md new file mode 100644 index 0000000000000..51a3f2f8f3cb4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_smaller_biored_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_smaller_biored DistilBertForSequenceClassification from zonghaoyang +author: John Snow Labs +name: distilbert_smaller_biored +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_smaller_biored` is a English model originally trained by zonghaoyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_smaller_biored_en_5.2.2_3.0_1703872188126.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_smaller_biored_en_5.2.2_3.0_1703872188126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_smaller_biored","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_smaller_biored","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_smaller_biored| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zonghaoyang/DistilBERT-smaller-BioRED \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_1_en.md new file mode 100644 index 0000000000000..b87088008d1d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sst2_1 DistilBertForSequenceClassification from neal49 +author: John Snow Labs +name: distilbert_sst2_1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_1` is a English model originally trained by neal49. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_1_en_5.2.2_3.0_1703890324069.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_1_en_5.2.2_3.0_1703890324069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sst2_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/neal49/distilbert-sst2-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_freeze_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_freeze_en.md new file mode 100644 index 0000000000000..3496f9be3f250 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_sst2_freeze_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sst2_freeze DistilBertForSequenceClassification from neal49 +author: John Snow Labs +name: distilbert_sst2_freeze +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_freeze` is a English model originally trained by neal49. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_freeze_en_5.2.2_3.0_1703863732752.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_freeze_en_5.2.2_3.0_1703863732752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_freeze","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_freeze","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sst2_freeze| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/neal49/distilbert-sst2-freeze \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_suicide_content_review_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_suicide_content_review_en.md new file mode 100644 index 0000000000000..3397dd155720f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_suicide_content_review_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_suicide_content_review DistilBertForSequenceClassification from Prashant-karwasra +author: John Snow Labs +name: distilbert_suicide_content_review +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_suicide_content_review` is a English model originally trained by Prashant-karwasra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_suicide_content_review_en_5.2.2_3.0_1703871767469.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_suicide_content_review_en_5.2.2_3.0_1703871767469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_suicide_content_review","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_suicide_content_review","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_suicide_content_review| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Prashant-karwasra/DistilBert-suicide-content-review \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_toxic_classifier_agharib_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_toxic_classifier_agharib_en.md new file mode 100644 index 0000000000000..3a0150cbedc0b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_toxic_classifier_agharib_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_toxic_classifier_agharib DistilBertForSequenceClassification from agharib +author: John Snow Labs +name: distilbert_toxic_classifier_agharib +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxic_classifier_agharib` is a English model originally trained by agharib. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_agharib_en_5.2.2_3.0_1703865021957.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_agharib_en_5.2.2_3.0_1703865021957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_toxic_classifier_agharib","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_toxic_classifier_agharib","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_toxic_classifier_agharib| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/agharib/distilbert-toxic-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_tweet_sentiment_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_tweet_sentiment_finetuned_en.md new file mode 100644 index 0000000000000..9aa64093d3458 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_tweet_sentiment_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_tweet_sentiment_finetuned DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_tweet_sentiment_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tweet_sentiment_finetuned` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tweet_sentiment_finetuned_en_5.2.2_3.0_1703870223057.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tweet_sentiment_finetuned_en_5.2.2_3.0_1703870223057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tweet_sentiment_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tweet_sentiment_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_tweet_sentiment_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert-tweet-sentiment-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_uncased_finetuned_toxic_comments_detection_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_uncased_finetuned_toxic_comments_detection_en.md new file mode 100644 index 0000000000000..ab123f5254746 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_uncased_finetuned_toxic_comments_detection_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_uncased_finetuned_toxic_comments_detection DistilBertForSequenceClassification from tillschwoerer +author: John Snow Labs +name: distilbert_uncased_finetuned_toxic_comments_detection +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_uncased_finetuned_toxic_comments_detection` is a English model originally trained by tillschwoerer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_toxic_comments_detection_en_5.2.2_3.0_1703883455161.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_toxic_comments_detection_en_5.2.2_3.0_1703883455161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_uncased_finetuned_toxic_comments_detection","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_uncased_finetuned_toxic_comments_detection","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_uncased_finetuned_toxic_comments_detection| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tillschwoerer/distilbert-uncased-finetuned-toxic-comments-detection \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_1e_3_lr_5e_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_1e_3_lr_5e_3_en.md new file mode 100644 index 0000000000000..4605c921d09de --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_1e_3_lr_5e_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_weight_decay_1e_3_lr_5e_3 DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_weight_decay_1e_3_lr_5e_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_weight_decay_1e_3_lr_5e_3` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_1e_3_lr_5e_3_en_5.2.2_3.0_1703887419402.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_1e_3_lr_5e_3_en_5.2.2_3.0_1703887419402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_1e_3_lr_5e_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_1e_3_lr_5e_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_weight_decay_1e_3_lr_5e_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert_weight_decay_1e_3_lr_5e_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_en.md new file mode 100644 index 0000000000000..fa4110be5c4a8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_weight_decay_final DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_weight_decay_final +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_weight_decay_final` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_final_en_5.2.2_3.0_1703888569562.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_final_en_5.2.2_3.0_1703888569562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_final","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_final","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_weight_decay_final| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert_weight_decay_final \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_metrics_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_metrics_en.md new file mode 100644 index 0000000000000..19661a2bf659b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_weight_decay_final_metrics_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_weight_decay_final_metrics DistilBertForSequenceClassification from cruiser +author: John Snow Labs +name: distilbert_weight_decay_final_metrics +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_weight_decay_final_metrics` is a English model originally trained by cruiser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_final_metrics_en_5.2.2_3.0_1703889840980.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_weight_decay_final_metrics_en_5.2.2_3.0_1703889840980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_final_metrics","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_weight_decay_final_metrics","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_weight_decay_final_metrics| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cruiser/distilbert_weight_decay_final_metrics \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_growth_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_growth_form_finetuned_en.md new file mode 100644 index 0000000000000..a08be65a29f89 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_growth_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_wiki_growth_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_wiki_growth_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_wiki_growth_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_wiki_growth_form_finetuned_en_5.2.2_3.0_1703884089028.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_wiki_growth_form_finetuned_en_5.2.2_3.0_1703884089028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_growth_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_growth_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_wiki_growth_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-WIKI_Growth_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_life_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_life_form_finetuned_en.md new file mode 100644 index 0000000000000..368a13a926060 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_life_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_wiki_life_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_wiki_life_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_wiki_life_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_wiki_life_form_finetuned_en_5.2.2_3.0_1703888565970.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_wiki_life_form_finetuned_en_5.2.2_3.0_1703888565970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_life_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_life_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_wiki_life_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-WIKI_Life_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_lifecycle_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_lifecycle_finetuned_en.md new file mode 100644 index 0000000000000..0107bbe994c14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_wiki_lifecycle_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_wiki_lifecycle_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_wiki_lifecycle_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_wiki_lifecycle_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_wiki_lifecycle_finetuned_en_5.2.2_3.0_1703879563459.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_wiki_lifecycle_finetuned_en_5.2.2_3.0_1703879563459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_lifecycle_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_lifecycle_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_wiki_lifecycle_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-WIKI_Lifecycle_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilbert_without_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilbert_without_preprocessing_grid_search_en.md new file mode 100644 index 0000000000000..d945bf67fbac9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilbert_without_preprocessing_grid_search_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_without_preprocessing_grid_search DistilBertForSequenceClassification from LovenOO +author: John Snow Labs +name: distilbert_without_preprocessing_grid_search +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_without_preprocessing_grid_search` is a English model originally trained by LovenOO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_without_preprocessing_grid_search_en_5.2.2_3.0_1703888876613.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_without_preprocessing_grid_search_en_5.2.2_3.0_1703888876613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_without_preprocessing_grid_search","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_without_preprocessing_grid_search","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_without_preprocessing_grid_search| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LovenOO/distilBERT_without_preprocessing_grid_search \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_01_31_13_09_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_01_31_13_09_en.md new file mode 100644 index 0000000000000..5db8eb7e4dacd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_01_31_13_09_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilebert_2023_01_31_13_09 DistilBertForSequenceClassification from leeju +author: John Snow Labs +name: distilebert_2023_01_31_13_09 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilebert_2023_01_31_13_09` is a English model originally trained by leeju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilebert_2023_01_31_13_09_en_5.2.2_3.0_1703883601149.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilebert_2023_01_31_13_09_en_5.2.2_3.0_1703883601149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_01_31_13_09","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_01_31_13_09","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilebert_2023_01_31_13_09| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leeju/distilebert_2023-01-31_13-09 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_02_01_11_13_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_02_01_11_13_en.md new file mode 100644 index 0000000000000..8ae3044a0e318 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_02_01_11_13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilebert_2023_02_01_11_13 DistilBertForSequenceClassification from leeju +author: John Snow Labs +name: distilebert_2023_02_01_11_13 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilebert_2023_02_01_11_13` is a English model originally trained by leeju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilebert_2023_02_01_11_13_en_5.2.2_3.0_1703892646831.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilebert_2023_02_01_11_13_en_5.2.2_3.0_1703892646831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_02_01_11_13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_02_01_11_13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilebert_2023_02_01_11_13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leeju/distilebert_2023-02-01_11-13 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_04_04_09_15_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_04_04_09_15_en.md new file mode 100644 index 0000000000000..4c0c46733689e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilebert_2023_04_04_09_15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilebert_2023_04_04_09_15 DistilBertForSequenceClassification from leeju +author: John Snow Labs +name: distilebert_2023_04_04_09_15 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilebert_2023_04_04_09_15` is a English model originally trained by leeju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilebert_2023_04_04_09_15_en_5.2.2_3.0_1703882752124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilebert_2023_04_04_09_15_en_5.2.2_3.0_1703882752124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_04_04_09_15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilebert_2023_04_04_09_15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilebert_2023_04_04_09_15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leeju/distilebert_2023-04-04_09-15 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_alpha_0_8_epoch5_v1_en.md b/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_alpha_0_8_epoch5_v1_en.md new file mode 100644 index 0000000000000..1bdfd1b65dcf6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_alpha_0_8_epoch5_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distiled_flip_model_emotion_alpha_0_8_epoch5_v1 DistilBertForSequenceClassification from ArafatBHossain +author: John Snow Labs +name: distiled_flip_model_emotion_alpha_0_8_epoch5_v1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiled_flip_model_emotion_alpha_0_8_epoch5_v1` is a English model originally trained by ArafatBHossain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiled_flip_model_emotion_alpha_0_8_epoch5_v1_en_5.2.2_3.0_1703865749173.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiled_flip_model_emotion_alpha_0_8_epoch5_v1_en_5.2.2_3.0_1703865749173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_emotion_alpha_0_8_epoch5_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_emotion_alpha_0_8_epoch5_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distiled_flip_model_emotion_alpha_0_8_epoch5_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ArafatBHossain/distiled_flip_model_emotion_alpha_0.8_epoch5_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_en.md new file mode 100644 index 0000000000000..7cfbc65362333 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distiled_flip_model_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distiled_flip_model_emotion DistilBertForSequenceClassification from ArafatBHossain +author: John Snow Labs +name: distiled_flip_model_emotion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiled_flip_model_emotion` is a English model originally trained by ArafatBHossain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiled_flip_model_emotion_en_5.2.2_3.0_1703870759543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiled_flip_model_emotion_en_5.2.2_3.0_1703870759543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distiled_flip_model_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ArafatBHossain/distiled_flip_model_emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distill_bert_1220_en.md b/docs/_posts/ahmedlone127/2023-12-29-distill_bert_1220_en.md new file mode 100644 index 0000000000000..ff6d83479c9e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distill_bert_1220_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_bert_1220 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_bert_1220 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_bert_1220` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_bert_1220_en_5.2.2_3.0_1703871198260.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_bert_1220_en_5.2.2_3.0_1703871198260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_bert_1220","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_bert_1220","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_bert_1220| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-bert-1220 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distillbert_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-12-29-distillbert_finetuned_imdb_en.md new file mode 100644 index 0000000000000..37de13a1cb11b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distillbert_finetuned_imdb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distillbert_finetuned_imdb DistilBertForSequenceClassification from cokeoma +author: John Snow Labs +name: distillbert_finetuned_imdb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_finetuned_imdb` is a English model originally trained by cokeoma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_finetuned_imdb_en_5.2.2_3.0_1703862239047.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_finetuned_imdb_en_5.2.2_3.0_1703862239047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_finetuned_imdb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_finetuned_imdb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distillbert_finetuned_imdb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cokeoma/distillbert-finetuned-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distillbert_news_5label_en.md b/docs/_posts/ahmedlone127/2023-12-29-distillbert_news_5label_en.md new file mode 100644 index 0000000000000..c8d0cda264f55 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distillbert_news_5label_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distillbert_news_5label DistilBertForSequenceClassification from anantjoshicz +author: John Snow Labs +name: distillbert_news_5label +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_news_5label` is a English model originally trained by anantjoshicz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_news_5label_en_5.2.2_3.0_1703891694366.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_news_5label_en_5.2.2_3.0_1703891694366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_news_5label","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_news_5label","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distillbert_news_5label| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/anantjoshicz/distillbert-news-5label \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distillberturk_15_epoch_en.md b/docs/_posts/ahmedlone127/2023-12-29-distillberturk_15_epoch_en.md new file mode 100644 index 0000000000000..40ae2b4dfdad8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distillberturk_15_epoch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distillberturk_15_epoch DistilBertForSequenceClassification from Buseak +author: John Snow Labs +name: distillberturk_15_epoch +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillberturk_15_epoch` is a English model originally trained by Buseak. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillberturk_15_epoch_en_5.2.2_3.0_1703878869909.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillberturk_15_epoch_en_5.2.2_3.0_1703878869909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillberturk_15_epoch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillberturk_15_epoch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distillberturk_15_epoch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|254.0 MB| + +## References + +https://huggingface.co/Buseak/DistillBerTurk_15_epoch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-distilt_bert_29_med_intents_en.md b/docs/_posts/ahmedlone127/2023-12-29-distilt_bert_29_med_intents_en.md new file mode 100644 index 0000000000000..c902ad4c97782 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-distilt_bert_29_med_intents_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilt_bert_29_med_intents DistilBertForSequenceClassification from m-aliabbas1 +author: John Snow Labs +name: distilt_bert_29_med_intents +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilt_bert_29_med_intents` is a English model originally trained by m-aliabbas1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilt_bert_29_med_intents_en_5.2.2_3.0_1703876732304.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilt_bert_29_med_intents_en_5.2.2_3.0_1703876732304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilt_bert_29_med_intents","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilt_bert_29_med_intents","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilt_bert_29_med_intents| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/m-aliabbas1/distilt_bert_29_med_intents \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ditilbert_base_uncased_finetuned_clinc_en.md b/docs/_posts/ahmedlone127/2023-12-29-ditilbert_base_uncased_finetuned_clinc_en.md new file mode 100644 index 0000000000000..469f713094320 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ditilbert_base_uncased_finetuned_clinc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ditilbert_base_uncased_finetuned_clinc DistilBertForSequenceClassification from ysige +author: John Snow Labs +name: ditilbert_base_uncased_finetuned_clinc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ditilbert_base_uncased_finetuned_clinc` is a English model originally trained by ysige. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ditilbert_base_uncased_finetuned_clinc_en_5.2.2_3.0_1703865848103.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ditilbert_base_uncased_finetuned_clinc_en_5.2.2_3.0_1703865848103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ditilbert_base_uncased_finetuned_clinc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ditilbert_base_uncased_finetuned_clinc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ditilbert_base_uncased_finetuned_clinc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ysige/ditilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-dschallenge10epochs_en.md b/docs/_posts/ahmedlone127/2023-12-29-dschallenge10epochs_en.md new file mode 100644 index 0000000000000..9e09e44b0b902 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-dschallenge10epochs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dschallenge10epochs DistilBertForSequenceClassification from leonardosaveri +author: John Snow Labs +name: dschallenge10epochs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallenge10epochs` is a English model originally trained by leonardosaveri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallenge10epochs_en_5.2.2_3.0_1703892958884.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallenge10epochs_en_5.2.2_3.0_1703892958884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallenge10epochs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallenge10epochs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dschallenge10epochs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leonardosaveri/DSChallenge10Epochs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-dschallengelearningrateweightdecay_en.md b/docs/_posts/ahmedlone127/2023-12-29-dschallengelearningrateweightdecay_en.md new file mode 100644 index 0000000000000..9fbe370a1b5e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-dschallengelearningrateweightdecay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dschallengelearningrateweightdecay DistilBertForSequenceClassification from leonardosaveri +author: John Snow Labs +name: dschallengelearningrateweightdecay +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallengelearningrateweightdecay` is a English model originally trained by leonardosaveri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallengelearningrateweightdecay_en_5.2.2_3.0_1703894212497.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallengelearningrateweightdecay_en_5.2.2_3.0_1703894212497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengelearningrateweightdecay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengelearningrateweightdecay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dschallengelearningrateweightdecay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leonardosaveri/DSChallengeLearningRateWeightDecay \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-dschallengeweightdecay_en.md b/docs/_posts/ahmedlone127/2023-12-29-dschallengeweightdecay_en.md new file mode 100644 index 0000000000000..b2dbcb33fb014 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-dschallengeweightdecay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dschallengeweightdecay DistilBertForSequenceClassification from leonardosaveri +author: John Snow Labs +name: dschallengeweightdecay +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallengeweightdecay` is a English model originally trained by leonardosaveri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallengeweightdecay_en_5.2.2_3.0_1703892142320.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallengeweightdecay_en_5.2.2_3.0_1703892142320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengeweightdecay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengeweightdecay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dschallengeweightdecay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/leonardosaveri/DSChallengeWeightDecay \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbert_en.md b/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbert_en.md new file mode 100644 index 0000000000000..8e07a15171cdb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English duplicatidistillbert DistilBertForSequenceClassification from Kamer +author: John Snow Labs +name: duplicatidistillbert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicatidistillbert` is a English model originally trained by Kamer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicatidistillbert_en_5.2.2_3.0_1703864362580.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicatidistillbert_en_5.2.2_3.0_1703864362580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|duplicatidistillbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kamer/DuplicatiDistillBert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbertfulltraining_bendico765_en.md b/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbertfulltraining_bendico765_en.md new file mode 100644 index 0000000000000..9d40db294ed23 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-duplicatidistillbertfulltraining_bendico765_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English duplicatidistillbertfulltraining_bendico765 DistilBertForSequenceClassification from bendico765 +author: John Snow Labs +name: duplicatidistillbertfulltraining_bendico765 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicatidistillbertfulltraining_bendico765` is a English model originally trained by bendico765. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicatidistillbertfulltraining_bendico765_en_5.2.2_3.0_1703861722179.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicatidistillbertfulltraining_bendico765_en_5.2.2_3.0_1703861722179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbertfulltraining_bendico765","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbertfulltraining_bendico765","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|duplicatidistillbertfulltraining_bendico765| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bendico765/DuplicatiDistillBertFullTraining \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ec_classfication_en.md b/docs/_posts/ahmedlone127/2023-12-29-ec_classfication_en.md new file mode 100644 index 0000000000000..163f998856552 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ec_classfication_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ec_classfication DistilBertForSequenceClassification from kimsiun +author: John Snow Labs +name: ec_classfication +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ec_classfication` is a English model originally trained by kimsiun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ec_classfication_en_5.2.2_3.0_1703882317124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ec_classfication_en_5.2.2_3.0_1703882317124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ec_classfication","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ec_classfication","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ec_classfication| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kimsiun/ec_classfication \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_climber_pretrained_en.md b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_climber_pretrained_en.md new file mode 100644 index 0000000000000..83ac968588f62 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_climber_pretrained_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_climber_pretrained DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_climber_pretrained +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_climber_pretrained` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_climber_pretrained_en_5.2.2_3.0_1703889710387.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_climber_pretrained_en_5.2.2_3.0_1703889710387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_climber_pretrained","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_climber_pretrained","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_climber_pretrained| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Climber_Pretrained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_epiphyte_pretrained_en.md b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_epiphyte_pretrained_en.md new file mode 100644 index 0000000000000..4123628ffa27c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_epiphyte_pretrained_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_epiphyte_pretrained DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_epiphyte_pretrained +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_epiphyte_pretrained` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_epiphyte_pretrained_en_5.2.2_3.0_1703884263057.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_epiphyte_pretrained_en_5.2.2_3.0_1703884263057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_epiphyte_pretrained","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_epiphyte_pretrained","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_epiphyte_pretrained| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Epiphyte_Pretrained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_growth_form_scratch_en.md b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_growth_form_scratch_en.md new file mode 100644 index 0000000000000..e0dee325865b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_growth_form_scratch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_growth_form_scratch DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_growth_form_scratch +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_growth_form_scratch` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_growth_form_scratch_en_5.2.2_3.0_1703873590900.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_growth_form_scratch_en_5.2.2_3.0_1703873590900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_growth_form_scratch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_growth_form_scratch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_growth_form_scratch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Growth_Form_Scratch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_life_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_life_form_finetuned_en.md new file mode 100644 index 0000000000000..2a1ee203dfa99 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_life_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_life_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_life_form_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_life_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_life_form_finetuned_en_5.2.2_3.0_1703891694297.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_life_form_finetuned_en_5.2.2_3.0_1703891694297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_life_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_life_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_life_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Life_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_lifecycle_pretrained_en.md b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_lifecycle_pretrained_en.md new file mode 100644 index 0000000000000..9a43b39cd47d6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ecobert_powo_lifecycle_pretrained_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_lifecycle_pretrained DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_lifecycle_pretrained +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_lifecycle_pretrained` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_lifecycle_pretrained_en_5.2.2_3.0_1703861857005.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_lifecycle_pretrained_en_5.2.2_3.0_1703861857005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_lifecycle_pretrained","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_lifecycle_pretrained","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_lifecycle_pretrained| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Lifecycle_Pretrained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_1234567_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_1234567_marcolatella_en.md new file mode 100644 index 0000000000000..afd13eb440953 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_1234567_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_trained_1234567_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: emotion_trained_1234567_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_trained_1234567_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_trained_1234567_marcolatella_en_5.2.2_3.0_1703883030985.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_trained_1234567_marcolatella_en_5.2.2_3.0_1703883030985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained_1234567_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained_1234567_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_trained_1234567_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/emotion_trained_1234567 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_31415_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_31415_marcolatella_en.md new file mode 100644 index 0000000000000..2e0a77a5cf3a5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_31415_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_trained_31415_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: emotion_trained_31415_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_trained_31415_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_trained_31415_marcolatella_en_5.2.2_3.0_1703889089203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_trained_31415_marcolatella_en_5.2.2_3.0_1703889089203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained_31415_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained_31415_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_trained_31415_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/emotion_trained_31415 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_en.md b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_en.md new file mode 100644 index 0000000000000..bf43b8568a890 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-emotion_trained_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_trained DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: emotion_trained +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_trained` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_trained_en_5.2.2_3.0_1703893124147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_trained_en_5.2.2_3.0_1703893124147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_trained","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_trained| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/emotion_trained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-en_astitchtask1a_distilbert_falsetrue_0_2_best_en.md b/docs/_posts/ahmedlone127/2023-12-29-en_astitchtask1a_distilbert_falsetrue_0_2_best_en.md new file mode 100644 index 0000000000000..82cd4c36e2624 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-en_astitchtask1a_distilbert_falsetrue_0_2_best_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English en_astitchtask1a_distilbert_falsetrue_0_2_best DistilBertForSequenceClassification from harish +author: John Snow Labs +name: en_astitchtask1a_distilbert_falsetrue_0_2_best +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`en_astitchtask1a_distilbert_falsetrue_0_2_best` is a English model originally trained by harish. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/en_astitchtask1a_distilbert_falsetrue_0_2_best_en_5.2.2_3.0_1703889977702.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/en_astitchtask1a_distilbert_falsetrue_0_2_best_en_5.2.2_3.0_1703889977702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("en_astitchtask1a_distilbert_falsetrue_0_2_best","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("en_astitchtask1a_distilbert_falsetrue_0_2_best","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|en_astitchtask1a_distilbert_falsetrue_0_2_best| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/harish/EN-AStitchTask1A-DistilBERT-FalseTrue-0-2-BEST \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-esci_us_distilbert_base_uncased_7e_6_en.md b/docs/_posts/ahmedlone127/2023-12-29-esci_us_distilbert_base_uncased_7e_6_en.md new file mode 100644 index 0000000000000..712d44363ad70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-esci_us_distilbert_base_uncased_7e_6_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English esci_us_distilbert_base_uncased_7e_6 DistilBertForSequenceClassification from spacemanidol +author: John Snow Labs +name: esci_us_distilbert_base_uncased_7e_6 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esci_us_distilbert_base_uncased_7e_6` is a English model originally trained by spacemanidol. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esci_us_distilbert_base_uncased_7e_6_en_5.2.2_3.0_1703878549283.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esci_us_distilbert_base_uncased_7e_6_en_5.2.2_3.0_1703878549283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("esci_us_distilbert_base_uncased_7e_6","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("esci_us_distilbert_base_uncased_7e_6","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|esci_us_distilbert_base_uncased_7e_6| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/spacemanidol/esci-us-distilbert-base-uncased-7e-6 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-facility_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-facility_classifier_en.md new file mode 100644 index 0000000000000..1cc7fd3591a8f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-facility_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English facility_classifier DistilBertForSequenceClassification from joniponi +author: John Snow Labs +name: facility_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facility_classifier` is a English model originally trained by joniponi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facility_classifier_en_5.2.2_3.0_1703877911463.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facility_classifier_en_5.2.2_3.0_1703877911463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("facility_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("facility_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|facility_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joniponi/facility-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fake_news_covid_en.md b/docs/_posts/ahmedlone127/2023-12-29-fake_news_covid_en.md new file mode 100644 index 0000000000000..cbc32bad215ed --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fake_news_covid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake_news_covid DistilBertForSequenceClassification from madhuselvaraj +author: John Snow Labs +name: fake_news_covid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_covid` is a English model originally trained by madhuselvaraj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_covid_en_5.2.2_3.0_1703891375406.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_covid_en_5.2.2_3.0_1703891375406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_news_covid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_news_covid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake_news_covid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/madhuselvaraj/fake_news_covid \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fake_tipping_6000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-fake_tipping_6000_samples_en.md new file mode 100644 index 0000000000000..a936ffdd5b299 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fake_tipping_6000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake_tipping_6000_samples DistilBertForSequenceClassification from mansidw +author: John Snow Labs +name: fake_tipping_6000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_tipping_6000_samples` is a English model originally trained by mansidw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_tipping_6000_samples_en_5.2.2_3.0_1703867909764.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_tipping_6000_samples_en_5.2.2_3.0_1703867909764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_tipping_6000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_tipping_6000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake_tipping_6000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mansidw/fake-tipping-6000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fakevsrealnews_en.md b/docs/_posts/ahmedlone127/2023-12-29-fakevsrealnews_en.md new file mode 100644 index 0000000000000..687833b76952d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fakevsrealnews_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fakevsrealnews DistilBertForSequenceClassification from Shadman-Rohan +author: John Snow Labs +name: fakevsrealnews +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakevsrealnews` is a English model originally trained by Shadman-Rohan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakevsrealnews_en_5.2.2_3.0_1703881527986.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakevsrealnews_en_5.2.2_3.0_1703881527986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fakevsrealnews","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fakevsrealnews","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fakevsrealnews| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Shadman-Rohan/FakevsRealNews \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-feel_me_en.md b/docs/_posts/ahmedlone127/2023-12-29-feel_me_en.md new file mode 100644 index 0000000000000..16c9dd4715a8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-feel_me_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English feel_me DistilBertForSequenceClassification from phi0108 +author: John Snow Labs +name: feel_me +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feel_me` is a English model originally trained by phi0108. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feel_me_en_5.2.2_3.0_1703866847018.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feel_me_en_5.2.2_3.0_1703866847018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("feel_me","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("feel_me","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|feel_me| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/phi0108/feel_me \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arnfinn_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arnfinn_en.md new file mode 100644 index 0000000000000..4d97c3cf50697 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arnfinn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_arnfinn DistilBertForSequenceClassification from arnfinn +author: John Snow Labs +name: fin_sentiment_arnfinn +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_arnfinn` is a English model originally trained by arnfinn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_arnfinn_en_5.2.2_3.0_1703875067683.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_arnfinn_en_5.2.2_3.0_1703875067683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_arnfinn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_arnfinn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_arnfinn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/arnfinn/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arpitj3_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arpitj3_en.md new file mode 100644 index 0000000000000..6054e770828d8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_arpitj3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_arpitj3 DistilBertForSequenceClassification from arpitj3 +author: John Snow Labs +name: fin_sentiment_arpitj3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_arpitj3` is a English model originally trained by arpitj3. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_arpitj3_en_5.2.2_3.0_1703877585661.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_arpitj3_en_5.2.2_3.0_1703877585661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_arpitj3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_arpitj3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_arpitj3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/arpitj3/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ayu1003_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ayu1003_en.md new file mode 100644 index 0000000000000..46fdc1a0a6280 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ayu1003_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_ayu1003 DistilBertForSequenceClassification from ayu1003 +author: John Snow Labs +name: fin_sentiment_ayu1003 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_ayu1003` is a English model originally trained by ayu1003. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_ayu1003_en_5.2.2_3.0_1703866547858.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_ayu1003_en_5.2.2_3.0_1703866547858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ayu1003","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ayu1003","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_ayu1003| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ayu1003/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_crystalw3636_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_crystalw3636_en.md new file mode 100644 index 0000000000000..064aa6873dc76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_crystalw3636_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_crystalw3636 DistilBertForSequenceClassification from crystalw3636 +author: John Snow Labs +name: fin_sentiment_crystalw3636 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_crystalw3636` is a English model originally trained by crystalw3636. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_crystalw3636_en_5.2.2_3.0_1703869057093.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_crystalw3636_en_5.2.2_3.0_1703869057093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_crystalw3636","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_crystalw3636","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_crystalw3636| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/crystalw3636/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_itsmeandy_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_itsmeandy_en.md new file mode 100644 index 0000000000000..858425d273de7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_itsmeandy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_itsmeandy DistilBertForSequenceClassification from itsmeandy +author: John Snow Labs +name: fin_sentiment_itsmeandy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_itsmeandy` is a English model originally trained by itsmeandy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_itsmeandy_en_5.2.2_3.0_1703890702278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_itsmeandy_en_5.2.2_3.0_1703890702278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_itsmeandy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_itsmeandy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_itsmeandy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/itsmeandy/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_jenseilertsen_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_jenseilertsen_en.md new file mode 100644 index 0000000000000..8a8890e4dfe77 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_jenseilertsen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_jenseilertsen DistilBertForSequenceClassification from JensEilertsen +author: John Snow Labs +name: fin_sentiment_jenseilertsen +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_jenseilertsen` is a English model originally trained by JensEilertsen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_jenseilertsen_en_5.2.2_3.0_1703877417959.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_jenseilertsen_en_5.2.2_3.0_1703877417959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_jenseilertsen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_jenseilertsen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_jenseilertsen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JensEilertsen/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_kirisums_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_kirisums_en.md new file mode 100644 index 0000000000000..4131497ae26a5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_kirisums_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_kirisums DistilBertForSequenceClassification from kirisums +author: John Snow Labs +name: fin_sentiment_kirisums +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_kirisums` is a English model originally trained by kirisums. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_kirisums_en_5.2.2_3.0_1703889376733.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_kirisums_en_5.2.2_3.0_1703889376733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_kirisums","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_kirisums","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_kirisums| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kirisums/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_matteow_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_matteow_en.md new file mode 100644 index 0000000000000..fdd59110785e8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_matteow_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_matteow DistilBertForSequenceClassification from matteow +author: John Snow Labs +name: fin_sentiment_matteow +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_matteow` is a English model originally trained by matteow. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_matteow_en_5.2.2_3.0_1703882905224.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_matteow_en_5.2.2_3.0_1703882905224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_matteow","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_matteow","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_matteow| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/matteow/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_michalroztocki_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_michalroztocki_en.md new file mode 100644 index 0000000000000..b6eca612e3d19 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_michalroztocki_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_michalroztocki DistilBertForSequenceClassification from MichalRoztocki +author: John Snow Labs +name: fin_sentiment_michalroztocki +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_michalroztocki` is a English model originally trained by MichalRoztocki. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_michalroztocki_en_5.2.2_3.0_1703867117706.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_michalroztocki_en_5.2.2_3.0_1703867117706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_michalroztocki","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_michalroztocki","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_michalroztocki| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MichalRoztocki/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_nehaljani_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_nehaljani_en.md new file mode 100644 index 0000000000000..46fc010ff0ad0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_nehaljani_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_nehaljani DistilBertForSequenceClassification from NehalJani +author: John Snow Labs +name: fin_sentiment_nehaljani +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_nehaljani` is a English model originally trained by NehalJani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_nehaljani_en_5.2.2_3.0_1703879271745.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_nehaljani_en_5.2.2_3.0_1703879271745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_nehaljani","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_nehaljani","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_nehaljani| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NehalJani/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pnerkar2_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pnerkar2_en.md new file mode 100644 index 0000000000000..2f4aba8177e99 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pnerkar2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_pnerkar2 DistilBertForSequenceClassification from pnerkar2 +author: John Snow Labs +name: fin_sentiment_pnerkar2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_pnerkar2` is a English model originally trained by pnerkar2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_pnerkar2_en_5.2.2_3.0_1703869859300.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_pnerkar2_en_5.2.2_3.0_1703869859300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_pnerkar2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_pnerkar2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_pnerkar2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pnerkar2/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pratikrelekar_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pratikrelekar_en.md new file mode 100644 index 0000000000000..970dd1573d59e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_pratikrelekar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_pratikrelekar DistilBertForSequenceClassification from pratikrelekar +author: John Snow Labs +name: fin_sentiment_pratikrelekar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_pratikrelekar` is a English model originally trained by pratikrelekar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_pratikrelekar_en_5.2.2_3.0_1703880161205.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_pratikrelekar_en_5.2.2_3.0_1703880161205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_pratikrelekar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_pratikrelekar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_pratikrelekar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pratikrelekar/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ramonarellano_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ramonarellano_en.md new file mode 100644 index 0000000000000..75cc8c20ec923 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ramonarellano_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_ramonarellano DistilBertForSequenceClassification from ramonarellano +author: John Snow Labs +name: fin_sentiment_ramonarellano +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_ramonarellano` is a English model originally trained by ramonarellano. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_ramonarellano_en_5.2.2_3.0_1703888659086.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_ramonarellano_en_5.2.2_3.0_1703888659086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ramonarellano","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ramonarellano","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_ramonarellano| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ramonarellano/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_rmahade2_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_rmahade2_en.md new file mode 100644 index 0000000000000..22ab182146bb1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_rmahade2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_rmahade2 DistilBertForSequenceClassification from rmahade2 +author: John Snow Labs +name: fin_sentiment_rmahade2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_rmahade2` is a English model originally trained by rmahade2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_rmahade2_en_5.2.2_3.0_1703885760411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_rmahade2_en_5.2.2_3.0_1703885760411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_rmahade2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_rmahade2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_rmahade2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rmahade2/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_s808_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_s808_en.md new file mode 100644 index 0000000000000..e95d0a761115a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_s808_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_s808 DistilBertForSequenceClassification from S808 +author: John Snow Labs +name: fin_sentiment_s808 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_s808` is a English model originally trained by S808. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_s808_en_5.2.2_3.0_1703869195465.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_s808_en_5.2.2_3.0_1703869195465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_s808","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_s808","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_s808| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/S808/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sajalsainiillinois_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sajalsainiillinois_en.md new file mode 100644 index 0000000000000..99e19f3ecf98f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sajalsainiillinois_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_sajalsainiillinois DistilBertForSequenceClassification from SajalSainiIllinois +author: John Snow Labs +name: fin_sentiment_sajalsainiillinois +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_sajalsainiillinois` is a English model originally trained by SajalSainiIllinois. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_sajalsainiillinois_en_5.2.2_3.0_1703861243985.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_sajalsainiillinois_en_5.2.2_3.0_1703861243985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_sajalsainiillinois","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_sajalsainiillinois","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_sajalsainiillinois| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SajalSainiIllinois/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sc115_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sc115_en.md new file mode 100644 index 0000000000000..3baba35ff0685 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_sc115_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_sc115 DistilBertForSequenceClassification from sc115 +author: John Snow Labs +name: fin_sentiment_sc115 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_sc115` is a English model originally trained by sc115. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_sc115_en_5.2.2_3.0_1703875579757.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_sc115_en_5.2.2_3.0_1703875579757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_sc115","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_sc115","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_sc115| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sc115/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_suhasy2_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_suhasy2_en.md new file mode 100644 index 0000000000000..f3c74dd9a9def --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_suhasy2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_suhasy2 DistilBertForSequenceClassification from suhasy2 +author: John Snow Labs +name: fin_sentiment_suhasy2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_suhasy2` is a English model originally trained by suhasy2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_suhasy2_en_5.2.2_3.0_1703883676043.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_suhasy2_en_5.2.2_3.0_1703883676043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_suhasy2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_suhasy2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_suhasy2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/suhasy2/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vimuser_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vimuser_en.md new file mode 100644 index 0000000000000..2fdb3bbf59c76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vimuser_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_vimuser DistilBertForSequenceClassification from vimuser +author: John Snow Labs +name: fin_sentiment_vimuser +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_vimuser` is a English model originally trained by vimuser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_vimuser_en_5.2.2_3.0_1703870468579.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_vimuser_en_5.2.2_3.0_1703870468579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_vimuser","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_vimuser","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_vimuser| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vimuser/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vineetganti_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vineetganti_en.md new file mode 100644 index 0000000000000..df30c8e797aad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_vineetganti_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_vineetganti DistilBertForSequenceClassification from vineetganti +author: John Snow Labs +name: fin_sentiment_vineetganti +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_vineetganti` is a English model originally trained by vineetganti. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_vineetganti_en_5.2.2_3.0_1703872471799.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_vineetganti_en_5.2.2_3.0_1703872471799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_vineetganti","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_vineetganti","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_vineetganti| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vineetganti/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_yashbhutoria_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_yashbhutoria_en.md new file mode 100644 index 0000000000000..4b01609670c2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_yashbhutoria_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_yashbhutoria DistilBertForSequenceClassification from yashbhutoria +author: John Snow Labs +name: fin_sentiment_yashbhutoria +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_yashbhutoria` is a English model originally trained by yashbhutoria. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_yashbhutoria_en_5.2.2_3.0_1703863518765.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_yashbhutoria_en_5.2.2_3.0_1703863518765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_yashbhutoria","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_yashbhutoria","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_yashbhutoria| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yashbhutoria/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ycherukury_en.md b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ycherukury_en.md new file mode 100644 index 0000000000000..2470947a0ce48 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fin_sentiment_ycherukury_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_ycherukury DistilBertForSequenceClassification from Ycherukury +author: John Snow Labs +name: fin_sentiment_ycherukury +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_ycherukury` is a English model originally trained by Ycherukury. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_ycherukury_en_5.2.2_3.0_1703872048264.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_ycherukury_en_5.2.2_3.0_1703872048264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ycherukury","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_ycherukury","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_ycherukury| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ycherukury/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-find_model_v1_en.md b/docs/_posts/ahmedlone127/2023-12-29-find_model_v1_en.md new file mode 100644 index 0000000000000..6368ffa2576eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-find_model_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English find_model_v1 DistilBertForSequenceClassification from nminhptnk +author: John Snow Labs +name: find_model_v1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`find_model_v1` is a English model originally trained by nminhptnk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/find_model_v1_en_5.2.2_3.0_1703892493107.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/find_model_v1_en_5.2.2_3.0_1703892493107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("find_model_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("find_model_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|find_model_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nminhptnk/find_model_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fine_tuned_toxic_tweet_dilbert_en.md b/docs/_posts/ahmedlone127/2023-12-29-fine_tuned_toxic_tweet_dilbert_en.md new file mode 100644 index 0000000000000..1490cfcb0a39a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fine_tuned_toxic_tweet_dilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fine_tuned_toxic_tweet_dilbert DistilBertForSequenceClassification from aim9061 +author: John Snow Labs +name: fine_tuned_toxic_tweet_dilbert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_toxic_tweet_dilbert` is a English model originally trained by aim9061. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_toxic_tweet_dilbert_en_5.2.2_3.0_1703872304795.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_toxic_tweet_dilbert_en_5.2.2_3.0_1703872304795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_toxic_tweet_dilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_toxic_tweet_dilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fine_tuned_toxic_tweet_dilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aim9061/fine-tuned-toxic-tweet-dilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetune01_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetune01_en.md new file mode 100644 index 0000000000000..899e8688d8874 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetune01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetune01 DistilBertForSequenceClassification from ThatOnePallavi +author: John Snow Labs +name: finetune01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune01` is a English model originally trained by ThatOnePallavi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune01_en_5.2.2_3.0_1703869501361.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune01_en_5.2.2_3.0_1703869501361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetune01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ThatOnePallavi/FineTune01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetune_bert_avalinguo_2epoch_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetune_bert_avalinguo_2epoch_en.md new file mode 100644 index 0000000000000..faae0641434a8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetune_bert_avalinguo_2epoch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetune_bert_avalinguo_2epoch DistilBertForSequenceClassification from papasega +author: John Snow Labs +name: finetune_bert_avalinguo_2epoch +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_bert_avalinguo_2epoch` is a English model originally trained by papasega. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_bert_avalinguo_2epoch_en_5.2.2_3.0_1703888528912.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_bert_avalinguo_2epoch_en_5.2.2_3.0_1703888528912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune_bert_avalinguo_2epoch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune_bert_avalinguo_2epoch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetune_bert_avalinguo_2epoch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/papasega/finetune_bert_avalinguo_2epoch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetune_small_imdb_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetune_small_imdb_sentiment_en.md new file mode 100644 index 0000000000000..462db6f020d36 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetune_small_imdb_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetune_small_imdb_sentiment DistilBertForSequenceClassification from vikneshk +author: John Snow Labs +name: finetune_small_imdb_sentiment +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_small_imdb_sentiment` is a English model originally trained by vikneshk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_small_imdb_sentiment_en_5.2.2_3.0_1703885277011.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_small_imdb_sentiment_en_5.2.2_3.0_1703885277011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune_small_imdb_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetune_small_imdb_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetune_small_imdb_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/vikneshk/finetune_small_imdb_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_ckpt_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_ckpt_en.md new file mode 100644 index 0000000000000..6dc0b8c38dadf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_ckpt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_ckpt DistilBertForSequenceClassification from susnato +author: John Snow Labs +name: finetuned_ckpt +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_ckpt` is a English model originally trained by susnato. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_ckpt_en_5.2.2_3.0_1703881047272.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_ckpt_en_5.2.2_3.0_1703881047272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_ckpt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_ckpt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_ckpt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/susnato/finetuned_ckpt \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_base_model_kwasiasomani_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_base_model_kwasiasomani_en.md new file mode 100644 index 0000000000000..b5beab31f4121 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_base_model_kwasiasomani_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_base_model_kwasiasomani DistilBertForSequenceClassification from Kwasiasomani +author: John Snow Labs +name: finetuned_distilbert_base_model_kwasiasomani +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_model_kwasiasomani` is a English model originally trained by Kwasiasomani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_kwasiasomani_en_5.2.2_3.0_1703861854010.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_kwasiasomani_en_5.2.2_3.0_1703861854010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_base_model_kwasiasomani","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_base_model_kwasiasomani","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_base_model_kwasiasomani| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kwasiasomani/Finetuned-Distilbert-base-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_mohammadag_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_mohammadag_en.md new file mode 100644 index 0000000000000..b0e7de0838ebd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_mohammadag_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_mohammadag DistilBertForSequenceClassification from mohammadag +author: John Snow Labs +name: finetuned_distilbert_mohammadag +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_mohammadag` is a English model originally trained by mohammadag. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_mohammadag_en_5.2.2_3.0_1703882352063.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_mohammadag_en_5.2.2_3.0_1703882352063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_mohammadag","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_mohammadag","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_mohammadag| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mohammadag/finetuned_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_2_en.md new file mode 100644 index 0000000000000..ae232c36612d6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_multi_label_emotion_2 DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_multi_label_emotion_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_2` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_2_en_5.2.2_3.0_1703863378803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_2_en_5.2.2_3.0_1703863378803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_multi_label_emotion_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_3_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_3_en.md new file mode 100644 index 0000000000000..dd40ca3c4f1b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_multi_label_emotion_3 DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_multi_label_emotion_3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_3` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_3_en_5.2.2_3.0_1703879162504.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_3_en_5.2.2_3.0_1703879162504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_multi_label_emotion_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_4_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_4_en.md new file mode 100644 index 0000000000000..e0226291cb8cf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_multi_label_emotion_4 DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_multi_label_emotion_4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_4` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_4_en_5.2.2_3.0_1703889551418.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_4_en_5.2.2_3.0_1703889551418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_multi_label_emotion_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_5_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_5_en.md new file mode 100644 index 0000000000000..8cf4d08e2fb9d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_multi_label_emotion_5 DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_multi_label_emotion_5 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_5` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_5_en_5.2.2_3.0_1703873026769.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_5_en_5.2.2_3.0_1703873026769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_multi_label_emotion_5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_headline_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_headline_en.md new file mode 100644 index 0000000000000..289a937a9e910 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_distilbert_multi_label_emotion_headline_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_multi_label_emotion_headline DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_multi_label_emotion_headline +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_headline` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_headline_en_5.2.2_3.0_1703888155972.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_headline_en_5.2.2_3.0_1703888155972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_headline","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_multi_label_emotion_headline","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_multi_label_emotion_headline| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_headline \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41_en.md new file mode 100644 index 0000000000000..cd2b2e65a89e2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41 DistilBertForSequenceClassification from ali2066 +author: John Snow Labs +name: finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41` is a English model originally trained by ali2066. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41_en_5.2.2_3.0_1703870234626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41_en_5.2.2_3.0_1703870234626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_sentence_itr4_2e_05_webdiscourse_27_02_2022_19_01_41| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali2066/finetuned_sentence_itr4_2e-05_webDiscourse_27_02_2022-19_01_41 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_abubakari_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_abubakari_en.md new file mode 100644 index 0000000000000..c3cc8bfefddb6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_abubakari_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_sentiment_classfication_distilbert_model_abubakari DistilBertForSequenceClassification from Abubakari +author: John Snow Labs +name: finetuned_sentiment_classfication_distilbert_model_abubakari +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_distilbert_model_abubakari` is a English model originally trained by Abubakari. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_abubakari_en_5.2.2_3.0_1703862022212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_abubakari_en_5.2.2_3.0_1703862022212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model_abubakari","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model_abubakari","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_sentiment_classfication_distilbert_model_abubakari| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Abubakari/finetuned-Sentiment-classfication-DISTILBERT-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_nhavim_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_nhavim_en.md new file mode 100644 index 0000000000000..ab6c9f9ed12ab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_sentiment_classfication_distilbert_model_nhavim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_sentiment_classfication_distilbert_model_nhavim DistilBertForSequenceClassification from nhavim +author: John Snow Labs +name: finetuned_sentiment_classfication_distilbert_model_nhavim +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_distilbert_model_nhavim` is a English model originally trained by nhavim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_nhavim_en_5.2.2_3.0_1703888377716.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_nhavim_en_5.2.2_3.0_1703888377716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model_nhavim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model_nhavim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_sentiment_classfication_distilbert_model_nhavim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nhavim/finetuned-Sentiment-classfication-DISTILBERT-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuned_toxictweets_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuned_toxictweets_en.md new file mode 100644 index 0000000000000..18958aad6ed29 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuned_toxictweets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_toxictweets DistilBertForSequenceClassification from dahongj +author: John Snow Labs +name: finetuned_toxictweets +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_toxictweets` is a English model originally trained by dahongj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_toxictweets_en_5.2.2_3.0_1703871893648.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_toxictweets_en_5.2.2_3.0_1703871893648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_toxictweets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_toxictweets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_toxictweets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dahongj/finetuned_toxictweets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_customezed_with_imdb_small_data_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_customezed_with_imdb_small_data_en.md new file mode 100644 index 0000000000000..d9e4748f735bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_customezed_with_imdb_small_data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_customezed_with_imdb_small_data DistilBertForSequenceClassification from mscho90 +author: John Snow Labs +name: finetuning_customezed_with_imdb_small_data +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_customezed_with_imdb_small_data` is a English model originally trained by mscho90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_customezed_with_imdb_small_data_en_5.2.2_3.0_1703892904463.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_customezed_with_imdb_small_data_en_5.2.2_3.0_1703892904463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_customezed_with_imdb_small_data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_customezed_with_imdb_small_data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_customezed_with_imdb_small_data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mscho90/finetuning-customezed-with-IMDB-small-data \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_hate_speech_score_model_3000_samples_250423_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_hate_speech_score_model_3000_samples_250423_en.md new file mode 100644 index 0000000000000..3867b4f81f67e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_hate_speech_score_model_3000_samples_250423_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_distilbert_hate_speech_score_model_3000_samples_250423 DistilBertForSequenceClassification from dgalik +author: John Snow Labs +name: finetuning_distilbert_hate_speech_score_model_3000_samples_250423 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_hate_speech_score_model_3000_samples_250423` is a English model originally trained by dgalik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_hate_speech_score_model_3000_samples_250423_en_5.2.2_3.0_1703878382099.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_hate_speech_score_model_3000_samples_250423_en_5.2.2_3.0_1703878382099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_distilbert_hate_speech_score_model_3000_samples_250423","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_distilbert_hate_speech_score_model_3000_samples_250423","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_distilbert_hate_speech_score_model_3000_samples_250423| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dgalik/finetuning-distilbert-hate-speech-score-model-3000-samples-250423 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_model_4000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_model_4000_samples_en.md new file mode 100644 index 0000000000000..445de12720d78 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_distilbert_model_4000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_distilbert_model_4000_samples DistilBertForSequenceClassification from gent-scholar +author: John Snow Labs +name: finetuning_distilbert_model_4000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_model_4000_samples` is a English model originally trained by gent-scholar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_model_4000_samples_en_5.2.2_3.0_1703875746989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_model_4000_samples_en_5.2.2_3.0_1703875746989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_distilbert_model_4000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_distilbert_model_4000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_distilbert_model_4000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gent-scholar/finetuning-DistilBERT-model-4000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_16000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_16000_samples_en.md new file mode 100644 index 0000000000000..c7a8522acf5e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_16000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_16000_samples DistilBertForSequenceClassification from tkathuria +author: John Snow Labs +name: finetuning_emotion_model_16000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_16000_samples` is a English model originally trained by tkathuria. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_16000_samples_en_5.2.2_3.0_1703872458309.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_16000_samples_en_5.2.2_3.0_1703872458309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_16000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_16000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_16000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tkathuria/finetuning-emotion-model-16000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_tirendaz_en.md new file mode 100644 index 0000000000000..c41ba61e6ea2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_tirendaz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_tirendaz DistilBertForSequenceClassification from Tirendaz +author: John Snow Labs +name: finetuning_emotion_model_tirendaz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_tirendaz` is a English model originally trained by Tirendaz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_tirendaz_en_5.2.2_3.0_1703863728262.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_tirendaz_en_5.2.2_3.0_1703863728262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_tirendaz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_tirendaz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_tirendaz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tirendaz/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_virsingh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_virsingh_en.md new file mode 100644 index 0000000000000..b8de27cd32462 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_emotion_model_virsingh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_virsingh DistilBertForSequenceClassification from VirSingh +author: John Snow Labs +name: finetuning_emotion_model_virsingh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_virsingh` is a English model originally trained by VirSingh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_virsingh_en_5.2.2_3.0_1703869053287.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_virsingh_en_5.2.2_3.0_1703869053287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_virsingh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_virsingh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_virsingh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/VirSingh/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_1000_zhaohui_zhaohui_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_1000_zhaohui_zhaohui_en.md new file mode 100644 index 0000000000000..4ceecdb7f22c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_1000_zhaohui_zhaohui_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_misinfo_model_1000_zhaohui_zhaohui DistilBertForSequenceClassification from Zhaohui +author: John Snow Labs +name: finetuning_misinfo_model_1000_zhaohui_zhaohui +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_misinfo_model_1000_zhaohui_zhaohui` is a English model originally trained by Zhaohui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_1000_zhaohui_zhaohui_en_5.2.2_3.0_1703894362654.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_1000_zhaohui_zhaohui_en_5.2.2_3.0_1703894362654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_1000_zhaohui_zhaohui","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_1000_zhaohui_zhaohui","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_misinfo_model_1000_zhaohui_zhaohui| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zhaohui/finetuning-misinfo-model-1000-Zhaohui \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_700_zhaohui_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_700_zhaohui_en.md new file mode 100644 index 0000000000000..c389e3c64e2b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_misinfo_model_700_zhaohui_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_misinfo_model_700_zhaohui DistilBertForSequenceClassification from Zhaohui +author: John Snow Labs +name: finetuning_misinfo_model_700_zhaohui +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_misinfo_model_700_zhaohui` is a English model originally trained by Zhaohui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_700_zhaohui_en_5.2.2_3.0_1703885441097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_700_zhaohui_en_5.2.2_3.0_1703885441097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_700_zhaohui","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_700_zhaohui","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_misinfo_model_700_zhaohui| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zhaohui/finetuning-misinfo-model-700-Zhaohui \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_latest_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_latest_en.md new file mode 100644 index 0000000000000..d6fd0f32cc2ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_latest_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_latest DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: finetuning_sentiment_latest +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_latest` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_latest_en_5.2.2_3.0_1703872861286.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_latest_en_5.2.2_3.0_1703872861286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_latest","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_latest","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_latest| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|689.3 KB| + +## References + +https://huggingface.co/manjinder/finetuning_sentiment_latest \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_mode_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_mode_3000_samples_en.md new file mode 100644 index 0000000000000..83bd90c2886b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_mode_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_mode_3000_samples DistilBertForSequenceClassification from bwhite5311 +author: John Snow Labs +name: finetuning_sentiment_mode_3000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_mode_3000_samples` is a English model originally trained by bwhite5311. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_mode_3000_samples_en_5.2.2_3.0_1703878515981.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_mode_3000_samples_en_5.2.2_3.0_1703878515981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_mode_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_mode_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_mode_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bwhite5311/finetuning-sentiment-mode-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_10000_samples_justsaga_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_10000_samples_justsaga_en.md new file mode 100644 index 0000000000000..194f2957a0fac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_10000_samples_justsaga_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_10000_samples_justsaga DistilBertForSequenceClassification from JustSaga +author: John Snow Labs +name: finetuning_sentiment_model_10000_samples_justsaga +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_10000_samples_justsaga` is a English model originally trained by JustSaga. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_justsaga_en_5.2.2_3.0_1703876667849.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_justsaga_en_5.2.2_3.0_1703876667849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_justsaga","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_justsaga","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_10000_samples_justsaga| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JustSaga/finetuning-sentiment-model-10000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_20000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_20000_samples_en.md new file mode 100644 index 0000000000000..1e378d83c4def --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_20000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_20000_samples DistilBertForSequenceClassification from Keerthan +author: John Snow Labs +name: finetuning_sentiment_model_20000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_20000_samples` is a English model originally trained by Keerthan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_20000_samples_en_5.2.2_3.0_1703893591090.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_20000_samples_en_5.2.2_3.0_1703893591090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_20000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_20000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_20000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Keerthan/finetuning-sentiment-model-20000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_25000_samples_justsaga_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_25000_samples_justsaga_en.md new file mode 100644 index 0000000000000..5be8fbf589492 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_25000_samples_justsaga_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_25000_samples_justsaga DistilBertForSequenceClassification from JustSaga +author: John Snow Labs +name: finetuning_sentiment_model_25000_samples_justsaga +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_25000_samples_justsaga` is a English model originally trained by JustSaga. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_justsaga_en_5.2.2_3.0_1703864371979.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_justsaga_en_5.2.2_3.0_1703864371979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_25000_samples_justsaga","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_25000_samples_justsaga","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_25000_samples_justsaga| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JustSaga/finetuning-sentiment-model-25000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_4_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_4_en.md new file mode 100644 index 0000000000000..63b522e2617cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_4 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_4` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_4_en_5.2.2_3.0_1703863598962.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_4_en_5.2.2_3.0_1703863598962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/finetuning-sentiment-model-3000-samples-4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_5pm_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_5pm_en.md new file mode 100644 index 0000000000000..2c421296f0be7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_5pm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_5pm DistilBertForSequenceClassification from ttwj-sutd +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_5pm +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_5pm` is a English model originally trained by ttwj-sutd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_5pm_en_5.2.2_3.0_1703872405426.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_5pm_en_5.2.2_3.0_1703872405426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_5pm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_5pm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_5pm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ttwj-sutd/finetuning-sentiment-model-3000-samples-5pm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aad40_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aad40_en.md new file mode 100644 index 0000000000000..a80966841abf8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aad40_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aad40 DistilBertForSequenceClassification from aad40 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aad40 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aad40` is a English model originally trained by aad40. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aad40_en_5.2.2_3.0_1703882626326.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aad40_en_5.2.2_3.0_1703882626326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aad40","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aad40","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aad40| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aad40/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_abhinaiky_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_abhinaiky_en.md new file mode 100644 index 0000000000000..b489f6470c0f2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_abhinaiky_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_abhinaiky DistilBertForSequenceClassification from AbhiNaiky +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_abhinaiky +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_abhinaiky` is a English model originally trained by AbhiNaiky. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abhinaiky_en_5.2.2_3.0_1703868281960.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abhinaiky_en_5.2.2_3.0_1703868281960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abhinaiky","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abhinaiky","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_abhinaiky| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AbhiNaiky/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aekhos_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aekhos_en.md new file mode 100644 index 0000000000000..1707ea866a8ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aekhos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aekhos DistilBertForSequenceClassification from Aekhos +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aekhos +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aekhos` is a English model originally trained by Aekhos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aekhos_en_5.2.2_3.0_1703873321858.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aekhos_en_5.2.2_3.0_1703873321858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aekhos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aekhos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aekhos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Aekhos/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ahmadnotusedsam000_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ahmadnotusedsam000_en.md new file mode 100644 index 0000000000000..0faa917372e8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ahmadnotusedsam000_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ahmadnotusedsam000 DistilBertForSequenceClassification from AHMADNOTUSEDSAM000 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ahmadnotusedsam000 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ahmadnotusedsam000` is a English model originally trained by AHMADNOTUSEDSAM000. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ahmadnotusedsam000_en_5.2.2_3.0_1703863615247.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ahmadnotusedsam000_en_5.2.2_3.0_1703863615247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ahmadnotusedsam000","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ahmadnotusedsam000","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ahmadnotusedsam000| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AHMADNOTUSEDSAM000/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_akarshh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_akarshh_en.md new file mode 100644 index 0000000000000..af3ac3bc24a96 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_akarshh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_akarshh DistilBertForSequenceClassification from akarshh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_akarshh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_akarshh` is a English model originally trained by akarshh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_akarshh_en_5.2.2_3.0_1703875204003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_akarshh_en_5.2.2_3.0_1703875204003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_akarshh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_akarshh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_akarshh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/akarshh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alihoujairy_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alihoujairy_en.md new file mode 100644 index 0000000000000..828efd333d090 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alihoujairy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_alihoujairy DistilBertForSequenceClassification from alihoujairy +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_alihoujairy +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_alihoujairy` is a English model originally trained by alihoujairy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alihoujairy_en_5.2.2_3.0_1703884268697.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alihoujairy_en_5.2.2_3.0_1703884268697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alihoujairy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alihoujairy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_alihoujairy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alihoujairy/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alimokh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alimokh_en.md new file mode 100644 index 0000000000000..539871d58422f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_alimokh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_alimokh DistilBertForSequenceClassification from AliMokh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_alimokh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_alimokh` is a English model originally trained by AliMokh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alimokh_en_5.2.2_3.0_1703876374874.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alimokh_en_5.2.2_3.0_1703876374874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alimokh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alimokh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_alimokh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AliMokh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amanda_cristina_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amanda_cristina_en.md new file mode 100644 index 0000000000000..cb29b67f8ce4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amanda_cristina_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_amanda_cristina DistilBertForSequenceClassification from amanda-cristina +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_amanda_cristina +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_amanda_cristina` is a English model originally trained by amanda-cristina. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_amanda_cristina_en_5.2.2_3.0_1703878287181.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_amanda_cristina_en_5.2.2_3.0_1703878287181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_amanda_cristina","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_amanda_cristina","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_amanda_cristina| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/amanda-cristina/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aminramezani345_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aminramezani345_en.md new file mode 100644 index 0000000000000..b6ad5c81e0205 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aminramezani345_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aminramezani345 DistilBertForSequenceClassification from aminramezani345 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aminramezani345 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aminramezani345` is a English model originally trained by aminramezani345. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aminramezani345_en_5.2.2_3.0_1703882301340.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aminramezani345_en_5.2.2_3.0_1703882301340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aminramezani345","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aminramezani345","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aminramezani345| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aminramezani345/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amirbr_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amirbr_en.md new file mode 100644 index 0000000000000..ef7286096ffd6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_amirbr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_amirbr DistilBertForSequenceClassification from amirbr +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_amirbr +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_amirbr` is a English model originally trained by amirbr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_amirbr_en_5.2.2_3.0_1703892780982.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_amirbr_en_5.2.2_3.0_1703892780982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_amirbr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_amirbr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_amirbr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/amirbr/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andrewzhang_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andrewzhang_en.md new file mode 100644 index 0000000000000..8b291516e3b3e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andrewzhang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_andrewzhang DistilBertForSequenceClassification from AndrewZhang +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_andrewzhang +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_andrewzhang` is a English model originally trained by AndrewZhang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andrewzhang_en_5.2.2_3.0_1703865346142.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andrewzhang_en_5.2.2_3.0_1703865346142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andrewzhang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andrewzhang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_andrewzhang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AndrewZhang/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andyomosh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andyomosh_en.md new file mode 100644 index 0000000000000..389205463730c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_andyomosh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_andyomosh DistilBertForSequenceClassification from AndyOmosh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_andyomosh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_andyomosh` is a English model originally trained by AndyOmosh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andyomosh_en_5.2.2_3.0_1703861707221.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andyomosh_en_5.2.2_3.0_1703861707221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andyomosh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andyomosh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_andyomosh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AndyOmosh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aniyfans_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aniyfans_en.md new file mode 100644 index 0000000000000..470d573f72bde --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_aniyfans_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aniyfans DistilBertForSequenceClassification from aniyfans +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aniyfans +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aniyfans` is a English model originally trained by aniyfans. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aniyfans_en_5.2.2_3.0_1703877749122.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aniyfans_en_5.2.2_3.0_1703877749122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aniyfans","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aniyfans","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aniyfans| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aniyfans/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_annamaziarz1_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_annamaziarz1_en.md new file mode 100644 index 0000000000000..4746c545d591f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_annamaziarz1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_annamaziarz1 DistilBertForSequenceClassification from Annamaziarz1 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_annamaziarz1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_annamaziarz1` is a English model originally trained by Annamaziarz1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_annamaziarz1_en_5.2.2_3.0_1703867727779.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_annamaziarz1_en_5.2.2_3.0_1703867727779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_annamaziarz1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_annamaziarz1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_annamaziarz1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Annamaziarz1/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_asma_kehila_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_asma_kehila_en.md new file mode 100644 index 0000000000000..88778d5788f96 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_asma_kehila_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_asma_kehila DistilBertForSequenceClassification from Asma-Kehila +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_asma_kehila +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_asma_kehila` is a English model originally trained by Asma-Kehila. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_asma_kehila_en_5.2.2_3.0_1703876271142.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_asma_kehila_en_5.2.2_3.0_1703876271142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_asma_kehila","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_asma_kehila","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_asma_kehila| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Asma-Kehila/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_athithya_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_athithya_en.md new file mode 100644 index 0000000000000..5c1aa1c1ee7fb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_athithya_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_athithya DistilBertForSequenceClassification from Athithya +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_athithya +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_athithya` is a English model originally trained by Athithya. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_athithya_en_5.2.2_3.0_1703868053302.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_athithya_en_5.2.2_3.0_1703868053302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_athithya","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_athithya","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_athithya| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Athithya/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ausckirk_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ausckirk_en.md new file mode 100644 index 0000000000000..e08b57e3ebca1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ausckirk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ausckirk DistilBertForSequenceClassification from ausckirk +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ausckirk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ausckirk` is a English model originally trained by ausckirk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ausckirk_en_5.2.2_3.0_1703873334350.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ausckirk_en_5.2.2_3.0_1703873334350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ausckirk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ausckirk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ausckirk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ausckirk/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_baffo1971_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_baffo1971_en.md new file mode 100644 index 0000000000000..f4ed2034ac6ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_baffo1971_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_baffo1971 DistilBertForSequenceClassification from baffo1971 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_baffo1971 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_baffo1971` is a English model originally trained by baffo1971. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_baffo1971_en_5.2.2_3.0_1703864193548.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_baffo1971_en_5.2.2_3.0_1703864193548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_baffo1971","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_baffo1971","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_baffo1971| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/baffo1971/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beatricevergati_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beatricevergati_en.md new file mode 100644 index 0000000000000..415984ed0655c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beatricevergati_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_beatricevergati DistilBertForSequenceClassification from BeatriceVergati +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_beatricevergati +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_beatricevergati` is a English model originally trained by BeatriceVergati. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beatricevergati_en_5.2.2_3.0_1703874776977.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beatricevergati_en_5.2.2_3.0_1703874776977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beatricevergati","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beatricevergati","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_beatricevergati| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/BeatriceVergati/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beltran_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beltran_en.md new file mode 100644 index 0000000000000..3d8ec47b012ae --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_beltran_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_beltran DistilBertForSequenceClassification from beltran +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_beltran +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_beltran` is a English model originally trained by beltran. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beltran_en_5.2.2_3.0_1703873731078.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beltran_en_5.2.2_3.0_1703873731078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beltran","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beltran","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_beltran| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/beltran/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bhinfa_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bhinfa_en.md new file mode 100644 index 0000000000000..1747270f2d483 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bhinfa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_bhinfa DistilBertForSequenceClassification from bhinfa +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_bhinfa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bhinfa` is a English model originally trained by bhinfa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bhinfa_en_5.2.2_3.0_1703887253370.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bhinfa_en_5.2.2_3.0_1703887253370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bhinfa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bhinfa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_bhinfa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bhinfa/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bishnu_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bishnu_en.md new file mode 100644 index 0000000000000..ac935a0278040 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_bishnu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_bishnu DistilBertForSequenceClassification from bishnu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_bishnu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bishnu` is a English model originally trained by bishnu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bishnu_en_5.2.2_3.0_1703882619633.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bishnu_en_5.2.2_3.0_1703882619633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bishnu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bishnu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_bishnu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bishnu/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cb2_kai_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cb2_kai_en.md new file mode 100644 index 0000000000000..8c04b95a6a5fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cb2_kai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cb2_kai DistilBertForSequenceClassification from cb2-kai +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cb2_kai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cb2_kai` is a English model originally trained by cb2-kai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cb2_kai_en_5.2.2_3.0_1703862905128.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cb2_kai_en_5.2.2_3.0_1703862905128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cb2_kai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cb2_kai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cb2_kai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cb2-kai/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_christabel_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_christabel_en.md new file mode 100644 index 0000000000000..9f538e03b974e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_christabel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_christabel DistilBertForSequenceClassification from Christabel +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_christabel +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_christabel` is a English model originally trained by Christabel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_christabel_en_5.2.2_3.0_1703876979959.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_christabel_en_5.2.2_3.0_1703876979959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_christabel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_christabel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_christabel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Christabel/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cindy203cc_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cindy203cc_en.md new file mode 100644 index 0000000000000..06037daa0764a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_cindy203cc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cindy203cc DistilBertForSequenceClassification from cindy203cc +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cindy203cc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cindy203cc` is a English model originally trained by cindy203cc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cindy203cc_en_5.2.2_3.0_1703876547890.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cindy203cc_en_5.2.2_3.0_1703876547890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cindy203cc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cindy203cc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cindy203cc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cindy203cc/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_danzter_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_danzter_en.md new file mode 100644 index 0000000000000..0e403604d3d88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_danzter_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_danzter DistilBertForSequenceClassification from DanZter +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_danzter +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_danzter` is a English model originally trained by DanZter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_danzter_en_5.2.2_3.0_1703879864767.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_danzter_en_5.2.2_3.0_1703879864767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_danzter","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_danzter","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_danzter| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DanZter/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_david_whittaker_td_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_david_whittaker_td_en.md new file mode 100644 index 0000000000000..6e6cf012d7b2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_david_whittaker_td_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_david_whittaker_td DistilBertForSequenceClassification from david-whittaker-td +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_david_whittaker_td +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_david_whittaker_td` is a English model originally trained by david-whittaker-td. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_david_whittaker_td_en_5.2.2_3.0_1703883948228.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_david_whittaker_td_en_5.2.2_3.0_1703883948228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_david_whittaker_td","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_david_whittaker_td","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_david_whittaker_td| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/david-whittaker-td/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_davidlandeo_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_davidlandeo_en.md new file mode 100644 index 0000000000000..0d5a8d05cc9a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_davidlandeo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_davidlandeo DistilBertForSequenceClassification from davidlandeo +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_davidlandeo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_davidlandeo` is a English model originally trained by davidlandeo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davidlandeo_en_5.2.2_3.0_1703892163481.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davidlandeo_en_5.2.2_3.0_1703892163481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davidlandeo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davidlandeo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_davidlandeo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/davidlandeo/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_deid_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_deid_en.md new file mode 100644 index 0000000000000..9dea543e6be60 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_deid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_deid DistilBertForSequenceClassification from zsolt-pai +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_deid +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_deid` is a English model originally trained by zsolt-pai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_deid_en_5.2.2_3.0_1703873021110.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_deid_en_5.2.2_3.0_1703873021110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_deid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_deid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_deid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zsolt-pai/finetuning-sentiment-model-3000-samples-deid \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_dgalik_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_dgalik_en.md new file mode 100644 index 0000000000000..53054c11b4017 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_dgalik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_dgalik DistilBertForSequenceClassification from dgalik +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_dgalik +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dgalik` is a English model originally trained by dgalik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dgalik_en_5.2.2_3.0_1703875207007.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dgalik_en_5.2.2_3.0_1703875207007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dgalik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dgalik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_dgalik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dgalik/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_eligabel_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_eligabel_en.md new file mode 100644 index 0000000000000..6cea88adf4b1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_eligabel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_eligabel DistilBertForSequenceClassification from eligabel +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_eligabel +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_eligabel` is a English model originally trained by eligabel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eligabel_en_5.2.2_3.0_1703875907736.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eligabel_en_5.2.2_3.0_1703875907736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eligabel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eligabel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_eligabel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eligabel/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_emperkxs_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_emperkxs_en.md new file mode 100644 index 0000000000000..feae3c2bdd01a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_emperkxs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_emperkxs DistilBertForSequenceClassification from emperkxs +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_emperkxs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_emperkxs` is a English model originally trained by emperkxs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_emperkxs_en_5.2.2_3.0_1703861132619.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_emperkxs_en_5.2.2_3.0_1703861132619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_emperkxs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_emperkxs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_emperkxs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/emperkxs/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_enriquemarenco_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_enriquemarenco_en.md new file mode 100644 index 0000000000000..c30174b4ceaf8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_enriquemarenco_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_enriquemarenco DistilBertForSequenceClassification from enriquemarenco +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_enriquemarenco +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_enriquemarenco` is a English model originally trained by enriquemarenco. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_enriquemarenco_en_5.2.2_3.0_1703875120618.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_enriquemarenco_en_5.2.2_3.0_1703875120618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_enriquemarenco","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_enriquemarenco","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_enriquemarenco| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/enriquemarenco/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_feryeell_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_feryeell_en.md new file mode 100644 index 0000000000000..59026859954fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_feryeell_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_feryeell DistilBertForSequenceClassification from feryeell +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_feryeell +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_feryeell` is a English model originally trained by feryeell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_feryeell_en_5.2.2_3.0_1703872454934.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_feryeell_en_5.2.2_3.0_1703872454934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_feryeell","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_feryeell","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_feryeell| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/feryeell/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_flowfree_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_flowfree_en.md new file mode 100644 index 0000000000000..5110eb5543a24 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_flowfree_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_flowfree DistilBertForSequenceClassification from flowfree +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_flowfree +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_flowfree` is a English model originally trained by flowfree. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_flowfree_en_5.2.2_3.0_1703863230216.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_flowfree_en_5.2.2_3.0_1703863230216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_flowfree","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_flowfree","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_flowfree| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/flowfree/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_fourthbrain_demo_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_fourthbrain_demo_en.md new file mode 100644 index 0000000000000..a5e3d8eb2026e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_fourthbrain_demo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_fourthbrain_demo DistilBertForSequenceClassification from fourthbrain-demo +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_fourthbrain_demo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_fourthbrain_demo` is a English model originally trained by fourthbrain-demo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_fourthbrain_demo_en_5.2.2_3.0_1703879009153.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_fourthbrain_demo_en_5.2.2_3.0_1703879009153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_fourthbrain_demo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_fourthbrain_demo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_fourthbrain_demo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fourthbrain-demo/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_french_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_french_en.md new file mode 100644 index 0000000000000..9d4284089aa0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_french_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_french DistilBertForSequenceClassification from zboxi7 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_french +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_french` is a English model originally trained by zboxi7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_french_en_5.2.2_3.0_1703869506650.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_french_en_5.2.2_3.0_1703869506650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_french","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_french","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_french| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zboxi7/finetuning-sentiment-model-3000-samples_fr \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_frslee_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_frslee_en.md new file mode 100644 index 0000000000000..21f9ae97d761e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_frslee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_frslee DistilBertForSequenceClassification from frslee +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_frslee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_frslee` is a English model originally trained by frslee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_frslee_en_5.2.2_3.0_1703891514809.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_frslee_en_5.2.2_3.0_1703891514809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_frslee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_frslee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_frslee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/frslee/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_furyhawk_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_furyhawk_en.md new file mode 100644 index 0000000000000..cb856534f0414 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_furyhawk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_furyhawk DistilBertForSequenceClassification from furyhawk +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_furyhawk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_furyhawk` is a English model originally trained by furyhawk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_furyhawk_en_5.2.2_3.0_1703886404527.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_furyhawk_en_5.2.2_3.0_1703886404527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_furyhawk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_furyhawk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_furyhawk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/furyhawk/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_garfieldgx_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_garfieldgx_en.md new file mode 100644 index 0000000000000..663d8e6d29a6a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_garfieldgx_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_garfieldgx DistilBertForSequenceClassification from Garfieldgx +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_garfieldgx +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_garfieldgx` is a English model originally trained by Garfieldgx. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_garfieldgx_en_5.2.2_3.0_1703886794092.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_garfieldgx_en_5.2.2_3.0_1703886794092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_garfieldgx","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_garfieldgx","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_garfieldgx| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Garfieldgx/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_glundquist_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_glundquist_en.md new file mode 100644 index 0000000000000..ddc1b351eeeb3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_glundquist_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_glundquist DistilBertForSequenceClassification from glundquist +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_glundquist +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_glundquist` is a English model originally trained by glundquist. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_glundquist_en_5.2.2_3.0_1703880609188.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_glundquist_en_5.2.2_3.0_1703880609188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_glundquist","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_glundquist","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_glundquist| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/glundquist/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_habibmatar_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_habibmatar_en.md new file mode 100644 index 0000000000000..fde3ac47066f7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_habibmatar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_habibmatar DistilBertForSequenceClassification from habibmatar +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_habibmatar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_habibmatar` is a English model originally trained by habibmatar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_habibmatar_en_5.2.2_3.0_1703876847810.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_habibmatar_en_5.2.2_3.0_1703876847810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_habibmatar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_habibmatar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_habibmatar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/habibmatar/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hadious15_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hadious15_en.md new file mode 100644 index 0000000000000..cc785be1dc310 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hadious15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hadious15 DistilBertForSequenceClassification from Hadious15 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hadious15 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hadious15` is a English model originally trained by Hadious15. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hadious15_en_5.2.2_3.0_1703866390008.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hadious15_en_5.2.2_3.0_1703866390008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hadious15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hadious15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hadious15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Hadious15/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hafezyari_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hafezyari_en.md new file mode 100644 index 0000000000000..f3aad778d7aef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hafezyari_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hafezyari DistilBertForSequenceClassification from HafezYari +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hafezyari +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hafezyari` is a English model originally trained by HafezYari. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hafezyari_en_5.2.2_3.0_1703861428465.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hafezyari_en_5.2.2_3.0_1703861428465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hafezyari","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hafezyari","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hafezyari| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HafezYari/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hazerbean_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hazerbean_en.md new file mode 100644 index 0000000000000..06ee0c52f61c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hazerbean_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hazerbean DistilBertForSequenceClassification from hazerbean +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hazerbean +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hazerbean` is a English model originally trained by hazerbean. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hazerbean_en_5.2.2_3.0_1703869035324.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hazerbean_en_5.2.2_3.0_1703869035324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hazerbean","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hazerbean","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hazerbean| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hazerbean/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hdsmathew_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hdsmathew_en.md new file mode 100644 index 0000000000000..b99ac432e50ab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hdsmathew_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hdsmathew DistilBertForSequenceClassification from hdsmathew +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hdsmathew +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hdsmathew` is a English model originally trained by hdsmathew. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hdsmathew_en_5.2.2_3.0_1703873593574.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hdsmathew_en_5.2.2_3.0_1703873593574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hdsmathew","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hdsmathew","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hdsmathew| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hdsmathew/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_heyal_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_heyal_en.md new file mode 100644 index 0000000000000..84eeb6a278017 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_heyal_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_heyal DistilBertForSequenceClassification from heyal +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_heyal +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_heyal` is a English model originally trained by heyal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_heyal_en_5.2.2_3.0_1703881644994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_heyal_en_5.2.2_3.0_1703881644994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_heyal","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_heyal","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_heyal| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/heyal/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugmaik_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugmaik_en.md new file mode 100644 index 0000000000000..e99bf0ff05816 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugmaik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hugmaik DistilBertForSequenceClassification from HugMaik +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hugmaik +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hugmaik` is a English model originally trained by HugMaik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugmaik_en_5.2.2_3.0_1703867623502.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugmaik_en_5.2.2_3.0_1703867623502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugmaik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugmaik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hugmaik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HugMaik/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugogolastico_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugogolastico_en.md new file mode 100644 index 0000000000000..f5c736be438e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_hugogolastico_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hugogolastico DistilBertForSequenceClassification from hugogolastico +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hugogolastico +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hugogolastico` is a English model originally trained by hugogolastico. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugogolastico_en_5.2.2_3.0_1703887740798.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugogolastico_en_5.2.2_3.0_1703887740798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugogolastico","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugogolastico","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hugogolastico| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hugogolastico/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_iapetusbob_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_iapetusbob_en.md new file mode 100644 index 0000000000000..870206efd4b7e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_iapetusbob_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_iapetusbob DistilBertForSequenceClassification from iapetusbob +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_iapetusbob +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_iapetusbob` is a English model originally trained by iapetusbob. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iapetusbob_en_5.2.2_3.0_1703884539255.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iapetusbob_en_5.2.2_3.0_1703884539255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_iapetusbob","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_iapetusbob","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_iapetusbob| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/iapetusbob/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ilex_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ilex_en.md new file mode 100644 index 0000000000000..2453188faa1b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ilex_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ilex DistilBertForSequenceClassification from ilex +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ilex +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ilex` is a English model originally trained by ilex. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ilex_en_5.2.2_3.0_1703880658177.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ilex_en_5.2.2_3.0_1703880658177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ilex","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ilex","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ilex| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ilex/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jadsalameh31_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jadsalameh31_en.md new file mode 100644 index 0000000000000..57a1d1a31370d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jadsalameh31_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jadsalameh31 DistilBertForSequenceClassification from Jadsalameh31 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jadsalameh31 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jadsalameh31` is a English model originally trained by Jadsalameh31. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jadsalameh31_en_5.2.2_3.0_1703864058377.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jadsalameh31_en_5.2.2_3.0_1703864058377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jadsalameh31","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jadsalameh31","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jadsalameh31| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Jadsalameh31/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jessicadahdouh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jessicadahdouh_en.md new file mode 100644 index 0000000000000..bbf6345c453f5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jessicadahdouh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jessicadahdouh DistilBertForSequenceClassification from jessicadahdouh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jessicadahdouh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jessicadahdouh` is a English model originally trained by jessicadahdouh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jessicadahdouh_en_5.2.2_3.0_1703866059741.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jessicadahdouh_en_5.2.2_3.0_1703866059741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jessicadahdouh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jessicadahdouh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jessicadahdouh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jessicadahdouh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jhart96_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jhart96_en.md new file mode 100644 index 0000000000000..2a3e5bd90cd40 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jhart96_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jhart96 DistilBertForSequenceClassification from JHart96 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jhart96 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jhart96` is a English model originally trained by JHart96. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jhart96_en_5.2.2_3.0_1703892671607.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jhart96_en_5.2.2_3.0_1703892671607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jhart96","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jhart96","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jhart96| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JHart96/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jihan_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jihan_en.md new file mode 100644 index 0000000000000..9f6875a4641c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jihan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jihan DistilBertForSequenceClassification from Jihan +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jihan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jihan` is a English model originally trained by Jihan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jihan_en_5.2.2_3.0_1703874634379.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jihan_en_5.2.2_3.0_1703874634379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jihan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jihan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jihan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Jihan/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jinhqian_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jinhqian_en.md new file mode 100644 index 0000000000000..bdfde5f8c05b6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jinhqian_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jinhqian DistilBertForSequenceClassification from jinhqian +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jinhqian +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jinhqian` is a English model originally trained by jinhqian. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jinhqian_en_5.2.2_3.0_1703892130005.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jinhqian_en_5.2.2_3.0_1703892130005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jinhqian","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jinhqian","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jinhqian| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jinhqian/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmnew_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmnew_en.md new file mode 100644 index 0000000000000..293c75b0f848a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmnew_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jmnew DistilBertForSequenceClassification from jmunoz +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jmnew +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jmnew` is a English model originally trained by jmunoz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jmnew_en_5.2.2_3.0_1703891825337.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jmnew_en_5.2.2_3.0_1703891825337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jmnew","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jmnew","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jmnew| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jmunoz/finetuning-sentiment-model-3000-samples_jmnew \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmunoz_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmunoz_en.md new file mode 100644 index 0000000000000..53bb0d75a18af --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jmunoz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jmunoz DistilBertForSequenceClassification from jmunoz +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jmunoz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jmunoz` is a English model originally trained by jmunoz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jmunoz_en_5.2.2_3.0_1703874803862.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jmunoz_en_5.2.2_3.0_1703874803862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jmunoz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jmunoz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jmunoz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jmunoz/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jpalojarvi_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jpalojarvi_en.md new file mode 100644 index 0000000000000..bc11ab3f56d80 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_jpalojarvi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_jpalojarvi DistilBertForSequenceClassification from jpalojarvi +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_jpalojarvi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jpalojarvi` is a English model originally trained by jpalojarvi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jpalojarvi_en_5.2.2_3.0_1703872887843.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jpalojarvi_en_5.2.2_3.0_1703872887843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jpalojarvi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_jpalojarvi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_jpalojarvi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jpalojarvi/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_js21_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_js21_en.md new file mode 100644 index 0000000000000..a1d2f4fa3c4b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_js21_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_js21 DistilBertForSequenceClassification from JS21 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_js21 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_js21` is a English model originally trained by JS21. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_js21_en_5.2.2_3.0_1703882457449.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_js21_en_5.2.2_3.0_1703882457449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_js21","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_js21","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_js21| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JS21/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_justsaga_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_justsaga_en.md new file mode 100644 index 0000000000000..4a950964488dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_justsaga_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_justsaga DistilBertForSequenceClassification from JustSaga +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_justsaga +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_justsaga` is a English model originally trained by JustSaga. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_justsaga_en_5.2.2_3.0_1703879952812.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_justsaga_en_5.2.2_3.0_1703879952812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_justsaga","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_justsaga","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_justsaga| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JustSaga/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_k3nneth_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_k3nneth_en.md new file mode 100644 index 0000000000000..10d7e13c8210d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_k3nneth_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_k3nneth DistilBertForSequenceClassification from k3nneth +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_k3nneth +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_k3nneth` is a English model originally trained by k3nneth. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_k3nneth_en_5.2.2_3.0_1703866215013.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_k3nneth_en_5.2.2_3.0_1703866215013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_k3nneth","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_k3nneth","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_k3nneth| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/k3nneth/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karimd188_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karimd188_en.md new file mode 100644 index 0000000000000..7ac2b630c7dcf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karimd188_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_karimd188 DistilBertForSequenceClassification from karimd188 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_karimd188 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_karimd188` is a English model originally trained by karimd188. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karimd188_en_5.2.2_3.0_1703874370522.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karimd188_en_5.2.2_3.0_1703874370522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_karimd188","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_karimd188","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_karimd188| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/karimd188/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karnezis_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karnezis_en.md new file mode 100644 index 0000000000000..9f42582d08e22 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_karnezis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_karnezis DistilBertForSequenceClassification from Karnezis +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_karnezis +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_karnezis` is a English model originally trained by Karnezis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karnezis_en_5.2.2_3.0_1703862914964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karnezis_en_5.2.2_3.0_1703862914964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_karnezis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_karnezis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_karnezis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Karnezis/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kasturi135_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kasturi135_en.md new file mode 100644 index 0000000000000..30959c1749bb1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kasturi135_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kasturi135 DistilBertForSequenceClassification from Kasturi135 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kasturi135 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kasturi135` is a English model originally trained by Kasturi135. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kasturi135_en_5.2.2_3.0_1703869180941.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kasturi135_en_5.2.2_3.0_1703869180941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kasturi135","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kasturi135","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kasturi135| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Kasturi135/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_keerthan_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_keerthan_en.md new file mode 100644 index 0000000000000..287b83970110a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_keerthan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_keerthan DistilBertForSequenceClassification from Keerthan +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_keerthan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_keerthan` is a English model originally trained by Keerthan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_keerthan_en_5.2.2_3.0_1703891992524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_keerthan_en_5.2.2_3.0_1703891992524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_keerthan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_keerthan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_keerthan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Keerthan/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khadija2662002_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khadija2662002_en.md new file mode 100644 index 0000000000000..33c527782e5a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khadija2662002_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_khadija2662002 DistilBertForSequenceClassification from khadija2662002 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_khadija2662002 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_khadija2662002` is a English model originally trained by khadija2662002. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khadija2662002_en_5.2.2_3.0_1703880393688.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khadija2662002_en_5.2.2_3.0_1703880393688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khadija2662002","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khadija2662002","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_khadija2662002| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/khadija2662002/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khaled20215_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khaled20215_en.md new file mode 100644 index 0000000000000..b1fad35145a83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khaled20215_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_khaled20215 DistilBertForSequenceClassification from khaled20215 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_khaled20215 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_khaled20215` is a English model originally trained by khaled20215. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khaled20215_en_5.2.2_3.0_1703890971702.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khaled20215_en_5.2.2_3.0_1703890971702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khaled20215","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khaled20215","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_khaled20215| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/khaled20215/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khazix0827_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khazix0827_en.md new file mode 100644 index 0000000000000..cbdd534866c0c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khazix0827_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_khazix0827 DistilBertForSequenceClassification from KhaZix0827 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_khazix0827 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_khazix0827` is a English model originally trained by KhaZix0827. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khazix0827_en_5.2.2_3.0_1703881040107.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khazix0827_en_5.2.2_3.0_1703881040107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khazix0827","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khazix0827","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_khazix0827| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/KhaZix0827/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khodor_hassoun_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khodor_hassoun_en.md new file mode 100644 index 0000000000000..a768b41b6d63f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_khodor_hassoun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_khodor_hassoun DistilBertForSequenceClassification from Khodor-Hassoun +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_khodor_hassoun +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_khodor_hassoun` is a English model originally trained by Khodor-Hassoun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khodor_hassoun_en_5.2.2_3.0_1703887099571.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_khodor_hassoun_en_5.2.2_3.0_1703887099571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khodor_hassoun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_khodor_hassoun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_khodor_hassoun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Khodor-Hassoun/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_klarazetkin_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_klarazetkin_en.md new file mode 100644 index 0000000000000..d83d8348dc626 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_klarazetkin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_klarazetkin DistilBertForSequenceClassification from klarazetkin +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_klarazetkin +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_klarazetkin` is a English model originally trained by klarazetkin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klarazetkin_en_5.2.2_3.0_1703888408544.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klarazetkin_en_5.2.2_3.0_1703888408544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_klarazetkin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_klarazetkin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_klarazetkin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/klarazetkin/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_krisna_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_krisna_en.md new file mode 100644 index 0000000000000..214203311d778 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_krisna_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_krisna DistilBertForSequenceClassification from Krisna +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_krisna +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_krisna` is a English model originally trained by Krisna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_krisna_en_5.2.2_3.0_1703864870925.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_krisna_en_5.2.2_3.0_1703864870925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_krisna","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_krisna","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_krisna| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Krisna/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kriszhou_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kriszhou_en.md new file mode 100644 index 0000000000000..f89b15c94eda1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kriszhou_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kriszhou DistilBertForSequenceClassification from kriszhou +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kriszhou +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kriszhou` is a English model originally trained by kriszhou. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kriszhou_en_5.2.2_3.0_1703883166533.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kriszhou_en_5.2.2_3.0_1703883166533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kriszhou","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kriszhou","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kriszhou| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kriszhou/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kwdev2000_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kwdev2000_en.md new file mode 100644 index 0000000000000..c9e5dcdada7c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_kwdev2000_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kwdev2000 DistilBertForSequenceClassification from kwdev2000 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kwdev2000 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kwdev2000` is a English model originally trained by kwdev2000. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kwdev2000_en_5.2.2_3.0_1703879302869.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kwdev2000_en_5.2.2_3.0_1703879302869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kwdev2000","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kwdev2000","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kwdev2000| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kwdev2000/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_leolyu_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_leolyu_en.md new file mode 100644 index 0000000000000..90d9310ff78e2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_leolyu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_leolyu DistilBertForSequenceClassification from LeoLyu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_leolyu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_leolyu` is a English model originally trained by LeoLyu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_leolyu_en_5.2.2_3.0_1703880005472.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_leolyu_en_5.2.2_3.0_1703880005472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_leolyu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_leolyu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_leolyu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LeoLyu/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lianzhang_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lianzhang_en.md new file mode 100644 index 0000000000000..1f532baf4d664 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lianzhang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_lianzhang DistilBertForSequenceClassification from LianZhang +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_lianzhang +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lianzhang` is a English model originally trained by LianZhang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lianzhang_en_5.2.2_3.0_1703885891926.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lianzhang_en_5.2.2_3.0_1703885891926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lianzhang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lianzhang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_lianzhang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LianZhang/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lilykaw_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lilykaw_en.md new file mode 100644 index 0000000000000..43d3f334ed375 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_lilykaw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_lilykaw DistilBertForSequenceClassification from lilykaw +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_lilykaw +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lilykaw` is a English model originally trained by lilykaw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilykaw_en_5.2.2_3.0_1703883272989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilykaw_en_5.2.2_3.0_1703883272989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lilykaw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lilykaw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_lilykaw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lilykaw/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_luccazen_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_luccazen_en.md new file mode 100644 index 0000000000000..cc64252f5f7d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_luccazen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_luccazen DistilBertForSequenceClassification from luccazen +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_luccazen +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_luccazen` is a English model originally trained by luccazen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_luccazen_en_5.2.2_3.0_1703863243601.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_luccazen_en_5.2.2_3.0_1703863243601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_luccazen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_luccazen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_luccazen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/luccazen/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mariannadiab_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mariannadiab_en.md new file mode 100644 index 0000000000000..ec1a64d9b6b96 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mariannadiab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mariannadiab DistilBertForSequenceClassification from mariannadiab +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mariannadiab +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mariannadiab` is a English model originally trained by mariannadiab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mariannadiab_en_5.2.2_3.0_1703877789826.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mariannadiab_en_5.2.2_3.0_1703877789826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mariannadiab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mariannadiab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mariannadiab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mariannadiab/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_maritamatta_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_maritamatta_en.md new file mode 100644 index 0000000000000..c1fa5a3e15ee2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_maritamatta_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_maritamatta DistilBertForSequenceClassification from maritamatta +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_maritamatta +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_maritamatta` is a English model originally trained by maritamatta. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_maritamatta_en_5.2.2_3.0_1703883314412.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_maritamatta_en_5.2.2_3.0_1703883314412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_maritamatta","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_maritamatta","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_maritamatta| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/maritamatta/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_martinsenden_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_martinsenden_en.md new file mode 100644 index 0000000000000..c82db3902c3f0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_martinsenden_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_martinsenden DistilBertForSequenceClassification from martinsenden +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_martinsenden +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_martinsenden` is a English model originally trained by martinsenden. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_martinsenden_en_5.2.2_3.0_1703876494951.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_martinsenden_en_5.2.2_3.0_1703876494951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_martinsenden","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_martinsenden","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_martinsenden| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/martinsenden/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mayank_01_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mayank_01_en.md new file mode 100644 index 0000000000000..edb8fa38b0114 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mayank_01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mayank_01 DistilBertForSequenceClassification from mayank-01 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mayank_01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mayank_01` is a English model originally trained by mayank-01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mayank_01_en_5.2.2_3.0_1703882757612.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mayank_01_en_5.2.2_3.0_1703882757612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mayank_01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mayank_01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mayank_01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mayank-01/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mgo96_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mgo96_en.md new file mode 100644 index 0000000000000..0b4dd0366f64c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mgo96_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mgo96 DistilBertForSequenceClassification from Mgo96 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mgo96 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mgo96` is a English model originally trained by Mgo96. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mgo96_en_5.2.2_3.0_1703887740702.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mgo96_en_5.2.2_3.0_1703887740702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mgo96","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mgo96","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mgo96| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Mgo96/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mikebs_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mikebs_en.md new file mode 100644 index 0000000000000..29d38c2218614 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mikebs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mikebs DistilBertForSequenceClassification from mikebs +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mikebs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mikebs` is a English model originally trained by mikebs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mikebs_en_5.2.2_3.0_1703887441657.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mikebs_en_5.2.2_3.0_1703887441657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mikebs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mikebs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mikebs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mikebs/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mkhairil_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mkhairil_en.md new file mode 100644 index 0000000000000..035d51bf3df75 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mkhairil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mkhairil DistilBertForSequenceClassification from mkhairil +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mkhairil +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mkhairil` is a English model originally trained by mkhairil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mkhairil_en_5.2.2_3.0_1703887224208.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mkhairil_en_5.2.2_3.0_1703887224208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mkhairil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mkhairil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mkhairil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mkhairil/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlkrusch_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlkrusch_en.md new file mode 100644 index 0000000000000..3c26b5095936c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlkrusch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mlkrusch DistilBertForSequenceClassification from mlkrusch +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mlkrusch +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mlkrusch` is a English model originally trained by mlkrusch. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mlkrusch_en_5.2.2_3.0_1703880567415.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mlkrusch_en_5.2.2_3.0_1703880567415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mlkrusch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mlkrusch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mlkrusch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mlkrusch/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlstudent_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlstudent_en.md new file mode 100644 index 0000000000000..f174606e30f72 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mlstudent_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mlstudent DistilBertForSequenceClassification from mlstudent +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mlstudent +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mlstudent` is a English model originally trained by mlstudent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mlstudent_en_5.2.2_3.0_1703866236774.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mlstudent_en_5.2.2_3.0_1703866236774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mlstudent","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mlstudent","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mlstudent| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mlstudent/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mnarasim_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mnarasim_en.md new file mode 100644 index 0000000000000..549cf412403be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mnarasim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mnarasim DistilBertForSequenceClassification from mnarasim +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mnarasim +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mnarasim` is a English model originally trained by mnarasim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mnarasim_en_5.2.2_3.0_1703888246090.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mnarasim_en_5.2.2_3.0_1703888246090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mnarasim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mnarasim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mnarasim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mnarasim/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mohamad_nasser_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mohamad_nasser_en.md new file mode 100644 index 0000000000000..d2becedb6500e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mohamad_nasser_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mohamad_nasser DistilBertForSequenceClassification from Mohamad-Nasser +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mohamad_nasser +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mohamad_nasser` is a English model originally trained by Mohamad-Nasser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mohamad_nasser_en_5.2.2_3.0_1703862785226.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mohamad_nasser_en_5.2.2_3.0_1703862785226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mohamad_nasser","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mohamad_nasser","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mohamad_nasser| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Mohamad-Nasser/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_monteiro64_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_monteiro64_en.md new file mode 100644 index 0000000000000..b34b87d71259d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_monteiro64_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_monteiro64 DistilBertForSequenceClassification from monteiro64 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_monteiro64 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_monteiro64` is a English model originally trained by monteiro64. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_monteiro64_en_5.2.2_3.0_1703885113918.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_monteiro64_en_5.2.2_3.0_1703885113918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_monteiro64","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_monteiro64","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_monteiro64| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/monteiro64/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_moonzi_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_moonzi_en.md new file mode 100644 index 0000000000000..df684317ba159 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_moonzi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_moonzi DistilBertForSequenceClassification from moonzi +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_moonzi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_moonzi` is a English model originally trained by moonzi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_moonzi_en_5.2.2_3.0_1703865773179.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_moonzi_en_5.2.2_3.0_1703865773179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_moonzi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_moonzi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_moonzi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/moonzi/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mscho90_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mscho90_en.md new file mode 100644 index 0000000000000..92f57bd20e689 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_mscho90_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mscho90 DistilBertForSequenceClassification from mscho90 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mscho90 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mscho90` is a English model originally trained by mscho90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mscho90_en_5.2.2_3.0_1703892520686.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mscho90_en_5.2.2_3.0_1703892520686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mscho90","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mscho90","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mscho90| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mscho90/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nabdoun_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nabdoun_en.md new file mode 100644 index 0000000000000..2c1000741aea8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nabdoun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nabdoun DistilBertForSequenceClassification from Nabdoun +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nabdoun +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nabdoun` is a English model originally trained by Nabdoun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nabdoun_en_5.2.2_3.0_1703866559189.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nabdoun_en_5.2.2_3.0_1703866559189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nabdoun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nabdoun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nabdoun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Nabdoun/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nageshwari_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nageshwari_en.md new file mode 100644 index 0000000000000..4f2e465a7952c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nageshwari_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nageshwari DistilBertForSequenceClassification from Nageshwari +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nageshwari +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nageshwari` is a English model originally trained by Nageshwari. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nageshwari_en_5.2.2_3.0_1703881807651.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nageshwari_en_5.2.2_3.0_1703881807651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nageshwari","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nageshwari","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nageshwari| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Nageshwari/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_naveed3797_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_naveed3797_en.md new file mode 100644 index 0000000000000..460ecb72fa440 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_naveed3797_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_naveed3797 DistilBertForSequenceClassification from naveed3797 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_naveed3797 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_naveed3797` is a English model originally trained by naveed3797. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_naveed3797_en_5.2.2_3.0_1703870771790.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_naveed3797_en_5.2.2_3.0_1703870771790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_naveed3797","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_naveed3797","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_naveed3797| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/naveed3797/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neojex_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neojex_en.md new file mode 100644 index 0000000000000..eccdd3693d7c4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neojex_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_neojex DistilBertForSequenceClassification from neojex +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_neojex +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_neojex` is a English model originally trained by neojex. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neojex_en_5.2.2_3.0_1703887840805.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neojex_en_5.2.2_3.0_1703887840805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_neojex","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_neojex","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_neojex| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/neojex/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nepal_bhasa_en.md new file mode 100644 index 0000000000000..0a37173d0f466 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nepal_bhasa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nepal_bhasa DistilBertForSequenceClassification from OnYourLeft +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nepal_bhasa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nepal_bhasa` is a English model originally trained by OnYourLeft. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nepal_bhasa_en_5.2.2_3.0_1703885902844.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nepal_bhasa_en_5.2.2_3.0_1703885902844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nepal_bhasa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nepal_bhasa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nepal_bhasa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/OnYourLeft/finetuning-sentiment-model-3000-samples-new \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neverst_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neverst_en.md new file mode 100644 index 0000000000000..ab8e4adc8f0d6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_neverst_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_neverst DistilBertForSequenceClassification from Neverst +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_neverst +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_neverst` is a English model originally trained by Neverst. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neverst_en_5.2.2_3.0_1703883754509.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neverst_en_5.2.2_3.0_1703883754509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_neverst","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_neverst","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_neverst| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Neverst/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nimrita_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nimrita_en.md new file mode 100644 index 0000000000000..9fd58a03f2219 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_nimrita_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nimrita DistilBertForSequenceClassification from nimrita +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nimrita +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nimrita` is a English model originally trained by nimrita. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nimrita_en_5.2.2_3.0_1703884799620.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nimrita_en_5.2.2_3.0_1703884799620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nimrita","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nimrita","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nimrita| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nimrita/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ocm_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ocm_en.md new file mode 100644 index 0000000000000..03db3d937cb64 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ocm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ocm DistilBertForSequenceClassification from ocm +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ocm +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ocm` is a English model originally trained by ocm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ocm_en_5.2.2_3.0_1703869670734.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ocm_en_5.2.2_3.0_1703869670734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ocm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ocm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ocm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ocm/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarbanat_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarbanat_en.md new file mode 100644 index 0000000000000..b2da3a367db40 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarbanat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_omarbanat DistilBertForSequenceClassification from omarbanat +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_omarbanat +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_omarbanat` is a English model originally trained by omarbanat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_omarbanat_en_5.2.2_3.0_1703861547588.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_omarbanat_en_5.2.2_3.0_1703861547588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_omarbanat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_omarbanat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_omarbanat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/omarbanat/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarshalabi_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarshalabi_en.md new file mode 100644 index 0000000000000..fa55e6e13815c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_omarshalabi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_omarshalabi DistilBertForSequenceClassification from OmarShalabi +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_omarshalabi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_omarshalabi` is a English model originally trained by OmarShalabi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_omarshalabi_en_5.2.2_3.0_1703892012236.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_omarshalabi_en_5.2.2_3.0_1703892012236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_omarshalabi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_omarshalabi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_omarshalabi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/OmarShalabi/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_onvickirk_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_onvickirk_en.md new file mode 100644 index 0000000000000..dca3c0cc93900 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_onvickirk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_onvickirk DistilBertForSequenceClassification from onvickirk +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_onvickirk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_onvickirk` is a English model originally trained by onvickirk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_onvickirk_en_5.2.2_3.0_1703874387233.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_onvickirk_en_5.2.2_3.0_1703874387233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_onvickirk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_onvickirk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_onvickirk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/onvickirk/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajagopal1992_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajagopal1992_en.md new file mode 100644 index 0000000000000..7c2555f6cc087 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajagopal1992_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_prajagopal1992 DistilBertForSequenceClassification from prajagopal1992 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_prajagopal1992 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_prajagopal1992` is a English model originally trained by prajagopal1992. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_prajagopal1992_en_5.2.2_3.0_1703868071899.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_prajagopal1992_en_5.2.2_3.0_1703868071899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_prajagopal1992","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_prajagopal1992","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_prajagopal1992| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/prajagopal1992/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajawals06_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajawals06_en.md new file mode 100644 index 0000000000000..c43ae19adf2c8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_prajawals06_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_prajawals06 DistilBertForSequenceClassification from Prajawals06 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_prajawals06 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_prajawals06` is a English model originally trained by Prajawals06. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_prajawals06_en_5.2.2_3.0_1703877170996.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_prajawals06_en_5.2.2_3.0_1703877170996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_prajawals06","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_prajawals06","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_prajawals06| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Prajawals06/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_praptishadmaan_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_praptishadmaan_en.md new file mode 100644 index 0000000000000..1a902eb53b2a2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_praptishadmaan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_praptishadmaan DistilBertForSequenceClassification from praptishadmaan +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_praptishadmaan +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_praptishadmaan` is a English model originally trained by praptishadmaan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_praptishadmaan_en_5.2.2_3.0_1703874500511.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_praptishadmaan_en_5.2.2_3.0_1703874500511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_praptishadmaan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_praptishadmaan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_praptishadmaan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/praptishadmaan/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_qinzhen4_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_qinzhen4_en.md new file mode 100644 index 0000000000000..322ae91635486 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_qinzhen4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_qinzhen4 DistilBertForSequenceClassification from qinzhen4 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_qinzhen4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_qinzhen4` is a English model originally trained by qinzhen4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qinzhen4_en_5.2.2_3.0_1703889968945.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qinzhen4_en_5.2.2_3.0_1703889968945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qinzhen4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qinzhen4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_qinzhen4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/qinzhen4/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhasundaram_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhasundaram_en.md new file mode 100644 index 0000000000000..742cd36aa3ccc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhasundaram_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_radhasundaram DistilBertForSequenceClassification from radhasundaram +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_radhasundaram +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_radhasundaram` is a English model originally trained by radhasundaram. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_radhasundaram_en_5.2.2_3.0_1703881392777.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_radhasundaram_en_5.2.2_3.0_1703881392777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_radhasundaram","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_radhasundaram","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_radhasundaram| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/radhasundaram/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhe2205_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhe2205_en.md new file mode 100644 index 0000000000000..76e087407af44 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_radhe2205_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_radhe2205 DistilBertForSequenceClassification from radhe2205 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_radhe2205 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_radhe2205` is a English model originally trained by radhe2205. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_radhe2205_en_5.2.2_3.0_1703885451092.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_radhe2205_en_5.2.2_3.0_1703885451092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_radhe2205","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_radhe2205","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_radhe2205| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/radhe2205/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rahuldebdas79_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rahuldebdas79_en.md new file mode 100644 index 0000000000000..fc74013342c65 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rahuldebdas79_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rahuldebdas79 DistilBertForSequenceClassification from rahuldebdas79 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rahuldebdas79 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rahuldebdas79` is a English model originally trained by rahuldebdas79. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rahuldebdas79_en_5.2.2_3.0_1703875323384.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rahuldebdas79_en_5.2.2_3.0_1703875323384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rahuldebdas79","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rahuldebdas79","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rahuldebdas79| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rahuldebdas79/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ramytheengineer_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ramytheengineer_en.md new file mode 100644 index 0000000000000..2bfb26a85aeb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ramytheengineer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ramytheengineer DistilBertForSequenceClassification from RamyTheEngineer +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ramytheengineer +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ramytheengineer` is a English model originally trained by RamyTheEngineer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramytheengineer_en_5.2.2_3.0_1703871057494.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramytheengineer_en_5.2.2_3.0_1703871057494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ramytheengineer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ramytheengineer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ramytheengineer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RamyTheEngineer/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_raoullghoul_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_raoullghoul_en.md new file mode 100644 index 0000000000000..f9852910768fe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_raoullghoul_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_raoullghoul DistilBertForSequenceClassification from RaoulLghoul +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_raoullghoul +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_raoullghoul` is a English model originally trained by RaoulLghoul. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_raoullghoul_en_5.2.2_3.0_1703870235664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_raoullghoul_en_5.2.2_3.0_1703870235664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_raoullghoul","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_raoullghoul","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_raoullghoul| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RaoulLghoul/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rawmt_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rawmt_en.md new file mode 100644 index 0000000000000..95752ecd3fa42 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rawmt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rawmt DistilBertForSequenceClassification from rawmt +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rawmt +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rawmt` is a English model originally trained by rawmt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rawmt_en_5.2.2_3.0_1703880833256.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rawmt_en_5.2.2_3.0_1703880833256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rawmt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rawmt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rawmt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rawmt/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rayyas03_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rayyas03_en.md new file mode 100644 index 0000000000000..089b036a313c2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rayyas03_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rayyas03 DistilBertForSequenceClassification from RayYas03 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rayyas03 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rayyas03` is a English model originally trained by RayYas03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rayyas03_en_5.2.2_3.0_1703870064542.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rayyas03_en_5.2.2_3.0_1703870064542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rayyas03","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rayyas03","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rayyas03| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RayYas03/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_refaat_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_refaat_en.md new file mode 100644 index 0000000000000..eec6c15fd7277 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_refaat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_refaat DistilBertForSequenceClassification from Refaat +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_refaat +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_refaat` is a English model originally trained by Refaat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_refaat_en_5.2.2_3.0_1703888437601.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_refaat_en_5.2.2_3.0_1703888437601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_refaat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_refaat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_refaat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Refaat/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_riddhi17pawar_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_riddhi17pawar_en.md new file mode 100644 index 0000000000000..a2b821b926edf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_riddhi17pawar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_riddhi17pawar DistilBertForSequenceClassification from riddhi17pawar +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_riddhi17pawar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_riddhi17pawar` is a English model originally trained by riddhi17pawar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_riddhi17pawar_en_5.2.2_3.0_1703876860741.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_riddhi17pawar_en_5.2.2_3.0_1703876860741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_riddhi17pawar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_riddhi17pawar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_riddhi17pawar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/riddhi17pawar/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_romy123_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_romy123_en.md new file mode 100644 index 0000000000000..6f01d041c20d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_romy123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_romy123 DistilBertForSequenceClassification from Romy123 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_romy123 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_romy123` is a English model originally trained by Romy123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_romy123_en_5.2.2_3.0_1703875910950.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_romy123_en_5.2.2_3.0_1703875910950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_romy123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_romy123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_romy123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Romy123/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rrajesh27_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rrajesh27_en.md new file mode 100644 index 0000000000000..6531865c63849 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_rrajesh27_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rrajesh27 DistilBertForSequenceClassification from RRajesh27 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rrajesh27 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rrajesh27` is a English model originally trained by RRajesh27. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rrajesh27_en_5.2.2_3.0_1703868762058.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rrajesh27_en_5.2.2_3.0_1703868762058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rrajesh27","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rrajesh27","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rrajesh27| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RRajesh27/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sabinemh_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sabinemh_en.md new file mode 100644 index 0000000000000..37049089c1112 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sabinemh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sabinemh DistilBertForSequenceClassification from sabinemh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sabinemh +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sabinemh` is a English model originally trained by sabinemh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sabinemh_en_5.2.2_3.0_1703883046191.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sabinemh_en_5.2.2_3.0_1703883046191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sabinemh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sabinemh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sabinemh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sabinemh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sajahmd01_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sajahmd01_en.md new file mode 100644 index 0000000000000..4cc6b71d96620 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sajahmd01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sajahmd01 DistilBertForSequenceClassification from sajahmd01 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sajahmd01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sajahmd01` is a English model originally trained by sajahmd01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sajahmd01_en_5.2.2_3.0_1703873331060.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sajahmd01_en_5.2.2_3.0_1703873331060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sajahmd01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sajahmd01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sajahmd01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sajahmd01/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sania_nawaz_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sania_nawaz_en.md new file mode 100644 index 0000000000000..24d91aa7a0f49 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sania_nawaz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sania_nawaz DistilBertForSequenceClassification from sania-nawaz +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sania_nawaz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sania_nawaz` is a English model originally trained by sania-nawaz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sania_nawaz_en_5.2.2_3.0_1703890427925.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sania_nawaz_en_5.2.2_3.0_1703890427925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sania_nawaz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sania_nawaz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sania_nawaz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sania-nawaz/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_santoshuske_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_santoshuske_en.md new file mode 100644 index 0000000000000..28bb0ded2dfbb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_santoshuske_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_santoshuske DistilBertForSequenceClassification from SantoshUske +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_santoshuske +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_santoshuske` is a English model originally trained by SantoshUske. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_santoshuske_en_5.2.2_3.0_1703875763253.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_santoshuske_en_5.2.2_3.0_1703875763253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_santoshuske","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_santoshuske","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_santoshuske| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SantoshUske/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sara_jabbour_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sara_jabbour_en.md new file mode 100644 index 0000000000000..ea854b4cba494 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sara_jabbour_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sara_jabbour DistilBertForSequenceClassification from Sara-Jabbour +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sara_jabbour +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sara_jabbour` is a English model originally trained by Sara-Jabbour. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sara_jabbour_en_5.2.2_3.0_1703881652570.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sara_jabbour_en_5.2.2_3.0_1703881652570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sara_jabbour","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sara_jabbour","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sara_jabbour| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sara-Jabbour/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_satish860_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_satish860_en.md new file mode 100644 index 0000000000000..2afe7d8c5d061 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_satish860_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_satish860 DistilBertForSequenceClassification from satish860 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_satish860 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_satish860` is a English model originally trained by satish860. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_satish860_en_5.2.2_3.0_1703883430823.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_satish860_en_5.2.2_3.0_1703883430823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_satish860","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_satish860","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_satish860| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/satish860/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_shrikantbhosale_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_shrikantbhosale_en.md new file mode 100644 index 0000000000000..a44c5337e8e68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_shrikantbhosale_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_shrikantbhosale DistilBertForSequenceClassification from shrikantbhosale +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_shrikantbhosale +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_shrikantbhosale` is a English model originally trained by shrikantbhosale. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shrikantbhosale_en_5.2.2_3.0_1703886265707.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shrikantbhosale_en_5.2.2_3.0_1703886265707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shrikantbhosale","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shrikantbhosale","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_shrikantbhosale| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/shrikantbhosale/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_slipoz_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_slipoz_en.md new file mode 100644 index 0000000000000..a189843d06a2b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_slipoz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_slipoz DistilBertForSequenceClassification from slipoz +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_slipoz +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_slipoz` is a English model originally trained by slipoz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_slipoz_en_5.2.2_3.0_1703871863751.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_slipoz_en_5.2.2_3.0_1703871863751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_slipoz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_slipoz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_slipoz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/slipoz/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_snk236_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_snk236_en.md new file mode 100644 index 0000000000000..f21ce6089ca7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_snk236_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_snk236 DistilBertForSequenceClassification from snk236 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_snk236 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_snk236` is a English model originally trained by snk236. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_snk236_en_5.2.2_3.0_1703874661304.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_snk236_en_5.2.2_3.0_1703874661304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_snk236","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_snk236","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_snk236| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/snk236/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sraza007_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sraza007_en.md new file mode 100644 index 0000000000000..ad658f790b8ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sraza007_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sraza007 DistilBertForSequenceClassification from sraza007 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sraza007 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sraza007` is a English model originally trained by sraza007. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sraza007_en_5.2.2_3.0_1703890707865.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sraza007_en_5.2.2_3.0_1703890707865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sraza007","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sraza007","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sraza007| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sraza007/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sudhab1988_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sudhab1988_en.md new file mode 100644 index 0000000000000..72e3d3eae574f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sudhab1988_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sudhab1988 DistilBertForSequenceClassification from sudhab1988 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sudhab1988 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sudhab1988` is a English model originally trained by sudhab1988. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sudhab1988_en_5.2.2_3.0_1703887408255.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sudhab1988_en_5.2.2_3.0_1703887408255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sudhab1988","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sudhab1988","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sudhab1988| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sudhab1988/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sukhmani_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sukhmani_en.md new file mode 100644 index 0000000000000..24314736a5be1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_sukhmani_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sukhmani DistilBertForSequenceClassification from Sukhmani +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sukhmani +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sukhmani` is a English model originally trained by Sukhmani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sukhmani_en_5.2.2_3.0_1703880413495.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sukhmani_en_5.2.2_3.0_1703880413495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sukhmani","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sukhmani","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sukhmani| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sukhmani/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_tester2047_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_tester2047_en.md new file mode 100644 index 0000000000000..4e5dcbb8415f1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_tester2047_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_tester2047 DistilBertForSequenceClassification from tester2047 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_tester2047 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_tester2047` is a English model originally trained by tester2047. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tester2047_en_5.2.2_3.0_1703889050937.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tester2047_en_5.2.2_3.0_1703889050937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tester2047","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tester2047","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_tester2047| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tester2047/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_torchbearer241996_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_torchbearer241996_en.md new file mode 100644 index 0000000000000..c3ec8a44c524c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_torchbearer241996_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_torchbearer241996 DistilBertForSequenceClassification from torchbearer241996 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_torchbearer241996 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_torchbearer241996` is a English model originally trained by torchbearer241996. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_torchbearer241996_en_5.2.2_3.0_1703879120124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_torchbearer241996_en_5.2.2_3.0_1703879120124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_torchbearer241996","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_torchbearer241996","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_torchbearer241996| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/torchbearer241996/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_trainerapi_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_trainerapi_en.md new file mode 100644 index 0000000000000..fd478b6ecd4ff --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_trainerapi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_trainerapi DistilBertForSequenceClassification from mkhairil +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_trainerapi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_trainerapi` is a English model originally trained by mkhairil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_trainerapi_en_5.2.2_3.0_1703879066682.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_trainerapi_en_5.2.2_3.0_1703879066682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_trainerapi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_trainerapi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_trainerapi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mkhairil/finetuning-sentiment-model-3000-samples-trainerapi \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vanja98_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vanja98_en.md new file mode 100644 index 0000000000000..2b5f1b215c20d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vanja98_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_vanja98 DistilBertForSequenceClassification from vanja98 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_vanja98 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vanja98` is a English model originally trained by vanja98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vanja98_en_5.2.2_3.0_1703870070809.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vanja98_en_5.2.2_3.0_1703870070809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vanja98","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vanja98","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_vanja98| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vanja98/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_varunsappa_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_varunsappa_en.md new file mode 100644 index 0000000000000..090b267aa4728 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_varunsappa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_varunsappa DistilBertForSequenceClassification from varunsappa +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_varunsappa +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_varunsappa` is a English model originally trained by varunsappa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_varunsappa_en_5.2.2_3.0_1703891147018.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_varunsappa_en_5.2.2_3.0_1703891147018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_varunsappa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_varunsappa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_varunsappa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/varunsappa/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_verylost_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_verylost_en.md new file mode 100644 index 0000000000000..689824db3c0b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_verylost_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_verylost DistilBertForSequenceClassification from VeryLost +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_verylost +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_verylost` is a English model originally trained by VeryLost. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_verylost_en_5.2.2_3.0_1703877594603.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_verylost_en_5.2.2_3.0_1703877594603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_verylost","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_verylost","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_verylost| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/VeryLost/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_viktor_ogay_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_viktor_ogay_en.md new file mode 100644 index 0000000000000..3e79b3b3bbd8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_viktor_ogay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_viktor_ogay DistilBertForSequenceClassification from viktor-ogay +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_viktor_ogay +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_viktor_ogay` is a English model originally trained by viktor-ogay. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_viktor_ogay_en_5.2.2_3.0_1703890255751.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_viktor_ogay_en_5.2.2_3.0_1703890255751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_viktor_ogay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_viktor_ogay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_viktor_ogay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/viktor-ogay/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vinothina_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vinothina_en.md new file mode 100644 index 0000000000000..65d168fb2d9d0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vinothina_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_vinothina DistilBertForSequenceClassification from Vinothina +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_vinothina +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vinothina` is a English model originally trained by Vinothina. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vinothina_en_5.2.2_3.0_1703872171186.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vinothina_en_5.2.2_3.0_1703872171186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vinothina","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vinothina","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_vinothina| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Vinothina/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vjosap_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vjosap_en.md new file mode 100644 index 0000000000000..73b24e2837053 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vjosap_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_vjosap DistilBertForSequenceClassification from vjosap +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_vjosap +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vjosap` is a English model originally trained by vjosap. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vjosap_en_5.2.2_3.0_1703881622079.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vjosap_en_5.2.2_3.0_1703881622079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vjosap","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vjosap","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_vjosap| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vjosap/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vnew2_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vnew2_en.md new file mode 100644 index 0000000000000..925d356631a3c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_vnew2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_vnew2 DistilBertForSequenceClassification from JoeJYu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_vnew2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vnew2` is a English model originally trained by JoeJYu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vnew2_en_5.2.2_3.0_1703870200171.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vnew2_en_5.2.2_3.0_1703870200171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vnew2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_vnew2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_vnew2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JoeJYu/finetuning-sentiment-model-3000-samples-vNew2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_whsung0330_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_whsung0330_en.md new file mode 100644 index 0000000000000..30d3b0ae2be78 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_whsung0330_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_whsung0330 DistilBertForSequenceClassification from whsung0330 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_whsung0330 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_whsung0330` is a English model originally trained by whsung0330. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_whsung0330_en_5.2.2_3.0_1703862024697.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_whsung0330_en_5.2.2_3.0_1703862024697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_whsung0330","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_whsung0330","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_whsung0330| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/whsung0330/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wildercb_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wildercb_en.md new file mode 100644 index 0000000000000..61f1ed3304a70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wildercb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_wildercb DistilBertForSequenceClassification from wildercb +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_wildercb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wildercb` is a English model originally trained by wildercb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wildercb_en_5.2.2_3.0_1703861289997.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wildercb_en_5.2.2_3.0_1703861289997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wildercb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wildercb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_wildercb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/wildercb/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_williamshava_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_williamshava_en.md new file mode 100644 index 0000000000000..52338abc9ddf9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_williamshava_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_williamshava DistilBertForSequenceClassification from williamshava +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_williamshava +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_williamshava` is a English model originally trained by williamshava. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamshava_en_5.2.2_3.0_1703894214967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamshava_en_5.2.2_3.0_1703894214967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_williamshava","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_williamshava","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_williamshava| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/williamshava/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wm0215_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wm0215_en.md new file mode 100644 index 0000000000000..4206f3e10a8be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wm0215_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_wm0215 DistilBertForSequenceClassification from WM0215 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_wm0215 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wm0215` is a English model originally trained by WM0215. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wm0215_en_5.2.2_3.0_1703893000564.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wm0215_en_5.2.2_3.0_1703893000564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wm0215","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wm0215","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_wm0215| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/WM0215/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wuxiaofei_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wuxiaofei_en.md new file mode 100644 index 0000000000000..135a707806b8d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_wuxiaofei_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_wuxiaofei DistilBertForSequenceClassification from wuxiaofei +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_wuxiaofei +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wuxiaofei` is a English model originally trained by wuxiaofei. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wuxiaofei_en_5.2.2_3.0_1703884946051.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wuxiaofei_en_5.2.2_3.0_1703884946051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wuxiaofei","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wuxiaofei","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_wuxiaofei| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/wuxiaofei/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yiftach_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yiftach_en.md new file mode 100644 index 0000000000000..29d1f5354e5bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yiftach_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yiftach DistilBertForSequenceClassification from yiftach +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yiftach +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yiftach` is a English model originally trained by yiftach. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yiftach_en_5.2.2_3.0_1703865611442.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yiftach_en_5.2.2_3.0_1703865611442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yiftach","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yiftach","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yiftach| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yiftach/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yousrajaroudi_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yousrajaroudi_en.md new file mode 100644 index 0000000000000..10f46b19991b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_yousrajaroudi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yousrajaroudi DistilBertForSequenceClassification from YousraJaroudi +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yousrajaroudi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yousrajaroudi` is a English model originally trained by YousraJaroudi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yousrajaroudi_en_5.2.2_3.0_1703865891694.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yousrajaroudi_en_5.2.2_3.0_1703865891694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yousrajaroudi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yousrajaroudi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yousrajaroudi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/YousraJaroudi/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ywl9909_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ywl9909_en.md new file mode 100644 index 0000000000000..fe0ad8d7ad95d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_ywl9909_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ywl9909 DistilBertForSequenceClassification from Ywl9909 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ywl9909 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ywl9909` is a English model originally trained by Ywl9909. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ywl9909_en_5.2.2_3.0_1703866823200.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ywl9909_en_5.2.2_3.0_1703866823200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ywl9909","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ywl9909","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ywl9909| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ywl9909/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zboxi7_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zboxi7_en.md new file mode 100644 index 0000000000000..07fa7df23c1f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zboxi7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zboxi7 DistilBertForSequenceClassification from zboxi7 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zboxi7 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zboxi7` is a English model originally trained by zboxi7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zboxi7_en_5.2.2_3.0_1703886067585.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zboxi7_en_5.2.2_3.0_1703886067585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zboxi7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zboxi7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zboxi7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zboxi7/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zeinab11_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zeinab11_en.md new file mode 100644 index 0000000000000..065bcdd18bdf6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zeinab11_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zeinab11 DistilBertForSequenceClassification from zeinab11 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zeinab11 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zeinab11` is a English model originally trained by zeinab11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zeinab11_en_5.2.2_3.0_1703872722278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zeinab11_en_5.2.2_3.0_1703872722278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zeinab11","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zeinab11","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zeinab11| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zeinab11/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zhaohui_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zhaohui_en.md new file mode 100644 index 0000000000000..a831a671f435e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zhaohui_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zhaohui DistilBertForSequenceClassification from Zhaohui +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zhaohui +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zhaohui` is a English model originally trained by Zhaohui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zhaohui_en_5.2.2_3.0_1703860674114.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zhaohui_en_5.2.2_3.0_1703860674114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zhaohui","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zhaohui","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zhaohui| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zhaohui/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zshahzad_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zshahzad_en.md new file mode 100644 index 0000000000000..9939939c5c58a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zshahzad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zshahzad DistilBertForSequenceClassification from zshahzad +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zshahzad +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zshahzad` is a English model originally trained by zshahzad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zshahzad_en_5.2.2_3.0_1703860846987.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zshahzad_en_5.2.2_3.0_1703860846987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zshahzad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zshahzad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zshahzad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zshahzad/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zsolt_pai_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zsolt_pai_en.md new file mode 100644 index 0000000000000..7764d8c020c62 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zsolt_pai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zsolt_pai DistilBertForSequenceClassification from zsolt-pai +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zsolt_pai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zsolt_pai` is a English model originally trained by zsolt-pai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zsolt_pai_en_5.2.2_3.0_1703887580686.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zsolt_pai_en_5.2.2_3.0_1703887580686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zsolt_pai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zsolt_pai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zsolt_pai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zsolt-pai/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zul_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zul_en.md new file mode 100644 index 0000000000000..2ed060c1ed98e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zul_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zul DistilBertForSequenceClassification from Zul +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zul +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zul` is a English model originally trained by Zul. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zul_en_5.2.2_3.0_1703865996337.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zul_en_5.2.2_3.0_1703865996337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zul","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zul","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zul| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zul/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zunicd_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zunicd_en.md new file mode 100644 index 0000000000000..885c0849874bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3000_samples_zunicd_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zunicd DistilBertForSequenceClassification from zunicd +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zunicd +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zunicd` is a English model originally trained by zunicd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zunicd_en_5.2.2_3.0_1703876011200.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zunicd_en_5.2.2_3.0_1703876011200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zunicd","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zunicd","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zunicd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zunicd/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3k_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3k_samples_en.md new file mode 100644 index 0000000000000..367a3f8d6a3d0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_3k_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3k_samples DistilBertForSequenceClassification from 0xMaka +author: John Snow Labs +name: finetuning_sentiment_model_3k_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3k_samples` is a English model originally trained by 0xMaka. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3k_samples_en_5.2.2_3.0_1703887821087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3k_samples_en_5.2.2_3.0_1703887821087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3k_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3k_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3k_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/0xMaka/finetuning-sentiment-model-3k-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_4000_samples_english_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_4000_samples_english_en.md new file mode 100644 index 0000000000000..4bb0b861be29a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_4000_samples_english_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_4000_samples_english DistilBertForSequenceClassification from zboxi7 +author: John Snow Labs +name: finetuning_sentiment_model_4000_samples_english +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_4000_samples_english` is a English model originally trained by zboxi7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_4000_samples_english_en_5.2.2_3.0_1703874935433.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_4000_samples_english_en_5.2.2_3.0_1703874935433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_4000_samples_english","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_4000_samples_english","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_4000_samples_english| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zboxi7/finetuning-sentiment-model-4000-samples_en \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_5000_samples_senjakala_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_5000_samples_senjakala_en.md new file mode 100644 index 0000000000000..206dbd4256b67 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_5000_samples_senjakala_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_5000_samples_senjakala DistilBertForSequenceClassification from senjakala +author: John Snow Labs +name: finetuning_sentiment_model_5000_samples_senjakala +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_samples_senjakala` is a English model originally trained by senjakala. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_senjakala_en_5.2.2_3.0_1703864522964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_senjakala_en_5.2.2_3.0_1703864522964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_senjakala","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_senjakala","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_5000_samples_senjakala| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/senjakala/finetuning-sentiment-model-5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_a3_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_a3_en.md new file mode 100644 index 0000000000000..d5116b1b83b3f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_a3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_a3 DistilBertForSequenceClassification from Meow412 +author: John Snow Labs +name: finetuning_sentiment_model_a3 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_a3` is a English model originally trained by Meow412. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_a3_en_5.2.2_3.0_1703893562543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_a3_en_5.2.2_3.0_1703893562543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_a3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_a3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_a3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Meow412/finetuning-sentiment-model-A3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_duke_final_two_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_duke_final_two_en.md new file mode 100644 index 0000000000000..e5ec1f234c559 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_duke_final_two_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_duke_final_two DistilBertForSequenceClassification from dpazmino +author: John Snow Labs +name: finetuning_sentiment_model_duke_final_two +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_duke_final_two` is a English model originally trained by dpazmino. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_duke_final_two_en_5.2.2_3.0_1703870851414.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_duke_final_two_en_5.2.2_3.0_1703870851414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_duke_final_two","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_duke_final_two","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_duke_final_two| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dpazmino/finetuning-sentiment-model_duke_final_two \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_final_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_final_en.md new file mode 100644 index 0000000000000..27e0091f3a784 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_final_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_final DistilBertForSequenceClassification from tong349 +author: John Snow Labs +name: finetuning_sentiment_model_final +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_final` is a English model originally trained by tong349. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_final_en_5.2.2_3.0_1703862019500.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_final_en_5.2.2_3.0_1703862019500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_final","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_final","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_final| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tong349/finetuning-sentiment-model_final \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_imdb_chloecakee_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_imdb_chloecakee_en.md new file mode 100644 index 0000000000000..20324121e8c74 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_imdb_chloecakee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_imdb_chloecakee DistilBertForSequenceClassification from Chloecakee +author: John Snow Labs +name: finetuning_sentiment_model_imdb_chloecakee +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_imdb_chloecakee` is a English model originally trained by Chloecakee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_chloecakee_en_5.2.2_3.0_1703863889819.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_chloecakee_en_5.2.2_3.0_1703863889819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_imdb_chloecakee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_imdb_chloecakee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_imdb_chloecakee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chloecakee/finetuning-sentiment-model-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_minsloth_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_minsloth_en.md new file mode 100644 index 0000000000000..e361d49ac91b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_minsloth_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_minsloth DistilBertForSequenceClassification from minsloth +author: John Snow Labs +name: finetuning_sentiment_model_minsloth +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_minsloth` is a English model originally trained by minsloth. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_minsloth_en_5.2.2_3.0_1703861415515.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_minsloth_en_5.2.2_3.0_1703861415515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_minsloth","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_minsloth","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_minsloth| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/minsloth/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_q12023tea_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_q12023tea_en.md new file mode 100644 index 0000000000000..14c9b0685a69f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_q12023tea_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_q12023tea DistilBertForSequenceClassification from ncoulibaly +author: John Snow Labs +name: finetuning_sentiment_model_q12023tea +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_q12023tea` is a English model originally trained by ncoulibaly. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_q12023tea_en_5.2.2_3.0_1703893948654.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_q12023tea_en_5.2.2_3.0_1703893948654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_q12023tea","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_q12023tea","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_q12023tea| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ncoulibaly/finetuning-sentiment-model-Q12023TEA \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_samples_mshoaibsarwar_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_samples_mshoaibsarwar_en.md new file mode 100644 index 0000000000000..9744a8302ddb1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_samples_mshoaibsarwar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_samples_mshoaibsarwar DistilBertForSequenceClassification from mshoaibsarwar +author: John Snow Labs +name: finetuning_sentiment_model_samples_mshoaibsarwar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_samples_mshoaibsarwar` is a English model originally trained by mshoaibsarwar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_mshoaibsarwar_en_5.2.2_3.0_1703891855829.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_mshoaibsarwar_en_5.2.2_3.0_1703891855829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_samples_mshoaibsarwar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_samples_mshoaibsarwar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_samples_mshoaibsarwar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mshoaibsarwar/finetuning-sentiment-model-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_sst_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_sst_en.md new file mode 100644 index 0000000000000..82817ff0cd219 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_sst_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_sst DistilBertForSequenceClassification from semy +author: John Snow Labs +name: finetuning_sentiment_model_sst +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_sst` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_sst_en_5.2.2_3.0_1703882769796.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_sst_en_5.2.2_3.0_1703882769796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_sst","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_sst","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_sst| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/finetuning-sentiment-model-sst \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_test_harithakk_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_test_harithakk_en.md new file mode 100644 index 0000000000000..353288e8bfa2c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_test_harithakk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_test_harithakk DistilBertForSequenceClassification from harithakk +author: John Snow Labs +name: finetuning_sentiment_model_test_harithakk +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_test_harithakk` is a English model originally trained by harithakk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_test_harithakk_en_5.2.2_3.0_1703871583071.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_test_harithakk_en_5.2.2_3.0_1703871583071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_test_harithakk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_test_harithakk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_test_harithakk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/harithakk/finetuning-sentiment-model-Test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tong349_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tong349_en.md new file mode 100644 index 0000000000000..a00a17d31ca6a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tong349_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_tong349 DistilBertForSequenceClassification from tong349 +author: John Snow Labs +name: finetuning_sentiment_model_tong349 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_tong349` is a English model originally trained by tong349. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tong349_en_5.2.2_3.0_1703863399731.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tong349_en_5.2.2_3.0_1703863399731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tong349","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tong349","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_tong349| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tong349/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tuning_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tuning_en.md new file mode 100644 index 0000000000000..0b961cc571cc8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_tuning_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_tuning DistilBertForSequenceClassification from minsloth +author: John Snow Labs +name: finetuning_sentiment_model_tuning +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_tuning` is a English model originally trained by minsloth. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tuning_en_5.2.2_3.0_1703892018070.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tuning_en_5.2.2_3.0_1703892018070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tuning","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tuning","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_tuning| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/minsloth/finetuning-sentiment-model_tuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_vsabov_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_vsabov_en.md new file mode 100644 index 0000000000000..ee095ff2f363e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_vsabov_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_vsabov DistilBertForSequenceClassification from vsabov +author: John Snow Labs +name: finetuning_sentiment_model_vsabov +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_vsabov` is a English model originally trained by vsabov. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_vsabov_en_5.2.2_3.0_1703875757962.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_vsabov_en_5.2.2_3.0_1703875757962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_vsabov","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_vsabov","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_vsabov| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vsabov/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_yashas123_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_yashas123_en.md new file mode 100644 index 0000000000000..45ce65e3b8a8f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_model_yashas123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_yashas123 DistilBertForSequenceClassification from yashas123 +author: John Snow Labs +name: finetuning_sentiment_model_yashas123 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_yashas123` is a English model originally trained by yashas123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_yashas123_en_5.2.2_3.0_1703862162407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_yashas123_en_5.2.2_3.0_1703862162407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_yashas123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_yashas123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_yashas123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yashas123/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_rottentomatoes_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_rottentomatoes_en.md new file mode 100644 index 0000000000000..51e49b90cf37d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_rottentomatoes_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_rottentomatoes DistilBertForSequenceClassification from Movasaghi +author: John Snow Labs +name: finetuning_sentiment_rottentomatoes +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_rottentomatoes` is a English model originally trained by Movasaghi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_rottentomatoes_en_5.2.2_3.0_1703875271520.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_rottentomatoes_en_5.2.2_3.0_1703875271520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_rottentomatoes","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_rottentomatoes","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_rottentomatoes| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Movasaghi/finetuning-sentiment-rottentomatoes \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_unfiltered_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_unfiltered_dataset_en.md new file mode 100644 index 0000000000000..5460df97fd735 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_unfiltered_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_unfiltered_dataset DistilBertForSequenceClassification from C-Lo +author: John Snow Labs +name: finetuning_sentiment_unfiltered_dataset +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_unfiltered_dataset` is a English model originally trained by C-Lo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_unfiltered_dataset_en_5.2.2_3.0_1703861412547.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_unfiltered_dataset_en_5.2.2_3.0_1703861412547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_unfiltered_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_unfiltered_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_unfiltered_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/C-Lo/finetuning-sentiment-unfiltered-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_wisesight_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_wisesight_en.md new file mode 100644 index 0000000000000..4028808517f01 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_sentiment_wisesight_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_wisesight DistilBertForSequenceClassification from Timothy1337 +author: John Snow Labs +name: finetuning_sentiment_wisesight +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_wisesight` is a English model originally trained by Timothy1337. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_wisesight_en_5.2.2_3.0_1703870533602.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_wisesight_en_5.2.2_3.0_1703870533602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_wisesight","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_wisesight","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_wisesight| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Timothy1337/finetuning-sentiment-wisesight \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-finetuning_tweeteval_hate_speech_en.md b/docs/_posts/ahmedlone127/2023-12-29-finetuning_tweeteval_hate_speech_en.md new file mode 100644 index 0000000000000..7067f0dc3b882 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-finetuning_tweeteval_hate_speech_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_tweeteval_hate_speech DistilBertForSequenceClassification from semy +author: John Snow Labs +name: finetuning_tweeteval_hate_speech +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_tweeteval_hate_speech` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_tweeteval_hate_speech_en_5.2.2_3.0_1703888163355.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_tweeteval_hate_speech_en_5.2.2_3.0_1703888163355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_tweeteval_hate_speech","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_tweeteval_hate_speech","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_tweeteval_hate_speech| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/semy/finetuning-tweeteval-hate-speech \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-fintuning_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-fintuning_sentiment_model_3000_samples_en.md new file mode 100644 index 0000000000000..cf47cdaa42932 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-fintuning_sentiment_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fintuning_sentiment_model_3000_samples DistilBertForSequenceClassification from plphuc017 +author: John Snow Labs +name: fintuning_sentiment_model_3000_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fintuning_sentiment_model_3000_samples` is a English model originally trained by plphuc017. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fintuning_sentiment_model_3000_samples_en_5.2.2_3.0_1703861561048.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fintuning_sentiment_model_3000_samples_en_5.2.2_3.0_1703861561048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fintuning_sentiment_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fintuning_sentiment_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fintuning_sentiment_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/plphuc017/fintuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-first_kaggle_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-first_kaggle_model_en.md new file mode 100644 index 0000000000000..dcfbf9a240fbe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-first_kaggle_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English first_kaggle_model DistilBertForSequenceClassification from Lukedinh +author: John Snow Labs +name: first_kaggle_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`first_kaggle_model` is a English model originally trained by Lukedinh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/first_kaggle_model_en_5.2.2_3.0_1703875585927.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/first_kaggle_model_en_5.2.2_3.0_1703875585927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("first_kaggle_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("first_kaggle_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|first_kaggle_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Lukedinh/first_kaggle_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-firsttextclassification_en.md b/docs/_posts/ahmedlone127/2023-12-29-firsttextclassification_en.md new file mode 100644 index 0000000000000..ec8fc1f6c9293 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-firsttextclassification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English firsttextclassification DistilBertForSequenceClassification from mrizalf7 +author: John Snow Labs +name: firsttextclassification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`firsttextclassification` is a English model originally trained by mrizalf7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/firsttextclassification_en_5.2.2_3.0_1703883439407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/firsttextclassification_en_5.2.2_3.0_1703883439407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("firsttextclassification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("firsttextclassification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|firsttextclassification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mrizalf7/FirstTextClassification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-genre_pred_model_balanced_felixml_en.md b/docs/_posts/ahmedlone127/2023-12-29-genre_pred_model_balanced_felixml_en.md new file mode 100644 index 0000000000000..d728bdd14fb71 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-genre_pred_model_balanced_felixml_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English genre_pred_model_balanced_felixml DistilBertForSequenceClassification from felixml +author: John Snow Labs +name: genre_pred_model_balanced_felixml +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genre_pred_model_balanced_felixml` is a English model originally trained by felixml. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genre_pred_model_balanced_felixml_en_5.2.2_3.0_1703887901278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genre_pred_model_balanced_felixml_en_5.2.2_3.0_1703887901278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_balanced_felixml","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_balanced_felixml","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|genre_pred_model_balanced_felixml| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/felixml/genre_pred_model_balanced \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hate_speech_detection_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-hate_speech_detection_model_en.md new file mode 100644 index 0000000000000..42501aba45244 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hate_speech_detection_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hate_speech_detection_model DistilBertForSequenceClassification from OnYourLeft +author: John Snow Labs +name: hate_speech_detection_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_detection_model` is a English model originally trained by OnYourLeft. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_detection_model_en_5.2.2_3.0_1703891867064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_detection_model_en_5.2.2_3.0_1703891867064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_speech_detection_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_speech_detection_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hate_speech_detection_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/OnYourLeft/hate_speech_detection_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hate_trained_1234567_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_1234567_marcolatella_en.md new file mode 100644 index 0000000000000..a3c2457c4e467 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_1234567_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hate_trained_1234567_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: hate_trained_1234567_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_trained_1234567_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_trained_1234567_marcolatella_en_5.2.2_3.0_1703864520213.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_trained_1234567_marcolatella_en_5.2.2_3.0_1703864520213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_1234567_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_1234567_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hate_trained_1234567_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/hate_trained_1234567 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hate_trained_31415_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_31415_marcolatella_en.md new file mode 100644 index 0000000000000..f522269526efa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_31415_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hate_trained_31415_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: hate_trained_31415_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_trained_31415_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_trained_31415_marcolatella_en_5.2.2_3.0_1703881207497.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_trained_31415_marcolatella_en_5.2.2_3.0_1703881207497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_31415_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_31415_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hate_trained_31415_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/marcolatella/hate_trained_31415 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hate_trained_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_marcolatella_en.md new file mode 100644 index 0000000000000..5b188d5b37ede --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hate_trained_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: hate_trained_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_trained_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_trained_marcolatella_en_5.2.2_3.0_1703880136212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_trained_marcolatella_en_5.2.2_3.0_1703880136212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hate_trained_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/hate_trained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hate_trained_pietrotrope_en.md b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_pietrotrope_en.md new file mode 100644 index 0000000000000..86912ad7f50eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hate_trained_pietrotrope_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hate_trained_pietrotrope DistilBertForSequenceClassification from pietrotrope +author: John Snow Labs +name: hate_trained_pietrotrope +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_trained_pietrotrope` is a English model originally trained by pietrotrope. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_trained_pietrotrope_en_5.2.2_3.0_1703892283736.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_trained_pietrotrope_en_5.2.2_3.0_1703892283736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_pietrotrope","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hate_trained_pietrotrope","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hate_trained_pietrotrope| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pietrotrope/hate_trained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-heritage_in_the_digital_age_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-heritage_in_the_digital_age_finetuned_en.md new file mode 100644 index 0000000000000..1c60c0f7ec5e8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-heritage_in_the_digital_age_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English heritage_in_the_digital_age_finetuned DistilBertForSequenceClassification from tgieruc +author: John Snow Labs +name: heritage_in_the_digital_age_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`heritage_in_the_digital_age_finetuned` is a English model originally trained by tgieruc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/heritage_in_the_digital_age_finetuned_en_5.2.2_3.0_1703864676931.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/heritage_in_the_digital_age_finetuned_en_5.2.2_3.0_1703864676931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("heritage_in_the_digital_age_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("heritage_in_the_digital_age_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|heritage_in_the_digital_age_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tgieruc/Heritage-in-the-Digital-Age-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hf_model_0_en.md b/docs/_posts/ahmedlone127/2023-12-29-hf_model_0_en.md new file mode 100644 index 0000000000000..f518acb01fa74 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hf_model_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_0 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_0_en_5.2.2_3.0_1703874083343.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_0_en_5.2.2_3.0_1703874083343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/hf-model-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hf_model_full_0_en.md b/docs/_posts/ahmedlone127/2023-12-29-hf_model_full_0_en.md new file mode 100644 index 0000000000000..e5ab56cf66690 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hf_model_full_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_full_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_full_0 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_full_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_full_0_en_5.2.2_3.0_1703891510329.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_full_0_en_5.2.2_3.0_1703891510329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_full_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_full_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_full_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/hf-model-full-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hf_trainer_en.md b/docs/_posts/ahmedlone127/2023-12-29-hf_trainer_en.md new file mode 100644 index 0000000000000..6e4460718e31e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hf_trainer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_trainer DistilBertForSequenceClassification from SmilestheSad +author: John Snow Labs +name: hf_trainer +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_trainer` is a English model originally trained by SmilestheSad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_trainer_en_5.2.2_3.0_1703889587675.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_trainer_en_5.2.2_3.0_1703889587675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_trainer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_trainer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_trainer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/SmilestheSad/hf_trainer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-hs_dvs_en.md b/docs/_posts/ahmedlone127/2023-12-29-hs_dvs_en.md new file mode 100644 index 0000000000000..2b91458e0f289 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-hs_dvs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hs_dvs DistilBertForSequenceClassification from crcb +author: John Snow Labs +name: hs_dvs +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hs_dvs` is a English model originally trained by crcb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hs_dvs_en_5.2.2_3.0_1703884260492.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hs_dvs_en_5.2.2_3.0_1703884260492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hs_dvs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hs_dvs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hs_dvs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/crcb/hs_dvs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ia_trabalho01_en.md b/docs/_posts/ahmedlone127/2023-12-29-ia_trabalho01_en.md new file mode 100644 index 0000000000000..76489c81c7867 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ia_trabalho01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ia_trabalho01 DistilBertForSequenceClassification from Lorenzo1708 +author: John Snow Labs +name: ia_trabalho01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ia_trabalho01` is a English model originally trained by Lorenzo1708. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ia_trabalho01_en_5.2.2_3.0_1703893399700.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ia_trabalho01_en_5.2.2_3.0_1703893399700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ia_trabalho01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ia_trabalho01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ia_trabalho01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Lorenzo1708/IA_Trabalho01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-im_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-im_model_en.md new file mode 100644 index 0000000000000..df5ca5759d573 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-im_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English im_model DistilBertForSequenceClassification from Constien +author: John Snow Labs +name: im_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`im_model` is a English model originally trained by Constien. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/im_model_en_5.2.2_3.0_1703861395992.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/im_model_en_5.2.2_3.0_1703861395992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("im_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("im_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|im_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Constien/IM_Model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-im_seg_en.md b/docs/_posts/ahmedlone127/2023-12-29-im_seg_en.md new file mode 100644 index 0000000000000..fb26594bb250b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-im_seg_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English im_seg DistilBertForSequenceClassification from Constien +author: John Snow Labs +name: im_seg +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`im_seg` is a English model originally trained by Constien. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/im_seg_en_5.2.2_3.0_1703876336030.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/im_seg_en_5.2.2_3.0_1703876336030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("im_seg","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("im_seg","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|im_seg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Constien/IM_seg \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-image_summary_reminder_worthy_detector_en.md b/docs/_posts/ahmedlone127/2023-12-29-image_summary_reminder_worthy_detector_en.md new file mode 100644 index 0000000000000..1d1bada0b558f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-image_summary_reminder_worthy_detector_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English image_summary_reminder_worthy_detector DistilBertForSequenceClassification from abadugu +author: John Snow Labs +name: image_summary_reminder_worthy_detector +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`image_summary_reminder_worthy_detector` is a English model originally trained by abadugu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/image_summary_reminder_worthy_detector_en_5.2.2_3.0_1703889395286.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/image_summary_reminder_worthy_detector_en_5.2.2_3.0_1703889395286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("image_summary_reminder_worthy_detector","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("image_summary_reminder_worthy_detector","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|image_summary_reminder_worthy_detector| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/abadugu/image-summary-reminder-worthy-detector \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-imdb_distilbert_base_uncased_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-imdb_distilbert_base_uncased_finetuned_en.md new file mode 100644 index 0000000000000..fb1a6fc35f0da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-imdb_distilbert_base_uncased_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_distilbert_base_uncased_finetuned DistilBertForSequenceClassification from chunwoolee0 +author: John Snow Labs +name: imdb_distilbert_base_uncased_finetuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_distilbert_base_uncased_finetuned` is a English model originally trained by chunwoolee0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_distilbert_base_uncased_finetuned_en_5.2.2_3.0_1703881643634.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_distilbert_base_uncased_finetuned_en_5.2.2_3.0_1703881643634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_distilbert_base_uncased_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_distilbert_base_uncased_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_distilbert_base_uncased_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chunwoolee0/imdb_distilbert_base_uncased_finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-imdbreviews_classification_distilbert_v01_en.md b/docs/_posts/ahmedlone127/2023-12-29-imdbreviews_classification_distilbert_v01_en.md new file mode 100644 index 0000000000000..73c79700d66d9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-imdbreviews_classification_distilbert_v01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v01 DistilBertForSequenceClassification from jongalon +author: John Snow Labs +name: imdbreviews_classification_distilbert_v01 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v01` is a English model originally trained by jongalon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v01_en_5.2.2_3.0_1703873474782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v01_en_5.2.2_3.0_1703873474782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/jongalon/imdbreviews_classification_distilbert_v01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-instruction_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-instruction_classifier_en.md new file mode 100644 index 0000000000000..841e1a7bbfff9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-instruction_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English instruction_classifier DistilBertForSequenceClassification from alexanderfrey +author: John Snow Labs +name: instruction_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`instruction_classifier` is a English model originally trained by alexanderfrey. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/instruction_classifier_en_5.2.2_3.0_1703893110139.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/instruction_classifier_en_5.2.2_3.0_1703893110139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("instruction_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("instruction_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|instruction_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alexanderfrey/instruction_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-intent_classifier_amaiasolaun_en.md b/docs/_posts/ahmedlone127/2023-12-29-intent_classifier_amaiasolaun_en.md new file mode 100644 index 0000000000000..56ad195ffe33d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-intent_classifier_amaiasolaun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_amaiasolaun DistilBertForSequenceClassification from AmaiaSolaun +author: John Snow Labs +name: intent_classifier_amaiasolaun +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_amaiasolaun` is a English model originally trained by AmaiaSolaun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_amaiasolaun_en_5.2.2_3.0_1703863122003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_amaiasolaun_en_5.2.2_3.0_1703863122003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_amaiasolaun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_amaiasolaun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_amaiasolaun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AmaiaSolaun/intent_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-irony_trained_marcolatella_en.md b/docs/_posts/ahmedlone127/2023-12-29-irony_trained_marcolatella_en.md new file mode 100644 index 0000000000000..fd6048c1eefa4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-irony_trained_marcolatella_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English irony_trained_marcolatella DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: irony_trained_marcolatella +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`irony_trained_marcolatella` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/irony_trained_marcolatella_en_5.2.2_3.0_1703873186307.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/irony_trained_marcolatella_en_5.2.2_3.0_1703873186307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("irony_trained_marcolatella","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("irony_trained_marcolatella","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|irony_trained_marcolatella| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/irony_trained \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-is450_1_6m_tweets_en.md b/docs/_posts/ahmedlone127/2023-12-29-is450_1_6m_tweets_en.md new file mode 100644 index 0000000000000..3e17f2c7e184e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-is450_1_6m_tweets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English is450_1_6m_tweets DistilBertForSequenceClassification from JengaZepple +author: John Snow Labs +name: is450_1_6m_tweets +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`is450_1_6m_tweets` is a English model originally trained by JengaZepple. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/is450_1_6m_tweets_en_5.2.2_3.0_1703873596045.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/is450_1_6m_tweets_en_5.2.2_3.0_1703873596045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("is450_1_6m_tweets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("is450_1_6m_tweets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|is450_1_6m_tweets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JengaZepple/is450_1.6m_tweets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-item_classi_model_760_en.md b/docs/_posts/ahmedlone127/2023-12-29-item_classi_model_760_en.md new file mode 100644 index 0000000000000..15bce40511d92 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-item_classi_model_760_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English item_classi_model_760 DistilBertForSequenceClassification from aidenygu +author: John Snow Labs +name: item_classi_model_760 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`item_classi_model_760` is a English model originally trained by aidenygu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/item_classi_model_760_en_5.2.2_3.0_1703878068497.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/item_classi_model_760_en_5.2.2_3.0_1703878068497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("item_classi_model_760","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("item_classi_model_760","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|item_classi_model_760| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|251.7 MB| + +## References + +https://huggingface.co/aidenygu/item_classi_model_760 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v5_en.md b/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v5_en.md new file mode 100644 index 0000000000000..bb53dfa26f328 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English keyword_category_classifier_v5 DistilBertForSequenceClassification from Nalenczewski +author: John Snow Labs +name: keyword_category_classifier_v5 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_v5` is a English model originally trained by Nalenczewski. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v5_en_5.2.2_3.0_1703883049773.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v5_en_5.2.2_3.0_1703883049773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_v5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_v5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|keyword_category_classifier_v5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nalenczewski/keyword_category_classifier_v5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v6_en.md b/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v6_en.md new file mode 100644 index 0000000000000..3e218e9bcc18f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-keyword_category_classifier_v6_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English keyword_category_classifier_v6 DistilBertForSequenceClassification from Nalenczewski +author: John Snow Labs +name: keyword_category_classifier_v6 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_v6` is a English model originally trained by Nalenczewski. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v6_en_5.2.2_3.0_1703885448664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v6_en_5.2.2_3.0_1703885448664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_v6","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_v6","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|keyword_category_classifier_v6| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nalenczewski/keyword_category_classifier_v6 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-lc_1_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-12-29-lc_1_distilbert_base_uncased_en.md new file mode 100644 index 0000000000000..f3d0b0e28210c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-lc_1_distilbert_base_uncased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lc_1_distilbert_base_uncased DistilBertForSequenceClassification from PiceTRP +author: John Snow Labs +name: lc_1_distilbert_base_uncased +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lc_1_distilbert_base_uncased` is a English model originally trained by PiceTRP. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lc_1_distilbert_base_uncased_en_5.2.2_3.0_1703894207375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lc_1_distilbert_base_uncased_en_5.2.2_3.0_1703894207375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lc_1_distilbert_base_uncased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lc_1_distilbert_base_uncased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lc_1_distilbert_base_uncased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PiceTRP/lc_1_distilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-legal_doctrine_coding_challenge_en.md b/docs/_posts/ahmedlone127/2023-12-29-legal_doctrine_coding_challenge_en.md new file mode 100644 index 0000000000000..a36b98fa05012 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-legal_doctrine_coding_challenge_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English legal_doctrine_coding_challenge DistilBertForSequenceClassification from HAOUHAT +author: John Snow Labs +name: legal_doctrine_coding_challenge +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_doctrine_coding_challenge` is a English model originally trained by HAOUHAT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_doctrine_coding_challenge_en_5.2.2_3.0_1703890713201.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_doctrine_coding_challenge_en_5.2.2_3.0_1703890713201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("legal_doctrine_coding_challenge","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("legal_doctrine_coding_challenge","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|legal_doctrine_coding_challenge| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HAOUHAT/legal-doctrine-Coding-Challenge \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_all_labels_en.md b/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_all_labels_en.md new file mode 100644 index 0000000000000..70ee838f5a082 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_all_labels_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_experience_all_labels DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_experience_all_labels +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_experience_all_labels` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_experience_all_labels_en_5.2.2_3.0_1703863225335.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_experience_all_labels_en_5.2.2_3.0_1703863225335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_all_labels","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_all_labels","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_experience_all_labels| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_Experience_all_labels \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_cv5_en.md b/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_cv5_en.md new file mode 100644 index 0000000000000..c21d1a55a5665 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-lkd_experience_cv5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_experience_cv5 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_experience_cv5 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_experience_cv5` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_experience_cv5_en_5.2.2_3.0_1703878708781.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_experience_cv5_en_5.2.2_3.0_1703878708781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_experience_cv5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_Experience_CV5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-locum_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-locum_classification_en.md new file mode 100644 index 0000000000000..0da7018dedb59 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-locum_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English locum_classification DistilBertForSequenceClassification from Ridhwan +author: John Snow Labs +name: locum_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`locum_classification` is a English model originally trained by Ridhwan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/locum_classification_en_5.2.2_3.0_1703881372651.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/locum_classification_en_5.2.2_3.0_1703881372651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("locum_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("locum_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|locum_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ridhwan/locum_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-lsb_en.md b/docs/_posts/ahmedlone127/2023-12-29-lsb_en.md new file mode 100644 index 0000000000000..cc0a7e5fc291a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-lsb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lsb DistilBertForSequenceClassification from onvickirk +author: John Snow Labs +name: lsb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lsb` is a English model originally trained by onvickirk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lsb_en_5.2.2_3.0_1703881803839.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lsb_en_5.2.2_3.0_1703881803839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lsb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lsb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lsb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/onvickirk/lsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-m4_mlm_cross_en.md b/docs/_posts/ahmedlone127/2023-12-29-m4_mlm_cross_en.md new file mode 100644 index 0000000000000..d629b5902bd09 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-m4_mlm_cross_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English m4_mlm_cross DistilBertForSequenceClassification from S2312dal +author: John Snow Labs +name: m4_mlm_cross +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m4_mlm_cross` is a English model originally trained by S2312dal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4_mlm_cross_en_5.2.2_3.0_1703878171342.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4_mlm_cross_en_5.2.2_3.0_1703878171342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("m4_mlm_cross","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("m4_mlm_cross","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|m4_mlm_cross| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/S2312dal/M4_MLM_cross \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-mencoder_en.md b/docs/_posts/ahmedlone127/2023-12-29-mencoder_en.md new file mode 100644 index 0000000000000..63dec264590e4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-mencoder_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mencoder DistilBertForSequenceClassification from remshu-inc +author: John Snow Labs +name: mencoder +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mencoder` is a English model originally trained by remshu-inc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mencoder_en_5.2.2_3.0_1703881860131.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mencoder_en_5.2.2_3.0_1703881860131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mencoder","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mencoder","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mencoder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/remshu-inc/mencoder \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-mini3_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-mini3_model_en.md new file mode 100644 index 0000000000000..9a7ddd636f3d5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-mini3_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mini3_model DistilBertForSequenceClassification from jennakastner8 +author: John Snow Labs +name: mini3_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mini3_model` is a English model originally trained by jennakastner8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mini3_model_en_5.2.2_3.0_1703887595571.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mini3_model_en_5.2.2_3.0_1703887595571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mini3_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mini3_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mini3_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jennakastner8/mini3_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-movie_genre_prediction_distilbert_base_uncased_full_en.md b/docs/_posts/ahmedlone127/2023-12-29-movie_genre_prediction_distilbert_base_uncased_full_en.md new file mode 100644 index 0000000000000..a5b96ac25dab8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-movie_genre_prediction_distilbert_base_uncased_full_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English movie_genre_prediction_distilbert_base_uncased_full DistilBertForSequenceClassification from zayedupal +author: John Snow Labs +name: movie_genre_prediction_distilbert_base_uncased_full +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_prediction_distilbert_base_uncased_full` is a English model originally trained by zayedupal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_prediction_distilbert_base_uncased_full_en_5.2.2_3.0_1703865888117.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_prediction_distilbert_base_uncased_full_en_5.2.2_3.0_1703865888117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("movie_genre_prediction_distilbert_base_uncased_full","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("movie_genre_prediction_distilbert_base_uncased_full","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|movie_genre_prediction_distilbert_base_uncased_full| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zayedupal/movie-genre-prediction_distilbert-base-uncased_full \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-multi_class_classification_not_evaluated_en.md b/docs/_posts/ahmedlone127/2023-12-29-multi_class_classification_not_evaluated_en.md new file mode 100644 index 0000000000000..84953840133bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-multi_class_classification_not_evaluated_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English multi_class_classification_not_evaluated DistilBertForSequenceClassification from autoevaluate +author: John Snow Labs +name: multi_class_classification_not_evaluated +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_class_classification_not_evaluated` is a English model originally trained by autoevaluate. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_class_classification_not_evaluated_en_5.2.2_3.0_1703868402577.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_class_classification_not_evaluated_en_5.2.2_3.0_1703868402577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("multi_class_classification_not_evaluated","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("multi_class_classification_not_evaluated","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|multi_class_classification_not_evaluated| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/autoevaluate/multi-class-classification-not-evaluated \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-mydenemelerce_modelim_en.md b/docs/_posts/ahmedlone127/2023-12-29-mydenemelerce_modelim_en.md new file mode 100644 index 0000000000000..a96373ae2adee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-mydenemelerce_modelim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mydenemelerce_modelim DistilBertForSequenceClassification from Buseak +author: John Snow Labs +name: mydenemelerce_modelim +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mydenemelerce_modelim` is a English model originally trained by Buseak. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mydenemelerce_modelim_en_5.2.2_3.0_1703872763420.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mydenemelerce_modelim_en_5.2.2_3.0_1703872763420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mydenemelerce_modelim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mydenemelerce_modelim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mydenemelerce_modelim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|254.0 MB| + +## References + +https://huggingface.co/Buseak/mydenemelerce_modelim \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-nela_gt_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-nela_gt_classifier_en.md new file mode 100644 index 0000000000000..0442c91ca40db --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-nela_gt_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nela_gt_classifier DistilBertForSequenceClassification from DraiP +author: John Snow Labs +name: nela_gt_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nela_gt_classifier` is a English model originally trained by DraiP. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nela_gt_classifier_en_5.2.2_3.0_1703883452443.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nela_gt_classifier_en_5.2.2_3.0_1703883452443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nela_gt_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nela_gt_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nela_gt_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DraiP/NELA-GT_Classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_classifer_epoch10_en.md b/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_classifer_epoch10_en.md new file mode 100644 index 0000000000000..4b8788e25844d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_classifer_epoch10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nepal_bhasa_classifer_epoch10 DistilBertForSequenceClassification from leokai +author: John Snow Labs +name: nepal_bhasa_classifer_epoch10 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_classifer_epoch10` is a English model originally trained by leokai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_classifer_epoch10_en_5.2.2_3.0_1703889243636.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_classifer_epoch10_en_5.2.2_3.0_1703889243636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nepal_bhasa_classifer_epoch10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nepal_bhasa_classifer_epoch10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nepal_bhasa_classifer_epoch10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leokai/new_classifer_epoch10 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_dummy_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_dummy_model_en.md new file mode 100644 index 0000000000000..a780efee26329 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-nepal_bhasa_dummy_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nepal_bhasa_dummy_model DistilBertForSequenceClassification from lysandre +author: John Snow Labs +name: nepal_bhasa_dummy_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_dummy_model` is a English model originally trained by lysandre. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_en_5.2.2_3.0_1703867114900.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_en_5.2.2_3.0_1703867114900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nepal_bhasa_dummy_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nepal_bhasa_dummy_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nepal_bhasa_dummy_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lysandre/new-dummy-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-news_resource_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-news_resource_classification_en.md new file mode 100644 index 0000000000000..d941c9743c0e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-news_resource_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_resource_classification DistilBertForSequenceClassification from tingchih +author: John Snow Labs +name: news_resource_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_resource_classification` is a English model originally trained by tingchih. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_resource_classification_en_5.2.2_3.0_1703874091590.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_resource_classification_en_5.2.2_3.0_1703874091590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_resource_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_resource_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_resource_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tingchih/news_resource_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-news_tsl_train_en.md b/docs/_posts/ahmedlone127/2023-12-29-news_tsl_train_en.md new file mode 100644 index 0000000000000..6e831c61bf14b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-news_tsl_train_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_tsl_train DistilBertForSequenceClassification from Tidrael +author: John Snow Labs +name: news_tsl_train +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_tsl_train` is a English model originally trained by Tidrael. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_tsl_train_en_5.2.2_3.0_1703887256649.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_tsl_train_en_5.2.2_3.0_1703887256649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_tsl_train","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_tsl_train","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_tsl_train| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Tidrael/news-tsl-train \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-nlp_hw1_en.md b/docs/_posts/ahmedlone127/2023-12-29-nlp_hw1_en.md new file mode 100644 index 0000000000000..26cce43c1efa4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-nlp_hw1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nlp_hw1 DistilBertForSequenceClassification from sakgoyal +author: John Snow Labs +name: nlp_hw1 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hw1` is a English model originally trained by sakgoyal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hw1_en_5.2.2_3.0_1703877425983.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hw1_en_5.2.2_3.0_1703877425983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_hw1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_hw1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nlp_hw1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sakgoyal/NLP_HW1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-paper_tryout_distiled_bert_en.md b/docs/_posts/ahmedlone127/2023-12-29-paper_tryout_distiled_bert_en.md new file mode 100644 index 0000000000000..703adb9aaf59e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-paper_tryout_distiled_bert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English paper_tryout_distiled_bert DistilBertForSequenceClassification from yyyynnnniiii +author: John Snow Labs +name: paper_tryout_distiled_bert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paper_tryout_distiled_bert` is a English model originally trained by yyyynnnniiii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paper_tryout_distiled_bert_en_5.2.2_3.0_1703884419988.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paper_tryout_distiled_bert_en_5.2.2_3.0_1703884419988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("paper_tryout_distiled_bert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("paper_tryout_distiled_bert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|paper_tryout_distiled_bert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yyyynnnniiii/Paper_tryout_distiled_bert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-pollcat_mnli_en.md b/docs/_posts/ahmedlone127/2023-12-29-pollcat_mnli_en.md new file mode 100644 index 0000000000000..9817561585687 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-pollcat_mnli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English pollcat_mnli DistilBertForSequenceClassification from pollcat +author: John Snow Labs +name: pollcat_mnli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pollcat_mnli` is a English model originally trained by pollcat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pollcat_mnli_en_5.2.2_3.0_1703886663092.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pollcat_mnli_en_5.2.2_3.0_1703886663092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("pollcat_mnli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("pollcat_mnli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|pollcat_mnli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pollcat/pollcat-mnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-prova2_en.md b/docs/_posts/ahmedlone127/2023-12-29-prova2_en.md new file mode 100644 index 0000000000000..03e6e2c1b35b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-prova2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prova2 DistilBertForSequenceClassification from nicotaroni +author: John Snow Labs +name: prova2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prova2` is a English model originally trained by nicotaroni. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prova2_en_5.2.2_3.0_1703862455807.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prova2_en_5.2.2_3.0_1703862455807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prova2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prova2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prova2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nicotaroni/prova2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-prueba_random_25_04_en.md b/docs/_posts/ahmedlone127/2023-12-29-prueba_random_25_04_en.md new file mode 100644 index 0000000000000..85aa5cb5c9804 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-prueba_random_25_04_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prueba_random_25_04 DistilBertForSequenceClassification from mrovejaxd +author: John Snow Labs +name: prueba_random_25_04 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prueba_random_25_04` is a English model originally trained by mrovejaxd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prueba_random_25_04_en_5.2.2_3.0_1703890458552.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prueba_random_25_04_en_5.2.2_3.0_1703890458552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba_random_25_04","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba_random_25_04","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prueba_random_25_04| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mrovejaxd/prueba_random_25-04 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-question_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-question_classifier_en.md new file mode 100644 index 0000000000000..0a0c1cfc325c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-question_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English question_classifier DistilBertForSequenceClassification from alangpp255 +author: John Snow Labs +name: question_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classifier` is a English model originally trained by alangpp255. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classifier_en_5.2.2_3.0_1703869054020.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classifier_en_5.2.2_3.0_1703869054020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("question_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("question_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|question_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alangpp255/Question_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-r_distilbert_base_uncased_otel_en.md b/docs/_posts/ahmedlone127/2023-12-29-r_distilbert_base_uncased_otel_en.md new file mode 100644 index 0000000000000..00882f4baddd5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-r_distilbert_base_uncased_otel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English r_distilbert_base_uncased_otel DistilBertForSequenceClassification from TiptopBin +author: John Snow Labs +name: r_distilbert_base_uncased_otel +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`r_distilbert_base_uncased_otel` is a English model originally trained by TiptopBin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/r_distilbert_base_uncased_otel_en_5.2.2_3.0_1703890111912.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/r_distilbert_base_uncased_otel_en_5.2.2_3.0_1703890111912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("r_distilbert_base_uncased_otel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("r_distilbert_base_uncased_otel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|r_distilbert_base_uncased_otel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TiptopBin/r-distilbert-base-uncased-otel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-recipe_with_plan_distilbert_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-recipe_with_plan_distilbert_classifier_en.md new file mode 100644 index 0000000000000..79cac9b612110 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-recipe_with_plan_distilbert_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English recipe_with_plan_distilbert_classifier DistilBertForSequenceClassification from yinhongliu +author: John Snow Labs +name: recipe_with_plan_distilbert_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`recipe_with_plan_distilbert_classifier` is a English model originally trained by yinhongliu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_with_plan_distilbert_classifier_en_5.2.2_3.0_1703871102857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_with_plan_distilbert_classifier_en_5.2.2_3.0_1703871102857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("recipe_with_plan_distilbert_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("recipe_with_plan_distilbert_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|recipe_with_plan_distilbert_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yinhongliu/recipe_with_plan_distilbert_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-regression_bert_aug_mseloss_en.md b/docs/_posts/ahmedlone127/2023-12-29-regression_bert_aug_mseloss_en.md new file mode 100644 index 0000000000000..2606e5d06a935 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-regression_bert_aug_mseloss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English regression_bert_aug_mseloss DistilBertForSequenceClassification from Svetlana0303 +author: John Snow Labs +name: regression_bert_aug_mseloss +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regression_bert_aug_mseloss` is a English model originally trained by Svetlana0303. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regression_bert_aug_mseloss_en_5.2.2_3.0_1703877918094.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regression_bert_aug_mseloss_en_5.2.2_3.0_1703877918094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("regression_bert_aug_mseloss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("regression_bert_aug_mseloss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|regression_bert_aug_mseloss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Svetlana0303/Regression_BERT_aug_MSEloss \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_alexamiredjibi_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_alexamiredjibi_en.md new file mode 100644 index 0000000000000..c16d26060acc4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_alexamiredjibi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_alexamiredjibi DistilBertForSequenceClassification from alexamiredjibi +author: John Snow Labs +name: results_alexamiredjibi +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_alexamiredjibi` is a English model originally trained by alexamiredjibi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_alexamiredjibi_en_5.2.2_3.0_1703878015163.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_alexamiredjibi_en_5.2.2_3.0_1703878015163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_alexamiredjibi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_alexamiredjibi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_alexamiredjibi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alexamiredjibi/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_jth_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_jth_en.md new file mode 100644 index 0000000000000..3aab064b04fa5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_jth_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_jth DistilBertForSequenceClassification from JTH +author: John Snow Labs +name: results_jth +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_jth` is a English model originally trained by JTH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_jth_en_5.2.2_3.0_1703868071893.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_jth_en_5.2.2_3.0_1703868071893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_jth","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_jth","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_jth| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JTH/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_neha2608_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_neha2608_en.md new file mode 100644 index 0000000000000..14b285d355bcb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_neha2608_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_neha2608 DistilBertForSequenceClassification from Neha2608 +author: John Snow Labs +name: results_neha2608 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_neha2608` is a English model originally trained by Neha2608. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_neha2608_en_5.2.2_3.0_1703878576334.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_neha2608_en_5.2.2_3.0_1703878576334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_neha2608","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_neha2608","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_neha2608| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Neha2608/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_parinita_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_parinita_en.md new file mode 100644 index 0000000000000..e7e93ab9b6a04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_parinita_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_parinita DistilBertForSequenceClassification from parinita +author: John Snow Labs +name: results_parinita +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_parinita` is a English model originally trained by parinita. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_parinita_en_5.2.2_3.0_1703875411612.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_parinita_en_5.2.2_3.0_1703875411612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_parinita","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_parinita","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_parinita| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/parinita/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_rami_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_rami_en.md new file mode 100644 index 0000000000000..635dc7ac674c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_rami_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_rami DistilBertForSequenceClassification from Rami +author: John Snow Labs +name: results_rami +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_rami` is a English model originally trained by Rami. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_rami_en_5.2.2_3.0_1703894043318.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_rami_en_5.2.2_3.0_1703894043318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_rami","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_rami","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_rami| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/Rami/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-results_ridhodaffasyah_en.md b/docs/_posts/ahmedlone127/2023-12-29-results_ridhodaffasyah_en.md new file mode 100644 index 0000000000000..bc633dffda475 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-results_ridhodaffasyah_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_ridhodaffasyah DistilBertForSequenceClassification from ridhodaffasyah +author: John Snow Labs +name: results_ridhodaffasyah +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_ridhodaffasyah` is a English model originally trained by ridhodaffasyah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_ridhodaffasyah_en_5.2.2_3.0_1703862754288.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_ridhodaffasyah_en_5.2.2_3.0_1703862754288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_ridhodaffasyah","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_ridhodaffasyah","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_ridhodaffasyah| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ridhodaffasyah/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_cola_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_cola_en.md new file mode 100644 index 0000000000000..c26ad36d87e9d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_cola_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_cola DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_cola +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_cola` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cola_en_5.2.2_3.0_1703862214820.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cola_en_5.2.2_3.0_1703862214820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_cola","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_cola","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_cola| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_emotion_en.md new file mode 100644 index 0000000000000..b6ecc215f7e13 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_emotion DistilBertForSequenceClassification from marii +author: John Snow Labs +name: roberta_finetuned_emotion +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_emotion` is a English model originally trained by marii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_emotion_en_5.2.2_3.0_1703882513861.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_emotion_en_5.2.2_3.0_1703882513861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marii/roberta-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_mrpc_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_mrpc_en.md new file mode 100644 index 0000000000000..9f629403d1103 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_mrpc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_mrpc DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_mrpc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_mrpc` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_mrpc_en_5.2.2_3.0_1703872058183.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_mrpc_en_5.2.2_3.0_1703872058183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_mrpc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_mrpc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_mrpc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-mrpc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_qnli_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_qnli_en.md new file mode 100644 index 0000000000000..d2216047b1ecb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_qnli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_qnli DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_qnli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_qnli` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qnli_en_5.2.2_3.0_1703890967131.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qnli_en_5.2.2_3.0_1703890967131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_qnli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_qnli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_qnli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-qnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_rte_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_rte_en.md new file mode 100644 index 0000000000000..4e13fd134459d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_rte_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_rte DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_rte +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_rte` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_rte_en_5.2.2_3.0_1703889975318.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_rte_en_5.2.2_3.0_1703889975318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_rte","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_rte","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_rte| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-rte \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_stsb_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_stsb_en.md new file mode 100644 index 0000000000000..1b47eaca0cfce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_stsb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_stsb DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_stsb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_stsb` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_stsb_en_5.2.2_3.0_1703867744762.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_stsb_en_5.2.2_3.0_1703867744762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_stsb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_stsb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_stsb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-stsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_wnli_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_wnli_en.md new file mode 100644 index 0000000000000..fffc66386ebe2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_finetuned_wnli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_wnli DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_wnli +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_wnli` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_wnli_en_5.2.2_3.0_1703881034340.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_wnli_en_5.2.2_3.0_1703881034340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_wnli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_wnli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_wnli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-wnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roberta_replication_en.md b/docs/_posts/ahmedlone127/2023-12-29-roberta_replication_en.md new file mode 100644 index 0000000000000..e5a191654c6b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roberta_replication_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_replication DistilBertForSequenceClassification from amottelson +author: John Snow Labs +name: roberta_replication +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_replication` is a English model originally trained by amottelson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_replication_en_5.2.2_3.0_1703887081303.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_replication_en_5.2.2_3.0_1703887081303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_replication","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_replication","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_replication| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amottelson/roberta-replication \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-roshni_fake_news_en.md b/docs/_posts/ahmedlone127/2023-12-29-roshni_fake_news_en.md new file mode 100644 index 0000000000000..22165214c48a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-roshni_fake_news_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roshni_fake_news DistilBertForSequenceClassification from philbell +author: John Snow Labs +name: roshni_fake_news +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roshni_fake_news` is a English model originally trained by philbell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roshni_fake_news_en_5.2.2_3.0_1703887823588.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roshni_fake_news_en_5.2.2_3.0_1703887823588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roshni_fake_news","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roshni_fake_news","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roshni_fake_news| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/philbell/roshni_fake_news \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-rottentomato_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-29-rottentomato_classifier_en.md new file mode 100644 index 0000000000000..6c8d846c2c757 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-rottentomato_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rottentomato_classifier DistilBertForSequenceClassification from tkurtulus +author: John Snow Labs +name: rottentomato_classifier +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rottentomato_classifier` is a English model originally trained by tkurtulus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rottentomato_classifier_en_5.2.2_3.0_1703868230236.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rottentomato_classifier_en_5.2.2_3.0_1703868230236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rottentomato_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rottentomato_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rottentomato_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tkurtulus/rottentomato-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-rtm_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-rtm_distilbert_5e_en.md new file mode 100644 index 0000000000000..6dbda86597c56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-rtm_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rtm_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: rtm_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rtm_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rtm_distilbert_5e_en_5.2.2_3.0_1703870058169.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rtm_distilbert_5e_en_5.2.2_3.0_1703870058169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rtm_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rtm_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rtm_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/rtm_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-s2g_class_cours_en.md b/docs/_posts/ahmedlone127/2023-12-29-s2g_class_cours_en.md new file mode 100644 index 0000000000000..61d08b343b51c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-s2g_class_cours_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English s2g_class_cours DistilBertForSequenceClassification from PavelDanek +author: John Snow Labs +name: s2g_class_cours +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`s2g_class_cours` is a English model originally trained by PavelDanek. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/s2g_class_cours_en_5.2.2_3.0_1703870975684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/s2g_class_cours_en_5.2.2_3.0_1703870975684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("s2g_class_cours","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("s2g_class_cours","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|s2g_class_cours| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|203.3 MB| + +## References + +https://huggingface.co/PavelDanek/s2g_class_cours \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sbi_model_223_en.md b/docs/_posts/ahmedlone127/2023-12-29-sbi_model_223_en.md new file mode 100644 index 0000000000000..2c797eb58721a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sbi_model_223_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sbi_model_223 DistilBertForSequenceClassification from Anurag0961 +author: John Snow Labs +name: sbi_model_223 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbi_model_223` is a English model originally trained by Anurag0961. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbi_model_223_en_5.2.2_3.0_1703870968639.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbi_model_223_en_5.2.2_3.0_1703870968639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbi_model_223","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbi_model_223","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sbi_model_223| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Anurag0961/sbi-model-223 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sbi_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-sbi_model_en.md new file mode 100644 index 0000000000000..81668cf8942dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sbi_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sbi_model DistilBertForSequenceClassification from Anurag0961 +author: John Snow Labs +name: sbi_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbi_model` is a English model originally trained by Anurag0961. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbi_model_en_5.2.2_3.0_1703885619778.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbi_model_en_5.2.2_3.0_1703885619778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbi_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbi_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sbi_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Anurag0961/sbi-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_jedida_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_jedida_en.md new file mode 100644 index 0000000000000..62cc18c2074e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_jedida_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentence_sentiments_analysis_distilbert_jedida DistilBertForSequenceClassification from Jedida +author: John Snow Labs +name: sentence_sentiments_analysis_distilbert_jedida +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_sentiments_analysis_distilbert_jedida` is a English model originally trained by Jedida. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_distilbert_jedida_en_5.2.2_3.0_1703871738597.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_distilbert_jedida_en_5.2.2_3.0_1703871738597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_sentiments_analysis_distilbert_jedida","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_sentiments_analysis_distilbert_jedida","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentence_sentiments_analysis_distilbert_jedida| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Jedida/sentence_sentiments_analysis_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_uholodala_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_uholodala_en.md new file mode 100644 index 0000000000000..95816f123710c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentence_sentiments_analysis_distilbert_uholodala_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentence_sentiments_analysis_distilbert_uholodala DistilBertForSequenceClassification from UholoDala +author: John Snow Labs +name: sentence_sentiments_analysis_distilbert_uholodala +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_sentiments_analysis_distilbert_uholodala` is a English model originally trained by UholoDala. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_distilbert_uholodala_en_5.2.2_3.0_1703893734466.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_distilbert_uholodala_en_5.2.2_3.0_1703893734466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_sentiments_analysis_distilbert_uholodala","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_sentiments_analysis_distilbert_uholodala","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentence_sentiments_analysis_distilbert_uholodala| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/UholoDala/sentence_sentiments_analysis_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment140_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment140_distilbert_5e_en.md new file mode 100644 index 0000000000000..e597134eab6d1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment140_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment140_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: sentiment140_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment140_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment140_distilbert_5e_en_5.2.2_3.0_1703890412462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment140_distilbert_5e_en_5.2.2_3.0_1703890412462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment140_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment140_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment140_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pig4431/Sentiment140_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_browser_extension_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_browser_extension_en.md new file mode 100644 index 0000000000000..fb7baf745e101 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_browser_extension_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_browser_extension DistilBertForSequenceClassification from racro +author: John Snow Labs +name: sentiment_analysis_browser_extension +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_browser_extension` is a English model originally trained by racro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_browser_extension_en_5.2.2_3.0_1703880879614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_browser_extension_en_5.2.2_3.0_1703880879614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_browser_extension","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_browser_extension","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_browser_extension| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/racro/sentiment-analysis-browser-extension \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_distillbert_base_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_distillbert_base_en.md new file mode 100644 index 0000000000000..4481b028a8bf4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_distillbert_base_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_distillbert_base DistilBertForSequenceClassification from Emeraj +author: John Snow Labs +name: sentiment_analysis_distillbert_base +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_distillbert_base` is a English model originally trained by Emeraj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distillbert_base_en_5.2.2_3.0_1703865339777.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distillbert_base_en_5.2.2_3.0_1703865339777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_distillbert_base","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_distillbert_base","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_distillbert_base| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Emeraj/Sentiment-analysis-distillbert-base \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_generic_fintuned_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_generic_fintuned_en.md new file mode 100644 index 0000000000000..70598d6307848 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_generic_fintuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_generic_fintuned DistilBertForSequenceClassification from hoang14 +author: John Snow Labs +name: sentiment_analysis_generic_fintuned +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_generic_fintuned` is a English model originally trained by hoang14. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_fintuned_en_5.2.2_3.0_1703862745673.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_fintuned_en_5.2.2_3.0_1703862745673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_fintuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_fintuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_generic_fintuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hoang14/sentiment-analysis-generic-fintuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_gwu_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_gwu_en.md new file mode 100644 index 0000000000000..a702e55808ff4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_gwu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_gwu DistilBertForSequenceClassification from laihanel +author: John Snow Labs +name: sentiment_analysis_gwu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_gwu` is a English model originally trained by laihanel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gwu_en_5.2.2_3.0_1703891262394.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gwu_en_5.2.2_3.0_1703891262394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_gwu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_gwu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_gwu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/laihanel/sentiment-analysis_gwu \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_model_onyourleft_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_model_onyourleft_en.md new file mode 100644 index 0000000000000..26ad60ff40160 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_model_onyourleft_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_model_onyourleft DistilBertForSequenceClassification from OnYourLeft +author: John Snow Labs +name: sentiment_analysis_model_onyourleft +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_onyourleft` is a English model originally trained by OnYourLeft. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_onyourleft_en_5.2.2_3.0_1703878999983.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_onyourleft_en_5.2.2_3.0_1703878999983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_onyourleft","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_onyourleft","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_model_onyourleft| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/OnYourLeft/sentiment_analysis_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_on_covid_tweets_sampsonchris_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_on_covid_tweets_sampsonchris_en.md new file mode 100644 index 0000000000000..bb33dea29dae1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_on_covid_tweets_sampsonchris_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_on_covid_tweets_sampsonchris DistilBertForSequenceClassification from SampsonChris +author: John Snow Labs +name: sentiment_analysis_on_covid_tweets_sampsonchris +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_on_covid_tweets_sampsonchris` is a English model originally trained by SampsonChris. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_sampsonchris_en_5.2.2_3.0_1703873673715.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_sampsonchris_en_5.2.2_3.0_1703873673715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_on_covid_tweets_sampsonchris","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_on_covid_tweets_sampsonchris","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_on_covid_tweets_sampsonchris| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SampsonChris/sentiment_analysis_on_covid_tweets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_simple_demo_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_simple_demo_model_en.md new file mode 100644 index 0000000000000..dab9ac2886c95 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_analysis_simple_demo_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_simple_demo_model DistilBertForSequenceClassification from LeighMiller +author: John Snow Labs +name: sentiment_analysis_simple_demo_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_simple_demo_model` is a English model originally trained by LeighMiller. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_simple_demo_model_en_5.2.2_3.0_1703869858524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_simple_demo_model_en_5.2.2_3.0_1703869858524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_simple_demo_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_simple_demo_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_simple_demo_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LeighMiller/sentiment-analysis-simple-demo-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_browser_extension_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_browser_extension_en.md new file mode 100644 index 0000000000000..e2b0e378e2ba6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_browser_extension_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_browser_extension DistilBertForSequenceClassification from racro +author: John Snow Labs +name: sentiment_browser_extension +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_browser_extension` is a English model originally trained by racro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_browser_extension_en_5.2.2_3.0_1703873124277.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_browser_extension_en_5.2.2_3.0_1703873124277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_browser_extension","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_browser_extension","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_browser_extension| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/racro/sentiment-browser-extension \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_classify_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_classify_en.md new file mode 100644 index 0000000000000..07f23f2e0f409 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_classify_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_classify DistilBertForSequenceClassification from Laurie +author: John Snow Labs +name: sentiment_classify +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_classify` is a English model originally trained by Laurie. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_classify_en_5.2.2_3.0_1703885454270.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_classify_en_5.2.2_3.0_1703885454270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_classify","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_classify","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_classify| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Laurie/sentiment-classify \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_100_samples_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_100_samples_en.md new file mode 100644 index 0000000000000..bacacf89b20c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_100_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_100_samples DistilBertForSequenceClassification from PabloAMC +author: John Snow Labs +name: sentiment_model_100_samples +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_100_samples` is a English model originally trained by PabloAMC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_100_samples_en_5.2.2_3.0_1703888302373.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_100_samples_en_5.2.2_3.0_1703888302373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_100_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_100_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_100_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/PabloAMC/sentiment-model-100-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_14mar_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_14mar_en.md new file mode 100644 index 0000000000000..bbe80db81bc3a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_14mar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_14mar DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: sentiment_model_14mar +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_14mar` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_14mar_en_5.2.2_3.0_1703879277740.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_14mar_en_5.2.2_3.0_1703879277740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_14mar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_14mar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_14mar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manjinder/sentiment_model_14mar \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_alexgeh196_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_alexgeh196_en.md new file mode 100644 index 0000000000000..097e2d64fdffb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_alexgeh196_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_alexgeh196 DistilBertForSequenceClassification from alexgeh196 +author: John Snow Labs +name: sentiment_model_alexgeh196 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_alexgeh196` is a English model originally trained by alexgeh196. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_alexgeh196_en_5.2.2_3.0_1703878198691.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_alexgeh196_en_5.2.2_3.0_1703878198691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_alexgeh196","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_alexgeh196","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_alexgeh196| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alexgeh196/sentiment_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_imdb_small_3000_demo_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_imdb_small_3000_demo_en.md new file mode 100644 index 0000000000000..33b8885814673 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_imdb_small_3000_demo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_imdb_small_3000_demo DistilBertForSequenceClassification from sachinshinde +author: John Snow Labs +name: sentiment_model_imdb_small_3000_demo +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_imdb_small_3000_demo` is a English model originally trained by sachinshinde. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_imdb_small_3000_demo_en_5.2.2_3.0_1703889837964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_imdb_small_3000_demo_en_5.2.2_3.0_1703889837964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_imdb_small_3000_demo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_imdb_small_3000_demo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_imdb_small_3000_demo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sachinshinde/sentiment-model-imdb-small-3000-demo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_xeropred_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_xeropred_en.md new file mode 100644 index 0000000000000..2e531f2360be6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_model_xeropred_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_xeropred DistilBertForSequenceClassification from XerOpred +author: John Snow Labs +name: sentiment_model_xeropred +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_xeropred` is a English model originally trained by XerOpred. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_xeropred_en_5.2.2_3.0_1703882320017.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_xeropred_en_5.2.2_3.0_1703882320017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_xeropred","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_xeropred","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_xeropred| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/XerOpred/sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_pred_24feb_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_pred_24feb_en.md new file mode 100644 index 0000000000000..34213ebbe9175 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_pred_24feb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_pred_24feb DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: sentiment_pred_24feb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_pred_24feb` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_pred_24feb_en_5.2.2_3.0_1703886687579.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_pred_24feb_en_5.2.2_3.0_1703886687579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_pred_24feb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_pred_24feb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_pred_24feb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manjinder/sentiment_pred_24feb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_manjinder_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_manjinder_en.md new file mode 100644 index 0000000000000..51b074269a9f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_manjinder_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_test_manjinder DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: sentiment_test_manjinder +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_test_manjinder` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_test_manjinder_en_5.2.2_3.0_1703861866021.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_test_manjinder_en_5.2.2_3.0_1703861866021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test_manjinder","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test_manjinder","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_test_manjinder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manjinder/sentiment_test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_model_22feb_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_model_22feb_en.md new file mode 100644 index 0000000000000..39ce50f31d88c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_test_model_22feb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_test_model_22feb DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: sentiment_test_model_22feb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_test_model_22feb` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_test_model_22feb_en_5.2.2_3.0_1703861715919.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_test_model_22feb_en_5.2.2_3.0_1703861715919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test_model_22feb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test_model_22feb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_test_model_22feb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manjinder/sentiment_test_model_22Feb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_twitter160000_3_zhaohui_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_twitter160000_3_zhaohui_en.md new file mode 100644 index 0000000000000..9a8013624ea92 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_twitter160000_3_zhaohui_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_twitter160000_3_zhaohui DistilBertForSequenceClassification from Zhaohui +author: John Snow Labs +name: sentiment_twitter160000_3_zhaohui +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_twitter160000_3_zhaohui` is a English model originally trained by Zhaohui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_twitter160000_3_zhaohui_en_5.2.2_3.0_1703878838286.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_twitter160000_3_zhaohui_en_5.2.2_3.0_1703878838286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_twitter160000_3_zhaohui","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_twitter160000_3_zhaohui","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_twitter160000_3_zhaohui| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zhaohui/sentiment-twitter160000-3-Zhaohui \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sentiment_version_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-sentiment_version_2_en.md new file mode 100644 index 0000000000000..0f8ad2b961269 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sentiment_version_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_version_2 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: sentiment_version_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_version_2` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_version_2_en_5.2.2_3.0_1703878574371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_version_2_en_5.2.2_3.0_1703878574371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_version_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/sentiment_version_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-seqcl_en.md b/docs/_posts/ahmedlone127/2023-12-29-seqcl_en.md new file mode 100644 index 0000000000000..249b237eeb33c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-seqcl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English seqcl DistilBertForSequenceClassification from judithrosell +author: John Snow Labs +name: seqcl +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`seqcl` is a English model originally trained by judithrosell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/seqcl_en_5.2.2_3.0_1703876824936.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/seqcl_en_5.2.2_3.0_1703876824936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("seqcl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("seqcl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|seqcl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/judithrosell/seqcl \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-session_4_imdb_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-session_4_imdb_model_en.md new file mode 100644 index 0000000000000..19f3fe92ab6ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-session_4_imdb_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English session_4_imdb_model DistilBertForSequenceClassification from wgpubs +author: John Snow Labs +name: session_4_imdb_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`session_4_imdb_model` is a English model originally trained by wgpubs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/session_4_imdb_model_en_5.2.2_3.0_1703885900259.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/session_4_imdb_model_en_5.2.2_3.0_1703885900259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("session_4_imdb_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("session_4_imdb_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|session_4_imdb_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/wgpubs/session-4-imdb-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-smashing_sexism_weighted_loss_en.md b/docs/_posts/ahmedlone127/2023-12-29-smashing_sexism_weighted_loss_en.md new file mode 100644 index 0000000000000..35eaf1c63d0a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-smashing_sexism_weighted_loss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English smashing_sexism_weighted_loss DistilBertForSequenceClassification from radupascale +author: John Snow Labs +name: smashing_sexism_weighted_loss +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smashing_sexism_weighted_loss` is a English model originally trained by radupascale. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smashing_sexism_weighted_loss_en_5.2.2_3.0_1703862564494.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smashing_sexism_weighted_loss_en_5.2.2_3.0_1703862564494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("smashing_sexism_weighted_loss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("smashing_sexism_weighted_loss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|smashing_sexism_weighted_loss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|308.2 MB| + +## References + +https://huggingface.co/radupascale/smashing-sexism-weighted-loss \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sms_class_test10_en.md b/docs/_posts/ahmedlone127/2023-12-29-sms_class_test10_en.md new file mode 100644 index 0000000000000..a703a8a4bc45f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sms_class_test10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sms_class_test10 DistilBertForSequenceClassification from manish1993hf +author: John Snow Labs +name: sms_class_test10 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_class_test10` is a English model originally trained by manish1993hf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_class_test10_en_5.2.2_3.0_1703865208186.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_class_test10_en_5.2.2_3.0_1703865208186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sms_class_test10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manish1993hf/sms_class_test10 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-sms_class_test9_en.md b/docs/_posts/ahmedlone127/2023-12-29-sms_class_test9_en.md new file mode 100644 index 0000000000000..28e97711defbd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-sms_class_test9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sms_class_test9 DistilBertForSequenceClassification from manish1993hf +author: John Snow Labs +name: sms_class_test9 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_class_test9` is a English model originally trained by manish1993hf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_class_test9_en_5.2.2_3.0_1703881962575.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_class_test9_en_5.2.2_3.0_1703881962575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sms_class_test9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/manish1993hf/sms_class_test9 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_chingoduc_en.md b/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_chingoduc_en.md new file mode 100644 index 0000000000000..1cb12937720aa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_chingoduc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English spam_classifier_chingoduc DistilBertForSequenceClassification from chingoduc +author: John Snow Labs +name: spam_classifier_chingoduc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_classifier_chingoduc` is a English model originally trained by chingoduc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_classifier_chingoduc_en_5.2.2_3.0_1703874367496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_classifier_chingoduc_en_5.2.2_3.0_1703874367496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("spam_classifier_chingoduc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("spam_classifier_chingoduc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|spam_classifier_chingoduc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chingoduc/spam-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_zhuolisam_en.md b/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_zhuolisam_en.md new file mode 100644 index 0000000000000..9cf5f2fe23d9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-spam_classifier_zhuolisam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English spam_classifier_zhuolisam DistilBertForSequenceClassification from zhuolisam +author: John Snow Labs +name: spam_classifier_zhuolisam +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_classifier_zhuolisam` is a English model originally trained by zhuolisam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_classifier_zhuolisam_en_5.2.2_3.0_1703884865315.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_classifier_zhuolisam_en_5.2.2_3.0_1703884865315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("spam_classifier_zhuolisam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("spam_classifier_zhuolisam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|spam_classifier_zhuolisam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zhuolisam/spam-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_direct_en.md b/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_direct_en.md new file mode 100644 index 0000000000000..61ca80a48656b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_direct_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English stsb_distillbert_direct DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: stsb_distillbert_direct +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_distillbert_direct` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_distillbert_direct_en_5.2.2_3.0_1703871408698.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_distillbert_direct_en_5.2.2_3.0_1703871408698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("stsb_distillbert_direct","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("stsb_distillbert_direct","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|stsb_distillbert_direct| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sayan01/stsb-distillbert-Direct \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_en.md b/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_en.md new file mode 100644 index 0000000000000..df912d4db0c7e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-stsb_distillbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English stsb_distillbert DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: stsb_distillbert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_distillbert` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_distillbert_en_5.2.2_3.0_1703891872203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_distillbert_en_5.2.2_3.0_1703891872203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("stsb_distillbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("stsb_distillbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|stsb_distillbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sayan01/stsb-distillbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-student_redv2_distilled_2o_en.md b/docs/_posts/ahmedlone127/2023-12-29-student_redv2_distilled_2o_en.md new file mode 100644 index 0000000000000..71a54c54bf6d8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-student_redv2_distilled_2o_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English student_redv2_distilled_2o DistilBertForSequenceClassification from mateiaass +author: John Snow Labs +name: student_redv2_distilled_2o +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`student_redv2_distilled_2o` is a English model originally trained by mateiaass. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/student_redv2_distilled_2o_en_5.2.2_3.0_1703892827628.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/student_redv2_distilled_2o_en_5.2.2_3.0_1703892827628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("student_redv2_distilled_2o","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("student_redv2_distilled_2o","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|student_redv2_distilled_2o| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|308.2 MB| + +## References + +https://huggingface.co/mateiaass/student-REDV2-distilled-2o \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-summaries_comparisons_distilbert_tldr_pabloamc_en.md b/docs/_posts/ahmedlone127/2023-12-29-summaries_comparisons_distilbert_tldr_pabloamc_en.md new file mode 100644 index 0000000000000..d9da04c301bee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-summaries_comparisons_distilbert_tldr_pabloamc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English summaries_comparisons_distilbert_tldr_pabloamc DistilBertForSequenceClassification from PabloAMC +author: John Snow Labs +name: summaries_comparisons_distilbert_tldr_pabloamc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`summaries_comparisons_distilbert_tldr_pabloamc` is a English model originally trained by PabloAMC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_pabloamc_en_5.2.2_3.0_1703871909573.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_pabloamc_en_5.2.2_3.0_1703871909573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_pabloamc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_pabloamc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|summaries_comparisons_distilbert_tldr_pabloamc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PabloAMC/summaries-comparisons-distilbert-TLDR \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tesla_related_unrelated_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-tesla_related_unrelated_classification_en.md new file mode 100644 index 0000000000000..4cd0aa17f7f8d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tesla_related_unrelated_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tesla_related_unrelated_classification DistilBertForSequenceClassification from BLACKBUN +author: John Snow Labs +name: tesla_related_unrelated_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tesla_related_unrelated_classification` is a English model originally trained by BLACKBUN. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tesla_related_unrelated_classification_en_5.2.2_3.0_1703892515105.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tesla_related_unrelated_classification_en_5.2.2_3.0_1703892515105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tesla_related_unrelated_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tesla_related_unrelated_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tesla_related_unrelated_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BLACKBUN/tesla-related-unrelated-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-test_alanhau_en.md b/docs/_posts/ahmedlone127/2023-12-29-test_alanhau_en.md new file mode 100644 index 0000000000000..ccf39325627e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-test_alanhau_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_alanhau DistilBertForSequenceClassification from Alanhau +author: John Snow Labs +name: test_alanhau +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_alanhau` is a English model originally trained by Alanhau. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_alanhau_en_5.2.2_3.0_1703874514247.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_alanhau_en_5.2.2_3.0_1703874514247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_alanhau","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_alanhau","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_alanhau| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Alanhau/test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-test_model_axhyra_en.md b/docs/_posts/ahmedlone127/2023-12-29-test_model_axhyra_en.md new file mode 100644 index 0000000000000..164bfa425a1ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-test_model_axhyra_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_model_axhyra DistilBertForSequenceClassification from aXhyra +author: John Snow Labs +name: test_model_axhyra +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_axhyra` is a English model originally trained by aXhyra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_axhyra_en_5.2.2_3.0_1703889688055.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_axhyra_en_5.2.2_3.0_1703889688055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_axhyra","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_axhyra","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_model_axhyra| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aXhyra/test-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-test_trainer_ncdisrup_ai_en.md b/docs/_posts/ahmedlone127/2023-12-29-test_trainer_ncdisrup_ai_en.md new file mode 100644 index 0000000000000..9487a8cf33797 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-test_trainer_ncdisrup_ai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_trainer_ncdisrup_ai DistilBertForSequenceClassification from ncdisrup-ai +author: John Snow Labs +name: test_trainer_ncdisrup_ai +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_ncdisrup_ai` is a English model originally trained by ncdisrup-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_ncdisrup_ai_en_5.2.2_3.0_1703883927852.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_ncdisrup_ai_en_5.2.2_3.0_1703883927852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_trainer_ncdisrup_ai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_trainer_ncdisrup_ai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_trainer_ncdisrup_ai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ncdisrup-ai/test_trainer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-text_classification_hw_en.md b/docs/_posts/ahmedlone127/2023-12-29-text_classification_hw_en.md new file mode 100644 index 0000000000000..88e984ea17049 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-text_classification_hw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_hw DistilBertForSequenceClassification from Cynthiaiii4 +author: John Snow Labs +name: text_classification_hw +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_hw` is a English model originally trained by Cynthiaiii4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_hw_en_5.2.2_3.0_1703876972281.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_hw_en_5.2.2_3.0_1703876972281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_hw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_hw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_hw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Cynthiaiii4/Text_classification_HW \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_fatenghali_en.md b/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_fatenghali_en.md new file mode 100644 index 0000000000000..112f6f4744bd5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_fatenghali_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_model_fatenghali DistilBertForSequenceClassification from fatenghali +author: John Snow Labs +name: text_classification_model_fatenghali +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_model_fatenghali` is a English model originally trained by fatenghali. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_model_fatenghali_en_5.2.2_3.0_1703881394783.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_model_fatenghali_en_5.2.2_3.0_1703881394783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_fatenghali","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_fatenghali","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_model_fatenghali| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fatenghali/text_classification_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_manishw_en.md b/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_manishw_en.md new file mode 100644 index 0000000000000..b9a6e54ca2801 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-text_classification_model_manishw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_model_manishw DistilBertForSequenceClassification from ManishW +author: John Snow Labs +name: text_classification_model_manishw +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_model_manishw` is a English model originally trained by ManishW. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_model_manishw_en_5.2.2_3.0_1703866789377.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_model_manishw_en_5.2.2_3.0_1703866789377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_manishw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_manishw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_model_manishw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ManishW/text-classification-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-text_results_en.md b/docs/_posts/ahmedlone127/2023-12-29-text_results_en.md new file mode 100644 index 0000000000000..e2e25bce27c20 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-text_results_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_results DistilBertForSequenceClassification from PrachiPatel +author: John Snow Labs +name: text_results +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_results` is a English model originally trained by PrachiPatel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_results_en_5.2.2_3.0_1703866024843.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_results_en_5.2.2_3.0_1703866024843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_results","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_results","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_results| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PrachiPatel/text_results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_coba_en.md b/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_coba_en.md new file mode 100644 index 0000000000000..3b508a95004ad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_coba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English textclass_finetuned_coba_coba DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: textclass_finetuned_coba_coba +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`textclass_finetuned_coba_coba` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textclass_finetuned_coba_coba_en_5.2.2_3.0_1703875054962.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textclass_finetuned_coba_coba_en_5.2.2_3.0_1703875054962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("textclass_finetuned_coba_coba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("textclass_finetuned_coba_coba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|textclass_finetuned_coba_coba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/textClass-finetuned-coba-coba \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_en.md b/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_en.md new file mode 100644 index 0000000000000..0a85ee8dee1cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-textclass_finetuned_coba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English textclass_finetuned_coba DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: textclass_finetuned_coba +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`textclass_finetuned_coba` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textclass_finetuned_coba_en_5.2.2_3.0_1703885773607.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textclass_finetuned_coba_en_5.2.2_3.0_1703885773607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("textclass_finetuned_coba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("textclass_finetuned_coba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|textclass_finetuned_coba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/textClass-finetuned-coba \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_6_en.md b/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_6_en.md new file mode 100644 index 0000000000000..87cea80ac2568 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_6_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tiny_bert_rte_distilled_6 DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: tiny_bert_rte_distilled_6 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_rte_distilled_6` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_rte_distilled_6_en_5.2.2_3.0_1703876691398.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_rte_distilled_6_en_5.2.2_3.0_1703876691398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_bert_rte_distilled_6","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_bert_rte_distilled_6","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tiny_bert_rte_distilled_6| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sayan01/tiny-bert-rte-distilled-6 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_vanilla_cross_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_vanilla_cross_roberta_en.md new file mode 100644 index 0000000000000..c15a2524f1f82 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tiny_bert_rte_distilled_vanilla_cross_roberta_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tiny_bert_rte_distilled_vanilla_cross_roberta DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: tiny_bert_rte_distilled_vanilla_cross_roberta +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_rte_distilled_vanilla_cross_roberta` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_rte_distilled_vanilla_cross_roberta_en_5.2.2_3.0_1703894360073.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_rte_distilled_vanilla_cross_roberta_en_5.2.2_3.0_1703894360073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_bert_rte_distilled_vanilla_cross_roberta","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_bert_rte_distilled_vanilla_cross_roberta","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tiny_bert_rte_distilled_vanilla_cross_roberta| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sayan01/tiny-bert-rte-distilled-vanilla-cross-roberta \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tiny_classification_fast_4_en.md b/docs/_posts/ahmedlone127/2023-12-29-tiny_classification_fast_4_en.md new file mode 100644 index 0000000000000..2511a8d49b017 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tiny_classification_fast_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tiny_classification_fast_4 DistilBertForSequenceClassification from Elytum +author: John Snow Labs +name: tiny_classification_fast_4 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_classification_fast_4` is a English model originally trained by Elytum. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_classification_fast_4_en_5.2.2_3.0_1703885622379.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_classification_fast_4_en_5.2.2_3.0_1703885622379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_classification_fast_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_classification_fast_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tiny_classification_fast_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Elytum/tiny-classification-fast-4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-toxic_tweets_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-toxic_tweets_model_en.md new file mode 100644 index 0000000000000..b0270bdca27ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-toxic_tweets_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English toxic_tweets_model DistilBertForSequenceClassification from dk3156 +author: John Snow Labs +name: toxic_tweets_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_tweets_model` is a English model originally trained by dk3156. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_tweets_model_en_5.2.2_3.0_1703894067270.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_tweets_model_en_5.2.2_3.0_1703894067270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic_tweets_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic_tweets_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|toxic_tweets_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dk3156/toxic_tweets_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-train_log_en.md b/docs/_posts/ahmedlone127/2023-12-29-train_log_en.md new file mode 100644 index 0000000000000..27b392d1952f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-train_log_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English train_log DistilBertForSequenceClassification from NikiBase +author: John Snow Labs +name: train_log +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`train_log` is a English model originally trained by NikiBase. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/train_log_en_5.2.2_3.0_1703889095144.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/train_log_en_5.2.2_3.0_1703889095144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("train_log","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("train_log","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|train_log| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/NikiBase/train.log \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-trained_model_dang1812_en.md b/docs/_posts/ahmedlone127/2023-12-29-trained_model_dang1812_en.md new file mode 100644 index 0000000000000..09cc0af0a38c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-trained_model_dang1812_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English trained_model_dang1812 DistilBertForSequenceClassification from dang1812 +author: John Snow Labs +name: trained_model_dang1812 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trained_model_dang1812` is a English model originally trained by dang1812. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trained_model_dang1812_en_5.2.2_3.0_1703886656533.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trained_model_dang1812_en_5.2.2_3.0_1703886656533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("trained_model_dang1812","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("trained_model_dang1812","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|trained_model_dang1812| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dang1812/trained_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-traj_classifier_recency_en.md b/docs/_posts/ahmedlone127/2023-12-29-traj_classifier_recency_en.md new file mode 100644 index 0000000000000..3e5f9a694e1a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-traj_classifier_recency_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English traj_classifier_recency DistilBertForSequenceClassification from alexamiredjibi +author: John Snow Labs +name: traj_classifier_recency +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`traj_classifier_recency` is a English model originally trained by alexamiredjibi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/traj_classifier_recency_en_5.2.2_3.0_1703872877584.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/traj_classifier_recency_en_5.2.2_3.0_1703872877584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("traj_classifier_recency","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("traj_classifier_recency","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|traj_classifier_recency| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alexamiredjibi/traj-classifier-recency \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-transformer_1_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-transformer_1_model_en.md new file mode 100644 index 0000000000000..98703d764dd5b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-transformer_1_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English transformer_1_model DistilBertForSequenceClassification from kenkliesner +author: John Snow Labs +name: transformer_1_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transformer_1_model` is a English model originally trained by kenkliesner. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transformer_1_model_en_5.2.2_3.0_1703880564173.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transformer_1_model_en_5.2.2_3.0_1703880564173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("transformer_1_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("transformer_1_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|transformer_1_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kenkliesner/transformer_1_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-try_out_model_amc2_en.md b/docs/_posts/ahmedlone127/2023-12-29-try_out_model_amc2_en.md new file mode 100644 index 0000000000000..0cea6992fae71 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-try_out_model_amc2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English try_out_model_amc2 DistilBertForSequenceClassification from Anurag0961 +author: John Snow Labs +name: try_out_model_amc2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`try_out_model_amc2` is a English model originally trained by Anurag0961. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/try_out_model_amc2_en_5.2.2_3.0_1703866244723.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/try_out_model_amc2_en_5.2.2_3.0_1703866244723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("try_out_model_amc2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("try_out_model_amc2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|try_out_model_amc2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Anurag0961/try-out-model-amc2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-try_out_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-try_out_model_en.md new file mode 100644 index 0000000000000..7d973d9804f65 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-try_out_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English try_out_model DistilBertForSequenceClassification from Anurag0961 +author: John Snow Labs +name: try_out_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`try_out_model` is a English model originally trained by Anurag0961. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/try_out_model_en_5.2.2_3.0_1703883489106.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/try_out_model_en_5.2.2_3.0_1703883489106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("try_out_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("try_out_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|try_out_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Anurag0961/try-out-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tsc_sentimenta_imdbamzntsc_2_en.md b/docs/_posts/ahmedlone127/2023-12-29-tsc_sentimenta_imdbamzntsc_2_en.md new file mode 100644 index 0000000000000..37d1c9605788a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tsc_sentimenta_imdbamzntsc_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tsc_sentimenta_imdbamzntsc_2 DistilBertForSequenceClassification from malcolm +author: John Snow Labs +name: tsc_sentimenta_imdbamzntsc_2 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tsc_sentimenta_imdbamzntsc_2` is a English model originally trained by malcolm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tsc_sentimenta_imdbamzntsc_2_en_5.2.2_3.0_1703870633049.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tsc_sentimenta_imdbamzntsc_2_en_5.2.2_3.0_1703870633049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tsc_sentimenta_imdbamzntsc_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tsc_sentimenta_imdbamzntsc_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tsc_sentimenta_imdbamzntsc_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/malcolm/TSC_SentimentA_IMDBAmznTSC_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tse_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-tse_distilbert_5e_en.md new file mode 100644 index 0000000000000..503fd40782267 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tse_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tse_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: tse_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tse_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tse_distilbert_5e_en_5.2.2_3.0_1703868898287.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tse_distilbert_5e_en_5.2.2_3.0_1703868898287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tse_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tse_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tse_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pig4431/TSE_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tuf_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-29-tuf_distilbert_5e_en.md new file mode 100644 index 0000000000000..5b441a5dd9abd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tuf_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tuf_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: tuf_distilbert_5e +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuf_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuf_distilbert_5e_en_5.2.2_3.0_1703894315587.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuf_distilbert_5e_en_5.2.2_3.0_1703894315587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tuf_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tuf_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tuf_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/TUF_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-turk_pol_clf_en.md b/docs/_posts/ahmedlone127/2023-12-29-turk_pol_clf_en.md new file mode 100644 index 0000000000000..9dd5a3b9cd454 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-turk_pol_clf_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English turk_pol_clf DistilBertForSequenceClassification from Skazzi +author: John Snow Labs +name: turk_pol_clf +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turk_pol_clf` is a English model originally trained by Skazzi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turk_pol_clf_en_5.2.2_3.0_1703886403084.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turk_pol_clf_en_5.2.2_3.0_1703886403084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("turk_pol_clf","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("turk_pol_clf","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|turk_pol_clf| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Skazzi/turk_pol_clf \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tweet_model_sentiment_andersab_en.md b/docs/_posts/ahmedlone127/2023-12-29-tweet_model_sentiment_andersab_en.md new file mode 100644 index 0000000000000..8e32d517c30b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tweet_model_sentiment_andersab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweet_model_sentiment_andersab DistilBertForSequenceClassification from andersab +author: John Snow Labs +name: tweet_model_sentiment_andersab +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_model_sentiment_andersab` is a English model originally trained by andersab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_model_sentiment_andersab_en_5.2.2_3.0_1703866974674.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_model_sentiment_andersab_en_5.2.2_3.0_1703866974674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_model_sentiment_andersab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_model_sentiment_andersab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweet_model_sentiment_andersab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/andersab/tweet_model_sentiment_andersab \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_kingasiedu_en.md b/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_kingasiedu_en.md new file mode 100644 index 0000000000000..f3a8257cc574e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_kingasiedu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweet_sentiments_analysis_distilbert_kingasiedu DistilBertForSequenceClassification from KingAsiedu +author: John Snow Labs +name: tweet_sentiments_analysis_distilbert_kingasiedu +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_sentiments_analysis_distilbert_kingasiedu` is a English model originally trained by KingAsiedu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_kingasiedu_en_5.2.2_3.0_1703872599517.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_kingasiedu_en_5.2.2_3.0_1703872599517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_kingasiedu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_kingasiedu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweet_sentiments_analysis_distilbert_kingasiedu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/KingAsiedu/tweet_sentiments_analysis_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_uholodala_en.md b/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_uholodala_en.md new file mode 100644 index 0000000000000..2a843ab3a5f25 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tweet_sentiments_analysis_distilbert_uholodala_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweet_sentiments_analysis_distilbert_uholodala DistilBertForSequenceClassification from UholoDala +author: John Snow Labs +name: tweet_sentiments_analysis_distilbert_uholodala +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_sentiments_analysis_distilbert_uholodala` is a English model originally trained by UholoDala. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_uholodala_en_5.2.2_3.0_1703889797073.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_uholodala_en_5.2.2_3.0_1703889797073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_uholodala","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_uholodala","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweet_sentiments_analysis_distilbert_uholodala| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/UholoDala/tweet_sentiments_analysis_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-tweetbert_en.md b/docs/_posts/ahmedlone127/2023-12-29-tweetbert_en.md new file mode 100644 index 0000000000000..a09ca3cc779bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-tweetbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweetbert DistilBertForSequenceClassification from thotranexe +author: John Snow Labs +name: tweetbert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweetbert` is a English model originally trained by thotranexe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetbert_en_5.2.2_3.0_1703878435087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetbert_en_5.2.2_3.0_1703878435087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweetbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.9 MB| + +## References + +https://huggingface.co/thotranexe/tweetbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-twitter_classification_en.md b/docs/_posts/ahmedlone127/2023-12-29-twitter_classification_en.md new file mode 100644 index 0000000000000..d08e7032eb5b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-twitter_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_classification DistilBertForSequenceClassification from JTH +author: John Snow Labs +name: twitter_classification +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_classification` is a English model originally trained by JTH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_classification_en_5.2.2_3.0_1703893020579.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_classification_en_5.2.2_3.0_1703893020579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JTH/twitter_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-twitter_emotion_multilabel_classification_with_bert_en.md b/docs/_posts/ahmedlone127/2023-12-29-twitter_emotion_multilabel_classification_with_bert_en.md new file mode 100644 index 0000000000000..24522fe6ef24d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-twitter_emotion_multilabel_classification_with_bert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_emotion_multilabel_classification_with_bert DistilBertForSequenceClassification from wesleyacheng +author: John Snow Labs +name: twitter_emotion_multilabel_classification_with_bert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_emotion_multilabel_classification_with_bert` is a English model originally trained by wesleyacheng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_emotion_multilabel_classification_with_bert_en_5.2.2_3.0_1703870016003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_emotion_multilabel_classification_with_bert_en_5.2.2_3.0_1703870016003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_emotion_multilabel_classification_with_bert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_emotion_multilabel_classification_with_bert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_emotion_multilabel_classification_with_bert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wesleyacheng/twitter-emotion-multilabel-classification-with-bert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-twitter_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-29-twitter_sentiment_analysis_en.md new file mode 100644 index 0000000000000..1041c02a13d7c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-twitter_sentiment_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_sentiment_analysis DistilBertForSequenceClassification from vickylin21 +author: John Snow Labs +name: twitter_sentiment_analysis +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis` is a English model originally trained by vickylin21. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_en_5.2.2_3.0_1703878065771.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_en_5.2.2_3.0_1703878065771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_sentiment_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vickylin21/Twitter_sentiment_analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_02_en.md b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_02_en.md new file mode 100644 index 0000000000000..ab72a0ae45cd2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_02_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English unwanted_detector_distilbert_02 DistilBertForSequenceClassification from JeanMachado +author: John Snow Labs +name: unwanted_detector_distilbert_02 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unwanted_detector_distilbert_02` is a English model originally trained by JeanMachado. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_02_en_5.2.2_3.0_1703887583162.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_02_en_5.2.2_3.0_1703887583162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_02","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_02","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|unwanted_detector_distilbert_02| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JeanMachado/unwanted_detector_distilbert_02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_04_en.md b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_04_en.md new file mode 100644 index 0000000000000..087506ccbc3c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_04_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English unwanted_detector_distilbert_04 DistilBertForSequenceClassification from JeanMachado +author: John Snow Labs +name: unwanted_detector_distilbert_04 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unwanted_detector_distilbert_04` is a English model originally trained by JeanMachado. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_04_en_5.2.2_3.0_1703888855782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_04_en_5.2.2_3.0_1703888855782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_04","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_04","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|unwanted_detector_distilbert_04| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JeanMachado/unwanted_detector_distilbert_04 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_05_en.md b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_05_en.md new file mode 100644 index 0000000000000..b7ba43402502a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-unwanted_detector_distilbert_05_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English unwanted_detector_distilbert_05 DistilBertForSequenceClassification from JeanMachado +author: John Snow Labs +name: unwanted_detector_distilbert_05 +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unwanted_detector_distilbert_05` is a English model originally trained by JeanMachado. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_05_en_5.2.2_3.0_1703893428002.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unwanted_detector_distilbert_05_en_5.2.2_3.0_1703893428002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_05","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("unwanted_detector_distilbert_05","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|unwanted_detector_distilbert_05| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JeanMachado/unwanted_detector_distilbert_05 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-v14_fine_grained_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-29-v14_fine_grained_distilbert_en.md new file mode 100644 index 0000000000000..17db729431ac1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-v14_fine_grained_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English v14_fine_grained_distilbert DistilBertForSequenceClassification from harshuos +author: John Snow Labs +name: v14_fine_grained_distilbert +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`v14_fine_grained_distilbert` is a English model originally trained by harshuos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/v14_fine_grained_distilbert_en_5.2.2_3.0_1703885922087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/v14_fine_grained_distilbert_en_5.2.2_3.0_1703885922087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("v14_fine_grained_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("v14_fine_grained_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|v14_fine_grained_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/harshuos/V14_Fine-grained-Distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-vulnfixclassification_distilbert_dcmb_en.md b/docs/_posts/ahmedlone127/2023-12-29-vulnfixclassification_distilbert_dcmb_en.md new file mode 100644 index 0000000000000..0c0a0d8c34153 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-vulnfixclassification_distilbert_dcmb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English vulnfixclassification_distilbert_dcmb DistilBertForSequenceClassification from neuralsentry +author: John Snow Labs +name: vulnfixclassification_distilbert_dcmb +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vulnfixclassification_distilbert_dcmb` is a English model originally trained by neuralsentry. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vulnfixclassification_distilbert_dcmb_en_5.2.2_3.0_1703882176717.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vulnfixclassification_distilbert_dcmb_en_5.2.2_3.0_1703882176717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("vulnfixclassification_distilbert_dcmb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("vulnfixclassification_distilbert_dcmb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|vulnfixclassification_distilbert_dcmb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/neuralsentry/vulnfixClassification-DistilBERT-DCMB \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-yacov_athena_distilbertsc_en.md b/docs/_posts/ahmedlone127/2023-12-29-yacov_athena_distilbertsc_en.md new file mode 100644 index 0000000000000..26b4329825711 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-yacov_athena_distilbertsc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English yacov_athena_distilbertsc DistilBertForSequenceClassification from yacov +author: John Snow Labs +name: yacov_athena_distilbertsc +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yacov_athena_distilbertsc` is a English model originally trained by yacov. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yacov_athena_distilbertsc_en_5.2.2_3.0_1703873462357.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yacov_athena_distilbertsc_en_5.2.2_3.0_1703873462357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("yacov_athena_distilbertsc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("yacov_athena_distilbertsc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|yacov_athena_distilbertsc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yacov/yacov-athena-DistilBertSC \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-younge_distilbert_sent_analysis_model_en.md b/docs/_posts/ahmedlone127/2023-12-29-younge_distilbert_sent_analysis_model_en.md new file mode 100644 index 0000000000000..bcdf31d0cd9bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-younge_distilbert_sent_analysis_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English younge_distilbert_sent_analysis_model DistilBertForSequenceClassification from eyounge +author: John Snow Labs +name: younge_distilbert_sent_analysis_model +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`younge_distilbert_sent_analysis_model` is a English model originally trained by eyounge. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/younge_distilbert_sent_analysis_model_en_5.2.2_3.0_1703883599651.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/younge_distilbert_sent_analysis_model_en_5.2.2_3.0_1703883599651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("younge_distilbert_sent_analysis_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("younge_distilbert_sent_analysis_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|younge_distilbert_sent_analysis_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eyounge/younge-distilbert-sent-analysis-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-29-ysda_2022_ml2_hw3_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-12-29-ysda_2022_ml2_hw3_distilbert_base_uncased_en.md new file mode 100644 index 0000000000000..55048bb0e0778 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-29-ysda_2022_ml2_hw3_distilbert_base_uncased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ysda_2022_ml2_hw3_distilbert_base_uncased DistilBertForSequenceClassification from istassiy +author: John Snow Labs +name: ysda_2022_ml2_hw3_distilbert_base_uncased +date: 2023-12-29 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ysda_2022_ml2_hw3_distilbert_base_uncased` is a English model originally trained by istassiy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ysda_2022_ml2_hw3_distilbert_base_uncased_en_5.2.2_3.0_1703876216666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ysda_2022_ml2_hw3_distilbert_base_uncased_en_5.2.2_3.0_1703876216666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ysda_2022_ml2_hw3_distilbert_base_uncased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ysda_2022_ml2_hw3_distilbert_base_uncased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ysda_2022_ml2_hw3_distilbert_base_uncased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/istassiy/ysda_2022_ml2_hw3_distilbert_base_uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-02_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-02_model_en.md new file mode 100644 index 0000000000000..4ddcc83c1e965 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-02_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 02_model DistilBertForSequenceClassification from hannoh +author: John Snow Labs +name: 02_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`02_model` is a English model originally trained by hannoh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/02_model_en_5.2.2_3.0_1703895007938.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/02_model_en_5.2.2_3.0_1703895007938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("02_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("02_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|02_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hannoh/02_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-156_textcat_411_test_en.md b/docs/_posts/ahmedlone127/2023-12-30-156_textcat_411_test_en.md new file mode 100644 index 0000000000000..84153bf1c3e8a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-156_textcat_411_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 156_textcat_411_test DistilBertForSequenceClassification from hucruz +author: John Snow Labs +name: 156_textcat_411_test +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`156_textcat_411_test` is a English model originally trained by hucruz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/156_textcat_411_test_en_5.2.2_3.0_1703966859374.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/156_textcat_411_test_en_5.2.2_3.0_1703966859374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("156_textcat_411_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("156_textcat_411_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|156_textcat_411_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/hucruz/156-textcat-411-test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_1e_en.md b/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_1e_en.md new file mode 100644 index 0000000000000..ddd2266134d15 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_1e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 20ng_raw_distilbert_1e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: 20ng_raw_distilbert_1e +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20ng_raw_distilbert_1e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20ng_raw_distilbert_1e_en_5.2.2_3.0_1703936438396.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20ng_raw_distilbert_1e_en_5.2.2_3.0_1703936438396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_raw_distilbert_1e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_raw_distilbert_1e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|20ng_raw_distilbert_1e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/20NG_raw_DistilBERT_1E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_5e_en.md new file mode 100644 index 0000000000000..73c9ab627e164 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-20ng_raw_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 20ng_raw_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: 20ng_raw_distilbert_5e +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20ng_raw_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20ng_raw_distilbert_5e_en_5.2.2_3.0_1703936028707.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20ng_raw_distilbert_5e_en_5.2.2_3.0_1703936028707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_raw_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_raw_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|20ng_raw_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/20NG_raw_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-2146_en.md b/docs/_posts/ahmedlone127/2023-12-30-2146_en.md new file mode 100644 index 0000000000000..fd13c822d0eeb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-2146_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 2146 DistilBertForSequenceClassification from mhpanju +author: John Snow Labs +name: 2146 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2146` is a English model originally trained by mhpanju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2146_en_5.2.2_3.0_1703935090994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2146_en_5.2.2_3.0_1703935090994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("2146","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("2146","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|2146| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mhpanju/2146 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-2_intercalado_id23_en.md b/docs/_posts/ahmedlone127/2023-12-30-2_intercalado_id23_en.md new file mode 100644 index 0000000000000..70aae53a79533 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-2_intercalado_id23_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 2_intercalado_id23 DistilBertForSequenceClassification from manarea +author: John Snow Labs +name: 2_intercalado_id23 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2_intercalado_id23` is a English model originally trained by manarea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2_intercalado_id23_en_5.2.2_3.0_1703933808220.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2_intercalado_id23_en_5.2.2_3.0_1703933808220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("2_intercalado_id23","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("2_intercalado_id23","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|2_intercalado_id23| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|223.0 MB| + +## References + +https://huggingface.co/manarea/2-Intercalado-ID23 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-5718_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-5718_2_en.md new file mode 100644 index 0000000000000..764bb0df458b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-5718_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 5718_2 DistilBertForSequenceClassification from mhpanju +author: John Snow Labs +name: 5718_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`5718_2` is a English model originally trained by mhpanju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/5718_2_en_5.2.2_3.0_1703934536034.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/5718_2_en_5.2.2_3.0_1703934536034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|5718_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mhpanju/5718_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-5718_en.md b/docs/_posts/ahmedlone127/2023-12-30-5718_en.md new file mode 100644 index 0000000000000..220703703a891 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-5718_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 5718 DistilBertForSequenceClassification from mhpanju +author: John Snow Labs +name: 5718 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`5718` is a English model originally trained by mhpanju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/5718_en_5.2.2_3.0_1703896752557.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/5718_en_5.2.2_3.0_1703896752557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|5718| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mhpanju/5718 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-a01793101_finetuning_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-a01793101_finetuning_sentiment_model_3000_samples_en.md new file mode 100644 index 0000000000000..4dd6961ae5385 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-a01793101_finetuning_sentiment_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English a01793101_finetuning_sentiment_model_3000_samples DistilBertForSequenceClassification from memotirre90 +author: John Snow Labs +name: a01793101_finetuning_sentiment_model_3000_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a01793101_finetuning_sentiment_model_3000_samples` is a English model originally trained by memotirre90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/a01793101_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1703946584630.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a01793101_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1703946584630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("a01793101_finetuning_sentiment_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("a01793101_finetuning_sentiment_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|a01793101_finetuning_sentiment_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/memotirre90/A01793101-finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-active_learn_ukr_en.md b/docs/_posts/ahmedlone127/2023-12-30-active_learn_ukr_en.md new file mode 100644 index 0000000000000..7b5067469a61c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-active_learn_ukr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English active_learn_ukr DistilBertForSequenceClassification from kama-brown +author: John Snow Labs +name: active_learn_ukr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`active_learn_ukr` is a English model originally trained by kama-brown. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/active_learn_ukr_en_5.2.2_3.0_1703945527739.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/active_learn_ukr_en_5.2.2_3.0_1703945527739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_ukr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_ukr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|active_learn_ukr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kama-brown/active_learn_ukr \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-advfee_tzeppy1_en.md b/docs/_posts/ahmedlone127/2023-12-30-advfee_tzeppy1_en.md new file mode 100644 index 0000000000000..d10995d473ae2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-advfee_tzeppy1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English advfee_tzeppy1 DistilBertForSequenceClassification from tzeppy25 +author: John Snow Labs +name: advfee_tzeppy1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`advfee_tzeppy1` is a English model originally trained by tzeppy25. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/advfee_tzeppy1_en_5.2.2_3.0_1703936466177.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/advfee_tzeppy1_en_5.2.2_3.0_1703936466177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("advfee_tzeppy1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("advfee_tzeppy1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|advfee_tzeppy1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tzeppy25/advfee_tzeppy1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-ai_22_23_final_project_en.md b/docs/_posts/ahmedlone127/2023-12-30-ai_22_23_final_project_en.md new file mode 100644 index 0000000000000..9b2c7ff8a9b71 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-ai_22_23_final_project_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ai_22_23_final_project DistilBertForSequenceClassification from Tonywu233 +author: John Snow Labs +name: ai_22_23_final_project +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_22_23_final_project` is a English model originally trained by Tonywu233. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_22_23_final_project_en_5.2.2_3.0_1703948422110.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_22_23_final_project_en_5.2.2_3.0_1703948422110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai_22_23_final_project","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai_22_23_final_project","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ai_22_23_final_project| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tonywu233/AI_22-23_final_project \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-all_minilm_l6_v2_en.md b/docs/_posts/ahmedlone127/2023-12-30-all_minilm_l6_v2_en.md new file mode 100644 index 0000000000000..acfb6b35f5121 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-all_minilm_l6_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English all_minilm_l6_v2 DistilBertForSequenceClassification from nickzizos +author: John Snow Labs +name: all_minilm_l6_v2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_minilm_l6_v2` is a English model originally trained by nickzizos. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_en_5.2.2_3.0_1703910145923.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_en_5.2.2_3.0_1703910145923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("all_minilm_l6_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("all_minilm_l6_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|all_minilm_l6_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nickzizos/all-MiniLM-L6-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-amazon_product_classifier_epoch_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-amazon_product_classifier_epoch_2_en.md new file mode 100644 index 0000000000000..d14db370fbcc3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-amazon_product_classifier_epoch_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English amazon_product_classifier_epoch_2 DistilBertForSequenceClassification from nthieu +author: John Snow Labs +name: amazon_product_classifier_epoch_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_product_classifier_epoch_2` is a English model originally trained by nthieu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_product_classifier_epoch_2_en_5.2.2_3.0_1703900096176.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_product_classifier_epoch_2_en_5.2.2_3.0_1703900096176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_product_classifier_epoch_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("amazon_product_classifier_epoch_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|amazon_product_classifier_epoch_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nthieu/amazon-product-classifier-epoch-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-apollo_small_0505_en.md b/docs/_posts/ahmedlone127/2023-12-30-apollo_small_0505_en.md new file mode 100644 index 0000000000000..2a94c95c214b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-apollo_small_0505_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English apollo_small_0505 DistilBertForSequenceClassification from saraks-apollo +author: John Snow Labs +name: apollo_small_0505 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`apollo_small_0505` is a English model originally trained by saraks-apollo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/apollo_small_0505_en_5.2.2_3.0_1703901125001.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/apollo_small_0505_en_5.2.2_3.0_1703901125001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("apollo_small_0505","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("apollo_small_0505","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|apollo_small_0505| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/saraks-apollo/apollo_small_0505 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-appsi_cristina_fdez_en.md b/docs/_posts/ahmedlone127/2023-12-30-appsi_cristina_fdez_en.md new file mode 100644 index 0000000000000..10fd32c7d7907 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-appsi_cristina_fdez_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English appsi_cristina_fdez DistilBertForSequenceClassification from cristina-fdez +author: John Snow Labs +name: appsi_cristina_fdez +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`appsi_cristina_fdez` is a English model originally trained by cristina-fdez. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/appsi_cristina_fdez_en_5.2.2_3.0_1703938814686.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/appsi_cristina_fdez_en_5.2.2_3.0_1703938814686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("appsi_cristina_fdez","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("appsi_cristina_fdez","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|appsi_cristina_fdez| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cristina-fdez/appsI \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-appsi_lxi19_en.md b/docs/_posts/ahmedlone127/2023-12-30-appsi_lxi19_en.md new file mode 100644 index 0000000000000..7391eab10ab08 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-appsi_lxi19_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English appsi_lxi19 DistilBertForSequenceClassification from lxi19 +author: John Snow Labs +name: appsi_lxi19 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`appsi_lxi19` is a English model originally trained by lxi19. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/appsi_lxi19_en_5.2.2_3.0_1703919021187.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/appsi_lxi19_en_5.2.2_3.0_1703919021187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("appsi_lxi19","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("appsi_lxi19","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|appsi_lxi19| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lxi19/appsI \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-article_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-30-article_classifier_en.md new file mode 100644 index 0000000000000..cc8b884b8e579 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-article_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English article_classifier DistilBertForSequenceClassification from b2-maxim +author: John Snow Labs +name: article_classifier +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_classifier` is a English model originally trained by b2-maxim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_classifier_en_5.2.2_3.0_1703900927457.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_classifier_en_5.2.2_3.0_1703900927457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("article_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("article_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|article_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/b2-maxim/article-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autosend_en.md b/docs/_posts/ahmedlone127/2023-12-30-autosend_en.md new file mode 100644 index 0000000000000..8a0044eb86508 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autosend_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autosend DistilBertForSequenceClassification from Yanjie +author: John Snow Labs +name: autosend +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autosend` is a English model originally trained by Yanjie. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autosend_en_5.2.2_3.0_1703904691946.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autosend_en_5.2.2_3.0_1703904691946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autosend","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autosend","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autosend| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/Yanjie/autosend \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autotrain_artunit_50_500_2970786289_en.md b/docs/_posts/ahmedlone127/2023-12-30-autotrain_artunit_50_500_2970786289_en.md new file mode 100644 index 0000000000000..cee66a950656d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autotrain_artunit_50_500_2970786289_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_artunit_50_500_2970786289 DistilBertForSequenceClassification from RowanTELSCorp +author: John Snow Labs +name: autotrain_artunit_50_500_2970786289 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_artunit_50_500_2970786289` is a English model originally trained by RowanTELSCorp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_artunit_50_500_2970786289_en_5.2.2_3.0_1703895325143.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_artunit_50_500_2970786289_en_5.2.2_3.0_1703895325143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_artunit_50_500_2970786289","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_artunit_50_500_2970786289","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_artunit_50_500_2970786289| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.1 MB| + +## References + +https://huggingface.co/RowanTELSCorp/autotrain-artunit-50-500-2970786289 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autotrain_distilbert_tweeteval_1281148993_en.md b/docs/_posts/ahmedlone127/2023-12-30-autotrain_distilbert_tweeteval_1281148993_en.md new file mode 100644 index 0000000000000..41ec181dbcb1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autotrain_distilbert_tweeteval_1281148993_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_distilbert_tweeteval_1281148993 DistilBertForSequenceClassification from sasha +author: John Snow Labs +name: autotrain_distilbert_tweeteval_1281148993 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_tweeteval_1281148993` is a English model originally trained by sasha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148993_en_5.2.2_3.0_1703895653430.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_tweeteval_1281148993_en_5.2.2_3.0_1703895653430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148993","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_distilbert_tweeteval_1281148993","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_distilbert_tweeteval_1281148993| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sasha/autotrain-DistilBERT-TweetEval-1281148993 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autotrain_hhmpredictivev3_65823136268_en.md b/docs/_posts/ahmedlone127/2023-12-30-autotrain_hhmpredictivev3_65823136268_en.md new file mode 100644 index 0000000000000..eea34ec137929 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autotrain_hhmpredictivev3_65823136268_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_hhmpredictivev3_65823136268 DistilBertForSequenceClassification from MarketingHHM +author: John Snow Labs +name: autotrain_hhmpredictivev3_65823136268 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_hhmpredictivev3_65823136268` is a English model originally trained by MarketingHHM. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_hhmpredictivev3_65823136268_en_5.2.2_3.0_1703965695235.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_hhmpredictivev3_65823136268_en_5.2.2_3.0_1703965695235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_hhmpredictivev3_65823136268","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_hhmpredictivev3_65823136268","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_hhmpredictivev3_65823136268| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/MarketingHHM/autotrain-hhmpredictivev3-65823136268 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136104_en.md b/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136104_en.md new file mode 100644 index 0000000000000..68ec1abaa3a5d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136104_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_predictiveoutcomes_transcripts_65215136104 DistilBertForSequenceClassification from MarketingHHM +author: John Snow Labs +name: autotrain_predictiveoutcomes_transcripts_65215136104 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_predictiveoutcomes_transcripts_65215136104` is a English model originally trained by MarketingHHM. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_predictiveoutcomes_transcripts_65215136104_en_5.2.2_3.0_1703964026174.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_predictiveoutcomes_transcripts_65215136104_en_5.2.2_3.0_1703964026174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_predictiveoutcomes_transcripts_65215136104","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_predictiveoutcomes_transcripts_65215136104","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_predictiveoutcomes_transcripts_65215136104| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136104 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136105_en.md b/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136105_en.md new file mode 100644 index 0000000000000..b8da3a8bfd942 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-autotrain_predictiveoutcomes_transcripts_65215136105_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_predictiveoutcomes_transcripts_65215136105 DistilBertForSequenceClassification from MarketingHHM +author: John Snow Labs +name: autotrain_predictiveoutcomes_transcripts_65215136105 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_predictiveoutcomes_transcripts_65215136105` is a English model originally trained by MarketingHHM. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_predictiveoutcomes_transcripts_65215136105_en_5.2.2_3.0_1703965692951.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_predictiveoutcomes_transcripts_65215136105_en_5.2.2_3.0_1703965692951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_predictiveoutcomes_transcripts_65215136105","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_predictiveoutcomes_transcripts_65215136105","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_predictiveoutcomes_transcripts_65215136105| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136105 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bch_finetuning_sentiment_model_3000_samples_bchevva_en.md b/docs/_posts/ahmedlone127/2023-12-30-bch_finetuning_sentiment_model_3000_samples_bchevva_en.md new file mode 100644 index 0000000000000..30bd718dd0e25 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bch_finetuning_sentiment_model_3000_samples_bchevva_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bch_finetuning_sentiment_model_3000_samples_bchevva DistilBertForSequenceClassification from BChevva +author: John Snow Labs +name: bch_finetuning_sentiment_model_3000_samples_bchevva +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bch_finetuning_sentiment_model_3000_samples_bchevva` is a English model originally trained by BChevva. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bch_finetuning_sentiment_model_3000_samples_bchevva_en_5.2.2_3.0_1703976813107.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bch_finetuning_sentiment_model_3000_samples_bchevva_en_5.2.2_3.0_1703976813107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bch_finetuning_sentiment_model_3000_samples_bchevva","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bch_finetuning_sentiment_model_3000_samples_bchevva","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bch_finetuning_sentiment_model_3000_samples_bchevva| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BChevva/bch-finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_abhijna1234_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_abhijna1234_en.md new file mode 100644 index 0000000000000..27abbadd38dcd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_abhijna1234_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_abhijna1234 DistilBertForSequenceClassification from abhijna1234 +author: John Snow Labs +name: bert_abhijna1234 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_abhijna1234` is a English model originally trained by abhijna1234. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_abhijna1234_en_5.2.2_3.0_1703979752684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_abhijna1234_en_5.2.2_3.0_1703979752684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_abhijna1234","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_abhijna1234","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_abhijna1234| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abhijna1234/bert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch_en.md new file mode 100644 index 0000000000000..53c39764695c5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch DistilBertForSequenceClassification from nickapch +author: John Snow Labs +name: bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch` is a English model originally trained by nickapch. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch_en_5.2.2_3.0_1703898738532.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch_en_5.2.2_3.0_1703898738532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nickapch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nickapch/bert-base-uncased-finetuned-clinc_oos-distilled-clinc_oos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan_en.md new file mode 100644 index 0000000000000..107c309a7a3eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan DistilBertForSequenceClassification from nikitakapitan +author: John Snow Labs +name: bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan` is a English model originally trained by nikitakapitan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan_en_5.2.2_3.0_1703950267995.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan_en_5.2.2_3.0_1703950267995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_base_uncased_finetuned_clinc_oos_distilled_clinc_oos_nikitakapitan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nikitakapitan/bert-base-uncased-finetuned-clinc_oos-distilled-clinc_oos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_emotion_hcollier_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_emotion_hcollier_en.md new file mode 100644 index 0000000000000..8bee68b45f477 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_emotion_hcollier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_emotion_hcollier DistilBertForSequenceClassification from hcollier +author: John Snow Labs +name: bert_emotion_hcollier +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_hcollier` is a English model originally trained by hcollier. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_hcollier_en_5.2.2_3.0_1703934491431.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_hcollier_en_5.2.2_3.0_1703934491431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_hcollier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_hcollier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_emotion_hcollier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/hcollier/bert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_model_nemilentsau_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_model_nemilentsau_en.md new file mode 100644 index 0000000000000..9ae871c90b7df --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_model_nemilentsau_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_nemilentsau DistilBertForSequenceClassification from nemilentsau +author: John Snow Labs +name: bert_model_nemilentsau +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_nemilentsau` is a English model originally trained by nemilentsau. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_nemilentsau_en_5.2.2_3.0_1703966367369.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_nemilentsau_en_5.2.2_3.0_1703966367369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_nemilentsau","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_nemilentsau","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_nemilentsau| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nemilentsau/bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_model_soumyasinha_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_model_soumyasinha_en.md new file mode 100644 index 0000000000000..86ea74e1ee131 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_model_soumyasinha_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_soumyasinha DistilBertForSequenceClassification from soumyasinha +author: John Snow Labs +name: bert_model_soumyasinha +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_soumyasinha` is a English model originally trained by soumyasinha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_soumyasinha_en_5.2.2_3.0_1703897278821.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_soumyasinha_en_5.2.2_3.0_1703897278821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_soumyasinha","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_soumyasinha","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_soumyasinha| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/soumyasinha/BERT_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_shivam2001_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_shivam2001_en.md new file mode 100644 index 0000000000000..16fb5d65c7d4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_shivam2001_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_shivam2001 DistilBertForSequenceClassification from shivam2001 +author: John Snow Labs +name: bert_shivam2001 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_shivam2001` is a English model originally trained by shivam2001. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_shivam2001_en_5.2.2_3.0_1703902527266.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_shivam2001_en_5.2.2_3.0_1703902527266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_shivam2001","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_shivam2001","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_shivam2001| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shivam2001/BERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bert_turkish_emotion_deprecated_en.md b/docs/_posts/ahmedlone127/2023-12-30-bert_turkish_emotion_deprecated_en.md new file mode 100644 index 0000000000000..14dfa36bcffd8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bert_turkish_emotion_deprecated_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_turkish_emotion_deprecated DistilBertForSequenceClassification from alperengozeten +author: John Snow Labs +name: bert_turkish_emotion_deprecated +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_turkish_emotion_deprecated` is a English model originally trained by alperengozeten. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_turkish_emotion_deprecated_en_5.2.2_3.0_1703915214045.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_turkish_emotion_deprecated_en_5.2.2_3.0_1703915214045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_turkish_emotion_deprecated","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_turkish_emotion_deprecated","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_turkish_emotion_deprecated| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|414.3 MB| + +## References + +https://huggingface.co/alperengozeten/bert-turkish-emotion-deprecated \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-binary_classification_not_evaluated_en.md b/docs/_posts/ahmedlone127/2023-12-30-binary_classification_not_evaluated_en.md new file mode 100644 index 0000000000000..c1ce043407e41 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-binary_classification_not_evaluated_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English binary_classification_not_evaluated DistilBertForSequenceClassification from autoevaluate +author: John Snow Labs +name: binary_classification_not_evaluated +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_classification_not_evaluated` is a English model originally trained by autoevaluate. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_classification_not_evaluated_en_5.2.2_3.0_1703895157790.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_classification_not_evaluated_en_5.2.2_3.0_1703895157790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("binary_classification_not_evaluated","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("binary_classification_not_evaluated","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|binary_classification_not_evaluated| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/autoevaluate/binary-classification-not-evaluated \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-binary_text_classification_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-binary_text_classification_model_en.md new file mode 100644 index 0000000000000..d7af29910e56d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-binary_text_classification_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English binary_text_classification_model DistilBertForSequenceClassification from coding-gen +author: John Snow Labs +name: binary_text_classification_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_text_classification_model` is a English model originally trained by coding-gen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_text_classification_model_en_5.2.2_3.0_1703895161824.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_text_classification_model_en_5.2.2_3.0_1703895161824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("binary_text_classification_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("binary_text_classification_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|binary_text_classification_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/coding-gen/binary_text_classification_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-bullying_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-bullying_model_en.md new file mode 100644 index 0000000000000..9fd5830df03a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-bullying_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bullying_model DistilBertForSequenceClassification from Maaz66 +author: John Snow Labs +name: bullying_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bullying_model` is a English model originally trained by Maaz66. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bullying_model_en_5.2.2_3.0_1703966696186.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bullying_model_en_5.2.2_3.0_1703966696186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bullying_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bullying_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bullying_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Maaz66/bullying_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model1_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model1_en.md new file mode 100644 index 0000000000000..f8d23077dcbfc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model1 DistilBertForSequenceClassification from koreadaeil +author: John Snow Labs +name: burmese_awesome_model1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model1` is a English model originally trained by koreadaeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model1_en_5.2.2_3.0_1703943938708.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model1_en_5.2.2_3.0_1703943938708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/koreadaeil/my_awesome_model1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_koreadaeil_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_koreadaeil_en.md new file mode 100644 index 0000000000000..feaafd2c6533f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_koreadaeil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model3_koreadaeil DistilBertForSequenceClassification from koreadaeil +author: John Snow Labs +name: burmese_awesome_model3_koreadaeil +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model3_koreadaeil` is a English model originally trained by koreadaeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model3_koreadaeil_en_5.2.2_3.0_1703934937272.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model3_koreadaeil_en_5.2.2_3.0_1703934937272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model3_koreadaeil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model3_koreadaeil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model3_koreadaeil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/koreadaeil/my_awesome_model3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_theolepere_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_theolepere_en.md new file mode 100644 index 0000000000000..3965a498c8f84 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model3_theolepere_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model3_theolepere DistilBertForSequenceClassification from TheoLepere +author: John Snow Labs +name: burmese_awesome_model3_theolepere +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model3_theolepere` is a English model originally trained by TheoLepere. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model3_theolepere_en_5.2.2_3.0_1703944002061.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model3_theolepere_en_5.2.2_3.0_1703944002061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model3_theolepere","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model3_theolepere","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model3_theolepere| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/TheoLepere/my_awesome_model3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model4_koreadaeil_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model4_koreadaeil_en.md new file mode 100644 index 0000000000000..5beb8d937e8b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model4_koreadaeil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model4_koreadaeil DistilBertForSequenceClassification from koreadaeil +author: John Snow Labs +name: burmese_awesome_model4_koreadaeil +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model4_koreadaeil` is a English model originally trained by koreadaeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_koreadaeil_en_5.2.2_3.0_1703965430791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_koreadaeil_en_5.2.2_3.0_1703965430791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_koreadaeil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_koreadaeil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model4_koreadaeil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/koreadaeil/my_awesome_model4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model5_koreadaeil_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model5_koreadaeil_en.md new file mode 100644 index 0000000000000..0a0e0ec6e7ead --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model5_koreadaeil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model5_koreadaeil DistilBertForSequenceClassification from koreadaeil +author: John Snow Labs +name: burmese_awesome_model5_koreadaeil +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model5_koreadaeil` is a English model originally trained by koreadaeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model5_koreadaeil_en_5.2.2_3.0_1703963852934.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model5_koreadaeil_en_5.2.2_3.0_1703963852934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model5_koreadaeil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model5_koreadaeil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model5_koreadaeil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/koreadaeil/my_awesome_model5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_10_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_10_en.md new file mode 100644 index 0000000000000..1c1b34401f191 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_10 DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_10 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_10` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_10_en_5.2.2_3.0_1703942594393.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_10_en_5.2.2_3.0_1703942594393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_10 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_2_akulyat_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_2_akulyat_en.md new file mode 100644 index 0000000000000..5018c37ceea59 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_2_akulyat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_akulyat DistilBertForSequenceClassification from Akulyat +author: John Snow Labs +name: burmese_awesome_model_2_akulyat +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_akulyat` is a English model originally trained by Akulyat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_akulyat_en_5.2.2_3.0_1703941841178.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_akulyat_en_5.2.2_3.0_1703941841178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_akulyat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_akulyat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_akulyat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Akulyat/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_3_alexc98_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_3_alexc98_en.md new file mode 100644 index 0000000000000..fcc77cd41fd94 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_3_alexc98_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_3_alexc98 DistilBertForSequenceClassification from AlexC98 +author: John Snow Labs +name: burmese_awesome_model_3_alexc98 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_3_alexc98` is a English model originally trained by AlexC98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_3_alexc98_en_5.2.2_3.0_1703907007279.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_3_alexc98_en_5.2.2_3.0_1703907007279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_3_alexc98","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_3_alexc98","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_3_alexc98| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AlexC98/my_awesome_model_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_4_atndel_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_4_atndel_en.md new file mode 100644 index 0000000000000..969739529e72d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_4_atndel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_4_atndel DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_4_atndel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_4_atndel` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_4_atndel_en_5.2.2_3.0_1703911897595.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_4_atndel_en_5.2.2_3.0_1703911897595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_4_atndel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_4_atndel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_4_atndel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_5_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_5_en.md new file mode 100644 index 0000000000000..f48ff0bbc4dda --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_5 DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_5 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_5` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_5_en_5.2.2_3.0_1703977558772.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_5_en_5.2.2_3.0_1703977558772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_9_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_9_en.md new file mode 100644 index 0000000000000..466a90a3418ad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_9 DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_9 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_9` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_9_en_5.2.2_3.0_1703900289816.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_9_en_5.2.2_3.0_1703900289816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_9 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_adisrini11_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_adisrini11_en.md new file mode 100644 index 0000000000000..e10f4949c3ebb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_adisrini11_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_adisrini11 DistilBertForSequenceClassification from adisrini11 +author: John Snow Labs +name: burmese_awesome_model_adisrini11 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_adisrini11` is a English model originally trained by adisrini11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adisrini11_en_5.2.2_3.0_1703979000596.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adisrini11_en_5.2.2_3.0_1703979000596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_adisrini11","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_adisrini11","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_adisrini11| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/adisrini11/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_amaiasolaun_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_amaiasolaun_en.md new file mode 100644 index 0000000000000..4f1859633f5a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_amaiasolaun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_amaiasolaun DistilBertForSequenceClassification from AmaiaSolaun +author: John Snow Labs +name: burmese_awesome_model_amaiasolaun +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_amaiasolaun` is a English model originally trained by AmaiaSolaun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_amaiasolaun_en_5.2.2_3.0_1703933504903.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_amaiasolaun_en_5.2.2_3.0_1703933504903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_amaiasolaun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_amaiasolaun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_amaiasolaun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AmaiaSolaun/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_arsalan7_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_arsalan7_en.md new file mode 100644 index 0000000000000..c2eda86d6df3d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_arsalan7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_arsalan7 DistilBertForSequenceClassification from Arsalan7 +author: John Snow Labs +name: burmese_awesome_model_arsalan7 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_arsalan7` is a English model originally trained by Arsalan7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_arsalan7_en_5.2.2_3.0_1703897749054.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_arsalan7_en_5.2.2_3.0_1703897749054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_arsalan7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_arsalan7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_arsalan7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Arsalan7/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_chunwoolee0_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_chunwoolee0_en.md new file mode 100644 index 0000000000000..e168f394b96d6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_chunwoolee0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_chunwoolee0 DistilBertForSequenceClassification from chunwoolee0 +author: John Snow Labs +name: burmese_awesome_model_chunwoolee0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_chunwoolee0` is a English model originally trained by chunwoolee0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chunwoolee0_en_5.2.2_3.0_1703933835516.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chunwoolee0_en_5.2.2_3.0_1703933835516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chunwoolee0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chunwoolee0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_chunwoolee0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chunwoolee0/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cmacd12_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cmacd12_en.md new file mode 100644 index 0000000000000..b2962b0d9cea6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cmacd12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_cmacd12 DistilBertForSequenceClassification from CMacD12 +author: John Snow Labs +name: burmese_awesome_model_cmacd12 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_cmacd12` is a English model originally trained by CMacD12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cmacd12_en_5.2.2_3.0_1703900459816.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cmacd12_en_5.2.2_3.0_1703900459816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cmacd12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cmacd12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_cmacd12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CMacD12/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cvint91_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cvint91_en.md new file mode 100644 index 0000000000000..498950aabae0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_cvint91_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_cvint91 DistilBertForSequenceClassification from cvint91 +author: John Snow Labs +name: burmese_awesome_model_cvint91 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_cvint91` is a English model originally trained by cvint91. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cvint91_en_5.2.2_3.0_1703941024054.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cvint91_en_5.2.2_3.0_1703941024054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cvint91","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cvint91","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_cvint91| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cvint91/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_dhruvphansalkar_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_dhruvphansalkar_en.md new file mode 100644 index 0000000000000..314603c71d9f1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_dhruvphansalkar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_dhruvphansalkar DistilBertForSequenceClassification from DhruvPhansalkar +author: John Snow Labs +name: burmese_awesome_model_dhruvphansalkar +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dhruvphansalkar` is a English model originally trained by DhruvPhansalkar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dhruvphansalkar_en_5.2.2_3.0_1703898034792.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dhruvphansalkar_en_5.2.2_3.0_1703898034792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dhruvphansalkar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dhruvphansalkar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_dhruvphansalkar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|243.8 MB| + +## References + +https://huggingface.co/DhruvPhansalkar/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_doyle26_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_doyle26_en.md new file mode 100644 index 0000000000000..e95b25ad6bbb8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_doyle26_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_doyle26 DistilBertForSequenceClassification from Doyle26 +author: John Snow Labs +name: burmese_awesome_model_doyle26 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_doyle26` is a English model originally trained by Doyle26. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_doyle26_en_5.2.2_3.0_1703969831649.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_doyle26_en_5.2.2_3.0_1703969831649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_doyle26","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_doyle26","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_doyle26| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Doyle26/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_extrainfo_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_extrainfo_en.md new file mode 100644 index 0000000000000..f0b9a95b7a738 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_extrainfo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_extrainfo DistilBertForSequenceClassification from extrainfo +author: John Snow Labs +name: burmese_awesome_model_extrainfo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_extrainfo` is a English model originally trained by extrainfo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_extrainfo_en_5.2.2_3.0_1703907055009.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_extrainfo_en_5.2.2_3.0_1703907055009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_extrainfo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_extrainfo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_extrainfo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/extrainfo/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1589323_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1589323_en.md new file mode 100644 index 0000000000000..ab28434c4c6b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1589323_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_f1589323 DistilBertForSequenceClassification from F1589323 +author: John Snow Labs +name: burmese_awesome_model_f1589323 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_f1589323` is a English model originally trained by F1589323. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_f1589323_en_5.2.2_3.0_1703978633231.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_f1589323_en_5.2.2_3.0_1703978633231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_f1589323","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_f1589323","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_f1589323| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/F1589323/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1_en.md new file mode 100644 index 0000000000000..dfee1872677b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_f1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_f1 DistilBertForSequenceClassification from TheoLepere +author: John Snow Labs +name: burmese_awesome_model_f1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_f1` is a English model originally trained by TheoLepere. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_f1_en_5.2.2_3.0_1703972767757.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_f1_en_5.2.2_3.0_1703972767757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_f1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_f1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_f1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TheoLepere/my_awesome_model_f1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacksprat_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacksprat_en.md new file mode 100644 index 0000000000000..c01ad6dfddc70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacksprat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jacksprat DistilBertForSequenceClassification from jacksprat +author: John Snow Labs +name: burmese_awesome_model_jacksprat +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jacksprat` is a English model originally trained by jacksprat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacksprat_en_5.2.2_3.0_1703965516868.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacksprat_en_5.2.2_3.0_1703965516868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jacksprat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jacksprat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jacksprat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/jacksprat/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacou_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacou_en.md new file mode 100644 index 0000000000000..0af00731bb4de --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jacou_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jacou DistilBertForSequenceClassification from jacou +author: John Snow Labs +name: burmese_awesome_model_jacou +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jacou` is a English model originally trained by jacou. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacou_en_5.2.2_3.0_1703900604096.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacou_en_5.2.2_3.0_1703900604096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jacou","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jacou","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jacou| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jacou/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jamesng12_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jamesng12_en.md new file mode 100644 index 0000000000000..f90715042e859 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jamesng12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jamesng12 DistilBertForSequenceClassification from JamesNg12 +author: John Snow Labs +name: burmese_awesome_model_jamesng12 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jamesng12` is a English model originally trained by JamesNg12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jamesng12_en_5.2.2_3.0_1703919658281.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jamesng12_en_5.2.2_3.0_1703919658281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jamesng12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jamesng12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jamesng12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JamesNg12/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jeremyjje_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jeremyjje_en.md new file mode 100644 index 0000000000000..4fe9c124f330d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jeremyjje_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jeremyjje DistilBertForSequenceClassification from jeremyjje +author: John Snow Labs +name: burmese_awesome_model_jeremyjje +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jeremyjje` is a English model originally trained by jeremyjje. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jeremyjje_en_5.2.2_3.0_1703973672163.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jeremyjje_en_5.2.2_3.0_1703973672163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jeremyjje","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jeremyjje","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jeremyjje| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jeremyjje/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhleee_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhleee_en.md new file mode 100644 index 0000000000000..d37fb9520ccb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhleee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jhleee DistilBertForSequenceClassification from jhleee +author: John Snow Labs +name: burmese_awesome_model_jhleee +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jhleee` is a English model originally trained by jhleee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jhleee_en_5.2.2_3.0_1703971404158.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jhleee_en_5.2.2_3.0_1703971404158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jhleee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jhleee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jhleee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jhleee/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhtae0809_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhtae0809_en.md new file mode 100644 index 0000000000000..1bd664362f393 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jhtae0809_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jhtae0809 DistilBertForSequenceClassification from jhtae0809 +author: John Snow Labs +name: burmese_awesome_model_jhtae0809 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jhtae0809` is a English model originally trained by jhtae0809. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jhtae0809_en_5.2.2_3.0_1703901651077.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jhtae0809_en_5.2.2_3.0_1703901651077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jhtae0809","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jhtae0809","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jhtae0809| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jhtae0809/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jmicheli_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jmicheli_en.md new file mode 100644 index 0000000000000..9e853b206148c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_jmicheli_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jmicheli DistilBertForSequenceClassification from JMicheli +author: John Snow Labs +name: burmese_awesome_model_jmicheli +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jmicheli` is a English model originally trained by JMicheli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jmicheli_en_5.2.2_3.0_1703963952129.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jmicheli_en_5.2.2_3.0_1703963952129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jmicheli","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jmicheli","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jmicheli| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JMicheli/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_khanhthuan1995_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_khanhthuan1995_en.md new file mode 100644 index 0000000000000..6958c9ed5ee2a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_khanhthuan1995_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_khanhthuan1995 DistilBertForSequenceClassification from khanhthuan1995 +author: John Snow Labs +name: burmese_awesome_model_khanhthuan1995 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_khanhthuan1995` is a English model originally trained by khanhthuan1995. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_khanhthuan1995_en_5.2.2_3.0_1703897296855.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_khanhthuan1995_en_5.2.2_3.0_1703897296855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_khanhthuan1995","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_khanhthuan1995","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_khanhthuan1995| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/khanhthuan1995/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kreynolds03_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kreynolds03_en.md new file mode 100644 index 0000000000000..0969af5d4b3c0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kreynolds03_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_kreynolds03 DistilBertForSequenceClassification from kreynolds03 +author: John Snow Labs +name: burmese_awesome_model_kreynolds03 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kreynolds03` is a English model originally trained by kreynolds03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kreynolds03_en_5.2.2_3.0_1703899322126.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kreynolds03_en_5.2.2_3.0_1703899322126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kreynolds03","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kreynolds03","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_kreynolds03| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kreynolds03/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kumlee_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kumlee_en.md new file mode 100644 index 0000000000000..819e702ab5b58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kumlee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_kumlee DistilBertForSequenceClassification from KumLee +author: John Snow Labs +name: burmese_awesome_model_kumlee +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kumlee` is a English model originally trained by KumLee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kumlee_en_5.2.2_3.0_1703964174147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kumlee_en_5.2.2_3.0_1703964174147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kumlee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kumlee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_kumlee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/KumLee/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kwy0828_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kwy0828_en.md new file mode 100644 index 0000000000000..596ff11c4f177 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_kwy0828_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_kwy0828 DistilBertForSequenceClassification from kwy0828 +author: John Snow Labs +name: burmese_awesome_model_kwy0828 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kwy0828` is a English model originally trained by kwy0828. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kwy0828_en_5.2.2_3.0_1703895634834.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kwy0828_en_5.2.2_3.0_1703895634834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kwy0828","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kwy0828","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_kwy0828| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kwy0828/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_laymanyet_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_laymanyet_en.md new file mode 100644 index 0000000000000..28f2debf89b76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_laymanyet_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_laymanyet DistilBertForSequenceClassification from laymanyet +author: John Snow Labs +name: burmese_awesome_model_laymanyet +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_laymanyet` is a English model originally trained by laymanyet. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_laymanyet_en_5.2.2_3.0_1703964331538.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_laymanyet_en_5.2.2_3.0_1703964331538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_laymanyet","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_laymanyet","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_laymanyet| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/laymanyet/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_leon1165_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_leon1165_en.md new file mode 100644 index 0000000000000..ba5bd939eeb17 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_leon1165_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_leon1165 DistilBertForSequenceClassification from leon1165 +author: John Snow Labs +name: burmese_awesome_model_leon1165 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_leon1165` is a English model originally trained by leon1165. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_leon1165_en_5.2.2_3.0_1703964220648.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_leon1165_en_5.2.2_3.0_1703964220648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_leon1165","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_leon1165","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_leon1165| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leon1165/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_longmark_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_longmark_en.md new file mode 100644 index 0000000000000..7bca08caa0a1f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_longmark_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_longmark DistilBertForSequenceClassification from longmark +author: John Snow Labs +name: burmese_awesome_model_longmark +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_longmark` is a English model originally trained by longmark. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_longmark_en_5.2.2_3.0_1703964390321.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_longmark_en_5.2.2_3.0_1703964390321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_longmark","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_longmark","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_longmark| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/longmark/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_lucasvitoriano_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_lucasvitoriano_en.md new file mode 100644 index 0000000000000..d3d5cd5ae5e9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_lucasvitoriano_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_lucasvitoriano DistilBertForSequenceClassification from LucasVitoriano +author: John Snow Labs +name: burmese_awesome_model_lucasvitoriano +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_lucasvitoriano` is a English model originally trained by LucasVitoriano. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lucasvitoriano_en_5.2.2_3.0_1703896143407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lucasvitoriano_en_5.2.2_3.0_1703896143407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lucasvitoriano","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lucasvitoriano","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_lucasvitoriano| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LucasVitoriano/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_madhurangan_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_madhurangan_en.md new file mode 100644 index 0000000000000..a580cc41d7d98 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_madhurangan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_madhurangan DistilBertForSequenceClassification from Madhurangan +author: John Snow Labs +name: burmese_awesome_model_madhurangan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_madhurangan` is a English model originally trained by Madhurangan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_madhurangan_en_5.2.2_3.0_1703951829549.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_madhurangan_en_5.2.2_3.0_1703951829549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_madhurangan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_madhurangan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_madhurangan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Madhurangan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_mhpanju_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_mhpanju_en.md new file mode 100644 index 0000000000000..17afc35a0d621 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_mhpanju_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_mhpanju DistilBertForSequenceClassification from mhpanju +author: John Snow Labs +name: burmese_awesome_model_mhpanju +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_mhpanju` is a English model originally trained by mhpanju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mhpanju_en_5.2.2_3.0_1703911159606.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mhpanju_en_5.2.2_3.0_1703911159606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_mhpanju","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_mhpanju","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_mhpanju| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mhpanju/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_msallam_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_msallam_en.md new file mode 100644 index 0000000000000..895776b65def4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_msallam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_msallam DistilBertForSequenceClassification from Msallam +author: John Snow Labs +name: burmese_awesome_model_msallam +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_msallam` is a English model originally trained by Msallam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_msallam_en_5.2.2_3.0_1703979000586.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_msallam_en_5.2.2_3.0_1703979000586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_msallam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_msallam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_msallam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Msallam/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_overfly83_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_overfly83_en.md new file mode 100644 index 0000000000000..bce6ed66a9e61 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_overfly83_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_overfly83 DistilBertForSequenceClassification from overfly83 +author: John Snow Labs +name: burmese_awesome_model_overfly83 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_overfly83` is a English model originally trained by overfly83. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_overfly83_en_5.2.2_3.0_1703920372294.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_overfly83_en_5.2.2_3.0_1703920372294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_overfly83","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_overfly83","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_overfly83| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/overfly83/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_paulorfarah_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_paulorfarah_en.md new file mode 100644 index 0000000000000..18c7e9dee63f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_paulorfarah_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_paulorfarah DistilBertForSequenceClassification from paulorfarah +author: John Snow Labs +name: burmese_awesome_model_paulorfarah +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_paulorfarah` is a English model originally trained by paulorfarah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_paulorfarah_en_5.2.2_3.0_1703933507453.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_paulorfarah_en_5.2.2_3.0_1703933507453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_paulorfarah","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_paulorfarah","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_paulorfarah| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/paulorfarah/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pedroaugusto2001_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pedroaugusto2001_en.md new file mode 100644 index 0000000000000..e139a93ffa215 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pedroaugusto2001_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pedroaugusto2001 DistilBertForSequenceClassification from PedroAugusto2001 +author: John Snow Labs +name: burmese_awesome_model_pedroaugusto2001 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pedroaugusto2001` is a English model originally trained by PedroAugusto2001. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pedroaugusto2001_en_5.2.2_3.0_1703906208157.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pedroaugusto2001_en_5.2.2_3.0_1703906208157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pedroaugusto2001","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pedroaugusto2001","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pedroaugusto2001| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/PedroAugusto2001/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pranavsilimkhan_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pranavsilimkhan_en.md new file mode 100644 index 0000000000000..4937fbc8fef55 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_pranavsilimkhan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pranavsilimkhan DistilBertForSequenceClassification from pranavsilimkhan +author: John Snow Labs +name: burmese_awesome_model_pranavsilimkhan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pranavsilimkhan` is a English model originally trained by pranavsilimkhan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pranavsilimkhan_en_5.2.2_3.0_1703895469920.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pranavsilimkhan_en_5.2.2_3.0_1703895469920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pranavsilimkhan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pranavsilimkhan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pranavsilimkhan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pranavsilimkhan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_py_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_py_en.md new file mode 100644 index 0000000000000..e9684f2839f2e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_py_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_py DistilBertForSequenceClassification from robertotraba +author: John Snow Labs +name: burmese_awesome_model_py +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_py` is a English model originally trained by robertotraba. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_py_en_5.2.2_3.0_1703934126777.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_py_en_5.2.2_3.0_1703934126777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_py","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_py","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_py| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/robertotraba/my_awesome_model_py \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_radicion_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_radicion_en.md new file mode 100644 index 0000000000000..d415502851209 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_radicion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_radicion DistilBertForSequenceClassification from radicion +author: John Snow Labs +name: burmese_awesome_model_radicion +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_radicion` is a English model originally trained by radicion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_radicion_en_5.2.2_3.0_1703944986424.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_radicion_en_5.2.2_3.0_1703944986424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_radicion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_radicion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_radicion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/radicion/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_roxas8210_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_roxas8210_en.md new file mode 100644 index 0000000000000..a397d5169701a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_roxas8210_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_roxas8210 DistilBertForSequenceClassification from roxas8210 +author: John Snow Labs +name: burmese_awesome_model_roxas8210 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_roxas8210` is a English model originally trained by roxas8210. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_roxas8210_en_5.2.2_3.0_1703898059973.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_roxas8210_en_5.2.2_3.0_1703898059973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_roxas8210","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_roxas8210","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_roxas8210| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/roxas8210/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_slimsha2dy_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_slimsha2dy_en.md new file mode 100644 index 0000000000000..759c62b4faec5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_slimsha2dy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_slimsha2dy DistilBertForSequenceClassification from slimsha2dy +author: John Snow Labs +name: burmese_awesome_model_slimsha2dy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_slimsha2dy` is a English model originally trained by slimsha2dy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_slimsha2dy_en_5.2.2_3.0_1703899925489.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_slimsha2dy_en_5.2.2_3.0_1703899925489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_slimsha2dy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_slimsha2dy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_slimsha2dy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/slimsha2dy/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_theolepere_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_theolepere_en.md new file mode 100644 index 0000000000000..d7c856bfe8a85 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_theolepere_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_theolepere DistilBertForSequenceClassification from TheoLepere +author: John Snow Labs +name: burmese_awesome_model_theolepere +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_theolepere` is a English model originally trained by TheoLepere. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_theolepere_en_5.2.2_3.0_1703969563664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_theolepere_en_5.2.2_3.0_1703969563664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_theolepere","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_theolepere","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_theolepere| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TheoLepere/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tom_beer_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tom_beer_en.md new file mode 100644 index 0000000000000..add6c9edc0f31 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tom_beer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_tom_beer DistilBertForSequenceClassification from tom-beer +author: John Snow Labs +name: burmese_awesome_model_tom_beer +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tom_beer` is a English model originally trained by tom-beer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tom_beer_en_5.2.2_3.0_1703935681646.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tom_beer_en_5.2.2_3.0_1703935681646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tom_beer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tom_beer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_tom_beer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tom-beer/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tongjiai_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tongjiai_en.md new file mode 100644 index 0000000000000..7ffa4741eef6a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tongjiai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_tongjiai DistilBertForSequenceClassification from TongjiAI +author: John Snow Labs +name: burmese_awesome_model_tongjiai +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tongjiai` is a English model originally trained by TongjiAI. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tongjiai_en_5.2.2_3.0_1703897343568.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tongjiai_en_5.2.2_3.0_1703897343568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tongjiai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tongjiai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_tongjiai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TongjiAI/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tonyhsu_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tonyhsu_en.md new file mode 100644 index 0000000000000..6d0f03134c4b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_tonyhsu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_tonyhsu DistilBertForSequenceClassification from tonyhsu +author: John Snow Labs +name: burmese_awesome_model_tonyhsu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tonyhsu` is a English model originally trained by tonyhsu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tonyhsu_en_5.2.2_3.0_1703896916320.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tonyhsu_en_5.2.2_3.0_1703896916320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tonyhsu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tonyhsu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_tonyhsu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tonyhsu/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_viv_san_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_viv_san_en.md new file mode 100644 index 0000000000000..1d3f59b1b049e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_viv_san_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_viv_san DistilBertForSequenceClassification from viv-san +author: John Snow Labs +name: burmese_awesome_model_viv_san +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_viv_san` is a English model originally trained by viv-san. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_viv_san_en_5.2.2_3.0_1703910921849.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_viv_san_en_5.2.2_3.0_1703910921849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_viv_san","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_viv_san","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_viv_san| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/viv-san/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wool_peach_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wool_peach_en.md new file mode 100644 index 0000000000000..5d37b1e244f93 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wool_peach_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_wool_peach DistilBertForSequenceClassification from Wool-Peach +author: John Snow Labs +name: burmese_awesome_model_wool_peach +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_wool_peach` is a English model originally trained by Wool-Peach. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wool_peach_en_5.2.2_3.0_1703934259463.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wool_peach_en_5.2.2_3.0_1703934259463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wool_peach","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wool_peach","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_wool_peach| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Wool-Peach/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wswang_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wswang_en.md new file mode 100644 index 0000000000000..8d87d812a0119 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_wswang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_wswang DistilBertForSequenceClassification from wswang +author: John Snow Labs +name: burmese_awesome_model_wswang +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_wswang` is a English model originally trained by wswang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wswang_en_5.2.2_3.0_1703939567303.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wswang_en_5.2.2_3.0_1703939567303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wswang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wswang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_wswang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/wswang/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yasser117_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yasser117_en.md new file mode 100644 index 0000000000000..dbcd802015951 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yasser117_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yasser117 DistilBertForSequenceClassification from Yasser117 +author: John Snow Labs +name: burmese_awesome_model_yasser117 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yasser117` is a English model originally trained by Yasser117. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yasser117_en_5.2.2_3.0_1703944989354.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yasser117_en_5.2.2_3.0_1703944989354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yasser117","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yasser117","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yasser117| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yasser117/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yonadav_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yonadav_en.md new file mode 100644 index 0000000000000..66a0bb4b8e95a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yonadav_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yonadav DistilBertForSequenceClassification from Yonadav +author: John Snow Labs +name: burmese_awesome_model_yonadav +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yonadav` is a English model originally trained by Yonadav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yonadav_en_5.2.2_3.0_1703951872227.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yonadav_en_5.2.2_3.0_1703951872227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yonadav","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yonadav","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yonadav| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yonadav/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yongce_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yongce_en.md new file mode 100644 index 0000000000000..e18c331345206 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_yongce_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yongce DistilBertForSequenceClassification from Yongce +author: John Snow Labs +name: burmese_awesome_model_yongce +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yongce` is a English model originally trained by Yongce. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yongce_en_5.2.2_3.0_1703894579336.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yongce_en_5.2.2_3.0_1703894579336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yongce","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yongce","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yongce| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yongce/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_zcahjl3_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_zcahjl3_en.md new file mode 100644 index 0000000000000..e5b4681aa8a4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_awesome_model_zcahjl3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_zcahjl3 DistilBertForSequenceClassification from zcahjl3 +author: John Snow Labs +name: burmese_awesome_model_zcahjl3 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zcahjl3` is a English model originally trained by zcahjl3. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zcahjl3_en_5.2.2_3.0_1703935864798.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zcahjl3_en_5.2.2_3.0_1703935864798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zcahjl3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zcahjl3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_zcahjl3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zcahjl3/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_model_nlpcodemonkey_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_model_nlpcodemonkey_en.md new file mode 100644 index 0000000000000..8b038487fc29b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_model_nlpcodemonkey_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_model_nlpcodemonkey DistilBertForSequenceClassification from nlpcodemonkey +author: John Snow Labs +name: burmese_model_nlpcodemonkey +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_nlpcodemonkey` is a English model originally trained by nlpcodemonkey. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_nlpcodemonkey_en_5.2.2_3.0_1703909995089.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_nlpcodemonkey_en_5.2.2_3.0_1703909995089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_nlpcodemonkey","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_nlpcodemonkey","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_model_nlpcodemonkey| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nlpcodemonkey/my_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_rd_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_rd_model_en.md new file mode 100644 index 0000000000000..49120e05a5333 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_rd_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_rd_model DistilBertForSequenceClassification from TValentine +author: John Snow Labs +name: burmese_rd_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_rd_model` is a English model originally trained by TValentine. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_rd_model_en_5.2.2_3.0_1703937163624.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_rd_model_en_5.2.2_3.0_1703937163624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_rd_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_rd_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_rd_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/TValentine/my_RD_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_school_awesome_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_school_awesome_model_en.md new file mode 100644 index 0000000000000..878f59733cd49 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_school_awesome_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_school_awesome_model DistilBertForSequenceClassification from Falah +author: John Snow Labs +name: burmese_school_awesome_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_school_awesome_model` is a English model originally trained by Falah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_school_awesome_model_en_5.2.2_3.0_1703965871183.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_school_awesome_model_en_5.2.2_3.0_1703965871183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_school_awesome_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_school_awesome_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_school_awesome_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Falah/my_school_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_1_en.md new file mode 100644 index 0000000000000..7f72d6399e317 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_segment_news_1 DistilBertForSequenceClassification from SSSIN +author: John Snow Labs +name: burmese_segment_news_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_segment_news_1` is a English model originally trained by SSSIN. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_segment_news_1_en_5.2.2_3.0_1703948820910.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_segment_news_1_en_5.2.2_3.0_1703948820910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_news_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_news_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_segment_news_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SSSIN/my_segment_news_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_en.md b/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_en.md new file mode 100644 index 0000000000000..a3139b4a2625e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-burmese_segment_news_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_segment_news DistilBertForSequenceClassification from SSSIN +author: John Snow Labs +name: burmese_segment_news +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_segment_news` is a English model originally trained by SSSIN. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_segment_news_en_5.2.2_3.0_1703934650936.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_segment_news_en_5.2.2_3.0_1703934650936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_news","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_segment_news","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_segment_news| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SSSIN/my_segment_news \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-capstone_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-capstone_distilbert_en.md new file mode 100644 index 0000000000000..c3c4a80b10888 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-capstone_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English capstone_distilbert DistilBertForSequenceClassification from gArthur98 +author: John Snow Labs +name: capstone_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`capstone_distilbert` is a English model originally trained by gArthur98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/capstone_distilbert_en_5.2.2_3.0_1703977558803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/capstone_distilbert_en_5.2.2_3.0_1703977558803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("capstone_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("capstone_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|capstone_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gArthur98/Capstone-DistilBert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-chap_02_en.md b/docs/_posts/ahmedlone127/2023-12-30-chap_02_en.md new file mode 100644 index 0000000000000..f3123ac8e91e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-chap_02_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English chap_02 DistilBertForSequenceClassification from takrei +author: John Snow Labs +name: chap_02 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chap_02` is a English model originally trained by takrei. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chap_02_en_5.2.2_3.0_1703897762615.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chap_02_en_5.2.2_3.0_1703897762615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("chap_02","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("chap_02","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|chap_02| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.2 MB| + +## References + +https://huggingface.co/takrei/chap_02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-checkpoint_42500_en.md b/docs/_posts/ahmedlone127/2023-12-30-checkpoint_42500_en.md new file mode 100644 index 0000000000000..335cd62983d51 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-checkpoint_42500_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English checkpoint_42500 DistilBertForSequenceClassification from Cyleux +author: John Snow Labs +name: checkpoint_42500 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`checkpoint_42500` is a English model originally trained by Cyleux. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/checkpoint_42500_en_5.2.2_3.0_1703977640579.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/checkpoint_42500_en_5.2.2_3.0_1703977640579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("checkpoint_42500","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("checkpoint_42500","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|checkpoint_42500| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Cyleux/checkpoint-42500 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-circa_boolq_yn_en.md b/docs/_posts/ahmedlone127/2023-12-30-circa_boolq_yn_en.md new file mode 100644 index 0000000000000..b23609e9a5718 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-circa_boolq_yn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English circa_boolq_yn DistilBertForSequenceClassification from Abby-OGV +author: John Snow Labs +name: circa_boolq_yn +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`circa_boolq_yn` is a English model originally trained by Abby-OGV. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/circa_boolq_yn_en_5.2.2_3.0_1703971409463.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/circa_boolq_yn_en_5.2.2_3.0_1703971409463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("circa_boolq_yn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("circa_boolq_yn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|circa_boolq_yn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Abby-OGV/circa_boolq_yn \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-classification_model4_en.md b/docs/_posts/ahmedlone127/2023-12-30-classification_model4_en.md new file mode 100644 index 0000000000000..b2afb17e3fead --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-classification_model4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English classification_model4 DistilBertForSequenceClassification from akum1343 +author: John Snow Labs +name: classification_model4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_model4` is a English model originally trained by akum1343. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_model4_en_5.2.2_3.0_1703966351531.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_model4_en_5.2.2_3.0_1703966351531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_model4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_model4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|classification_model4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/akum1343/Classification_model4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-classification_restaurants_small_en.md b/docs/_posts/ahmedlone127/2023-12-30-classification_restaurants_small_en.md new file mode 100644 index 0000000000000..c6e6b7ccc6820 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-classification_restaurants_small_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English classification_restaurants_small DistilBertForSequenceClassification from vidhikatkoria +author: John Snow Labs +name: classification_restaurants_small +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_restaurants_small` is a English model originally trained by vidhikatkoria. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_restaurants_small_en_5.2.2_3.0_1703935545907.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_restaurants_small_en_5.2.2_3.0_1703935545907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_restaurants_small","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("classification_restaurants_small","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|classification_restaurants_small| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vidhikatkoria/classification_restaurants_small \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-climate_text_classification_mini_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-climate_text_classification_mini_model_en.md new file mode 100644 index 0000000000000..e3ef89eb4e2b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-climate_text_classification_mini_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English climate_text_classification_mini_model DistilBertForSequenceClassification from maayansharon +author: John Snow Labs +name: climate_text_classification_mini_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_text_classification_mini_model` is a English model originally trained by maayansharon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_text_classification_mini_model_en_5.2.2_3.0_1703895953547.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_text_classification_mini_model_en_5.2.2_3.0_1703895953547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_text_classification_mini_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_text_classification_mini_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|climate_text_classification_mini_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/maayansharon/climate_text_classification_mini_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-cm_tzeppy1_en.md b/docs/_posts/ahmedlone127/2023-12-30-cm_tzeppy1_en.md new file mode 100644 index 0000000000000..f4ae99851dd0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-cm_tzeppy1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cm_tzeppy1 DistilBertForSequenceClassification from tzeppy25 +author: John Snow Labs +name: cm_tzeppy1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cm_tzeppy1` is a English model originally trained by tzeppy25. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cm_tzeppy1_en_5.2.2_3.0_1703898479440.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cm_tzeppy1_en_5.2.2_3.0_1703898479440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cm_tzeppy1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cm_tzeppy1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cm_tzeppy1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tzeppy25/cm_tzeppy1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-contextfunc_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-contextfunc_model_en.md new file mode 100644 index 0000000000000..4f06735f4d047 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-contextfunc_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English contextfunc_model DistilBertForSequenceClassification from CognixionCarl +author: John Snow Labs +name: contextfunc_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`contextfunc_model` is a English model originally trained by CognixionCarl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/contextfunc_model_en_5.2.2_3.0_1703966050741.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/contextfunc_model_en_5.2.2_3.0_1703966050741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("contextfunc_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("contextfunc_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|contextfunc_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CognixionCarl/contextfunc_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-covid_jaimin_en.md b/docs/_posts/ahmedlone127/2023-12-30-covid_jaimin_en.md new file mode 100644 index 0000000000000..db31ea2e70dce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-covid_jaimin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English covid_jaimin DistilBertForSequenceClassification from jaimin +author: John Snow Labs +name: covid_jaimin +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_jaimin` is a English model originally trained by jaimin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_jaimin_en_5.2.2_3.0_1703940290933.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_jaimin_en_5.2.2_3.0_1703940290933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_jaimin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_jaimin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|covid_jaimin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jaimin/covid \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-covid_vaccine_tweet_sentiment_analysis_distilbert_azie88_en.md b/docs/_posts/ahmedlone127/2023-12-30-covid_vaccine_tweet_sentiment_analysis_distilbert_azie88_en.md new file mode 100644 index 0000000000000..a02f295ba34a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-covid_vaccine_tweet_sentiment_analysis_distilbert_azie88_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English covid_vaccine_tweet_sentiment_analysis_distilbert_azie88 DistilBertForSequenceClassification from Azie88 +author: John Snow Labs +name: covid_vaccine_tweet_sentiment_analysis_distilbert_azie88 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_vaccine_tweet_sentiment_analysis_distilbert_azie88` is a English model originally trained by Azie88. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_distilbert_azie88_en_5.2.2_3.0_1703935188375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_distilbert_azie88_en_5.2.2_3.0_1703935188375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_vaccine_tweet_sentiment_analysis_distilbert_azie88","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("covid_vaccine_tweet_sentiment_analysis_distilbert_azie88","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|covid_vaccine_tweet_sentiment_analysis_distilbert_azie88| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Azie88/COVID_Vaccine_Tweet_sentiment_analysis_Distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-crossde_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-crossde_distilbert_en.md new file mode 100644 index 0000000000000..46bc94bcac6d5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-crossde_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English crossde_distilbert DistilBertForSequenceClassification from tiya1012 +author: John Snow Labs +name: crossde_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`crossde_distilbert` is a English model originally trained by tiya1012. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crossde_distilbert_en_5.2.2_3.0_1703972286026.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crossde_distilbert_en_5.2.2_3.0_1703972286026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("crossde_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("crossde_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|crossde_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tiya1012/crossde_distilBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-csabstract_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-csabstract_classification_en.md new file mode 100644 index 0000000000000..14ae3a5710506 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-csabstract_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English csabstract_classification DistilBertForSequenceClassification from epiphacc +author: John Snow Labs +name: csabstract_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`csabstract_classification` is a English model originally trained by epiphacc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/csabstract_classification_en_5.2.2_3.0_1703933821375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/csabstract_classification_en_5.2.2_3.0_1703933821375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("csabstract_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("csabstract_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|csabstract_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/epiphacc/csabstract-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-dair_emotion_8_en.md b/docs/_posts/ahmedlone127/2023-12-30-dair_emotion_8_en.md new file mode 100644 index 0000000000000..c9cd4173586d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-dair_emotion_8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dair_emotion_8 DistilBertForSequenceClassification from NBRZ +author: John Snow Labs +name: dair_emotion_8 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dair_emotion_8` is a English model originally trained by NBRZ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dair_emotion_8_en_5.2.2_3.0_1703971457603.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dair_emotion_8_en_5.2.2_3.0_1703971457603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dair_emotion_8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dair_emotion_8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dair_emotion_8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NBRZ/dair_emotion_8 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-dan_lp_en.md b/docs/_posts/ahmedlone127/2023-12-30-dan_lp_en.md new file mode 100644 index 0000000000000..8e194675f003f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-dan_lp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dan_lp DistilBertForSequenceClassification from gaborcselle +author: John Snow Labs +name: dan_lp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dan_lp` is a English model originally trained by gaborcselle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dan_lp_en_5.2.2_3.0_1703939277416.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dan_lp_en_5.2.2_3.0_1703939277416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dan_lp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dan_lp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dan_lp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gaborcselle/dan-lp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-datafest_category_en.md b/docs/_posts/ahmedlone127/2023-12-30-datafest_category_en.md new file mode 100644 index 0000000000000..89807b679e8fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-datafest_category_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English datafest_category DistilBertForSequenceClassification from taroii +author: John Snow Labs +name: datafest_category +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datafest_category` is a English model originally trained by taroii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datafest_category_en_5.2.2_3.0_1703900936033.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datafest_category_en_5.2.2_3.0_1703900936033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("datafest_category","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("datafest_category","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|datafest_category| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/taroii/datafest_category \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-datasciencechallenge_en.md b/docs/_posts/ahmedlone127/2023-12-30-datasciencechallenge_en.md new file mode 100644 index 0000000000000..0cd62a2b0945d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-datasciencechallenge_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English datasciencechallenge DistilBertForSequenceClassification from leonardosaveri +author: John Snow Labs +name: datasciencechallenge +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datasciencechallenge` is a English model originally trained by leonardosaveri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datasciencechallenge_en_5.2.2_3.0_1703894814308.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datasciencechallenge_en_5.2.2_3.0_1703894814308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("datasciencechallenge","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("datasciencechallenge","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|datasciencechallenge| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leonardosaveri/DataScienceChallenge \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-dbert2_sst2_en.md b/docs/_posts/ahmedlone127/2023-12-30-dbert2_sst2_en.md new file mode 100644 index 0000000000000..c1a6b88aaba29 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-dbert2_sst2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dbert2_sst2 DistilBertForSequenceClassification from Sayan01 +author: John Snow Labs +name: dbert2_sst2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbert2_sst2` is a English model originally trained by Sayan01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbert2_sst2_en_5.2.2_3.0_1703914388279.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbert2_sst2_en_5.2.2_3.0_1703914388279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dbert2_sst2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dbert2_sst2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dbert2_sst2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|302.5 MB| + +## References + +https://huggingface.co/Sayan01/DBERT2_sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-debug_example_charm_en.md b/docs/_posts/ahmedlone127/2023-12-30-debug_example_charm_en.md new file mode 100644 index 0000000000000..4a3702efed2fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-debug_example_charm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English debug_example_charm DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: debug_example_charm +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`debug_example_charm` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debug_example_charm_en_5.2.2_3.0_1703902404646.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debug_example_charm_en_5.2.2_3.0_1703902404646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_charm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_charm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|debug_example_charm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/debug-example-charm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-debug_example_getrajeev03_en.md b/docs/_posts/ahmedlone127/2023-12-30-debug_example_getrajeev03_en.md new file mode 100644 index 0000000000000..5033b338f4631 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-debug_example_getrajeev03_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English debug_example_getrajeev03 DistilBertForSequenceClassification from getrajeev03 +author: John Snow Labs +name: debug_example_getrajeev03 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`debug_example_getrajeev03` is a English model originally trained by getrajeev03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debug_example_getrajeev03_en_5.2.2_3.0_1703936191645.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debug_example_getrajeev03_en_5.2.2_3.0_1703936191645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_getrajeev03","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_getrajeev03","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|debug_example_getrajeev03| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/getrajeev03/debug-example \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-demaxco_sst2_en.md b/docs/_posts/ahmedlone127/2023-12-30-demaxco_sst2_en.md new file mode 100644 index 0000000000000..27cba764ae9a8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-demaxco_sst2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English demaxco_sst2 DistilBertForSequenceClassification from manarea +author: John Snow Labs +name: demaxco_sst2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demaxco_sst2` is a English model originally trained by manarea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demaxco_sst2_en_5.2.2_3.0_1703966049003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demaxco_sst2_en_5.2.2_3.0_1703966049003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("demaxco_sst2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("demaxco_sst2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|demaxco_sst2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manarea/Demaxco-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-depression_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-30-depression_classifier_en.md new file mode 100644 index 0000000000000..44a43a5d70aca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-depression_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English depression_classifier DistilBertForSequenceClassification from Shuddup +author: John Snow Labs +name: depression_classifier +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_classifier` is a English model originally trained by Shuddup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_classifier_en_5.2.2_3.0_1703964779951.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_classifier_en_5.2.2_3.0_1703964779951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("depression_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|depression_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shuddup/depression_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-derexp_regression_6k_en.md b/docs/_posts/ahmedlone127/2023-12-30-derexp_regression_6k_en.md new file mode 100644 index 0000000000000..9cfc5789f72fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-derexp_regression_6k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English derexp_regression_6k DistilBertForSequenceClassification from zluvolyote +author: John Snow Labs +name: derexp_regression_6k +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`derexp_regression_6k` is a English model originally trained by zluvolyote. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/derexp_regression_6k_en_5.2.2_3.0_1703898913283.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/derexp_regression_6k_en_5.2.2_3.0_1703898913283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("derexp_regression_6k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("derexp_regression_6k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|derexp_regression_6k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zluvolyote/DEREXP_Regression_6k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-disaster_msges_classifier_v1_en.md b/docs/_posts/ahmedlone127/2023-12-30-disaster_msges_classifier_v1_en.md new file mode 100644 index 0000000000000..14ed792bf976b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-disaster_msges_classifier_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English disaster_msges_classifier_v1 DistilBertForSequenceClassification from Madhana +author: John Snow Labs +name: disaster_msges_classifier_v1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_msges_classifier_v1` is a English model originally trained by Madhana. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_msges_classifier_v1_en_5.2.2_3.0_1703935708938.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_msges_classifier_v1_en_5.2.2_3.0_1703935708938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("disaster_msges_classifier_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("disaster_msges_classifier_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|disaster_msges_classifier_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Madhana/disaster_msges_classifier_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-disasterbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-disasterbert_en.md new file mode 100644 index 0000000000000..835cc1b93ec8e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-disasterbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English disasterbert DistilBertForSequenceClassification from cgallegoan +author: John Snow Labs +name: disasterbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disasterbert` is a English model originally trained by cgallegoan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disasterbert_en_5.2.2_3.0_1703934094566.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disasterbert_en_5.2.2_3.0_1703934094566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("disasterbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("disasterbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|disasterbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cgallegoan/disasterBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_action_romanian_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_action_romanian_en.md new file mode 100644 index 0000000000000..c9a031f2bdb5c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_action_romanian_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_action_romanian DistilBertForSequenceClassification from LibrAI +author: John Snow Labs +name: distilbert_action_romanian +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_action_romanian` is a English model originally trained by LibrAI. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_action_romanian_en_5.2.2_3.0_1703898585982.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_action_romanian_en_5.2.2_3.0_1703898585982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_action_romanian","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_action_romanian","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_action_romanian| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LibrAI/distilbert-action-ro \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_asd_sentimentanalysis_withaugmentation_bucld_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_asd_sentimentanalysis_withaugmentation_bucld_en.md new file mode 100644 index 0000000000000..aef41db4b2fa7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_asd_sentimentanalysis_withaugmentation_bucld_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_asd_sentimentanalysis_withaugmentation_bucld DistilBertForSequenceClassification from ugurcanvurgun +author: John Snow Labs +name: distilbert_asd_sentimentanalysis_withaugmentation_bucld +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_asd_sentimentanalysis_withaugmentation_bucld` is a English model originally trained by ugurcanvurgun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_asd_sentimentanalysis_withaugmentation_bucld_en_5.2.2_3.0_1703970347558.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_asd_sentimentanalysis_withaugmentation_bucld_en_5.2.2_3.0_1703970347558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_asd_sentimentanalysis_withaugmentation_bucld","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_asd_sentimentanalysis_withaugmentation_bucld","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_asd_sentimentanalysis_withaugmentation_bucld| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ugurcanvurgun/DistilBERT_ASD_SentimentAnalysis_withAugmentation_BUCLD \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_dataverse_2023_again_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_dataverse_2023_again_1_en.md new file mode 100644 index 0000000000000..e0bc3422f99dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_dataverse_2023_again_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_dataverse_2023_again_1 DistilBertForSequenceClassification from rajendrabaskota +author: John Snow Labs +name: distilbert_base_dataverse_2023_again_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_dataverse_2023_again_1` is a English model originally trained by rajendrabaskota. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_dataverse_2023_again_1_en_5.2.2_3.0_1703900565159.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_dataverse_2023_again_1_en_5.2.2_3.0_1703900565159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_dataverse_2023_again_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_dataverse_2023_again_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_dataverse_2023_again_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rajendrabaskota/distilbert-base-dataverse-2023-again-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_german_cased_italy_manifesto_2018_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_german_cased_italy_manifesto_2018_en.md new file mode 100644 index 0000000000000..932c1ee5b323e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_german_cased_italy_manifesto_2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_german_cased_italy_manifesto_2018 DistilBertForSequenceClassification from assenmacher +author: John Snow Labs +name: distilbert_base_german_cased_italy_manifesto_2018 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_italy_manifesto_2018` is a English model originally trained by assenmacher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_italy_manifesto_2018_en_5.2.2_3.0_1703895301445.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_italy_manifesto_2018_en_5.2.2_3.0_1703895301445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_italy_manifesto_2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_german_cased_italy_manifesto_2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_german_cased_italy_manifesto_2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.5 MB| + +## References + +https://huggingface.co/assenmacher/distilbert-base-german-cased-italy-manifesto-2018 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman_xx.md new file mode 100644 index 0000000000000..46430689279e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman DistilBertForSequenceClassification from allman +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman` is a Multilingual model originally trained by allman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman_xx_5.2.2_3.0_1703966364453.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman_xx_5.2.2_3.0_1703966364453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_allman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/allman/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160_xx.md new file mode 100644 index 0000000000000..edaade7411930 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160 DistilBertForSequenceClassification from ana160 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160` is a Multilingual model originally trained by ana160. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160_xx_5.2.2_3.0_1703907878929.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160_xx_5.2.2_3.0_1703907878929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_ana160| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|497.5 MB| + +## References + +https://huggingface.co/ana160/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29_xx.md new file mode 100644 index 0000000000000..3e18a76c47a09 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29 DistilBertForSequenceClassification from arubi29 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29` is a Multilingual model originally trained by arubi29. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29_xx_5.2.2_3.0_1703976516024.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29_xx_5.2.2_3.0_1703976516024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_arubi29| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/arubi29/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc_xx.md new file mode 100644 index 0000000000000..4764a547a7a1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc DistilBertForSequenceClassification from kankenjc +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc` is a Multilingual model originally trained by kankenjc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc_xx_5.2.2_3.0_1703948710443.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc_xx_5.2.2_3.0_1703948710443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_kankenjc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/kankenjc/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi_xx.md new file mode 100644 index 0000000000000..6a2ae7f7371c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi DistilBertForSequenceClassification from nicole-tumi +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi` is a Multilingual model originally trained by nicole-tumi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi_xx_5.2.2_3.0_1703895845614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi_xx_5.2.2_3.0_1703895845614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_nicole_tumi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/nicole-tumi/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar_xx.md new file mode 100644 index 0000000000000..cf0753c9f8c7e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar DistilBertForSequenceClassification from SandyDelMar +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar` is a Multilingual model originally trained by SandyDelMar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar_xx_5.2.2_3.0_1703896431630.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar_xx_5.2.2_3.0_1703896431630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_sandydelmar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/SandyDelMar/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh_xx.md new file mode 100644 index 0000000000000..8e2a1c6b23ffd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh DistilBertForSequenceClassification from Yuliushh +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh` is a Multilingual model originally trained by Yuliushh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh_xx_5.2.2_3.0_1703909075447.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh_xx_5.2.2_3.0_1703909075447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_yuliushh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Yuliushh/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32_xx.md new file mode 100644 index 0000000000000..dd66c3150caef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32_xx_5.2.2_3.0_1703964001906.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32_xx_5.2.2_3.0_1703964001906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_32| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false-bs-32 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4_xx.md new file mode 100644 index 0000000000000..d300e7fb42416 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4_xx_5.2.2_3.0_1703900323633.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4_xx_5.2.2_3.0_1703900323633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false-bs-4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32_xx.md new file mode 100644 index 0000000000000..80240fa0a750c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32_xx_5.2.2_3.0_1703913589438.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32_xx_5.2.2_3.0_1703913589438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_32| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true-bs-32 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4_xx.md new file mode 100644 index 0000000000000..cf404fc23a1cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4_xx_5.2.2_3.0_1703942150518.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4_xx_5.2.2_3.0_1703942150518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true-bs-4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64_xx.md new file mode 100644 index 0000000000000..9c6b60ec2e845 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64_xx_5.2.2_3.0_1703918266496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64_xx_5.2.2_3.0_1703918266496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_64| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true-bs-64 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8_xx.md new file mode 100644 index 0000000000000..3c597fad33da4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8 +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8_xx_5.2.2_3.0_1703965909120.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8_xx_5.2.2_3.0_1703965909120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true-bs-8 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_xx.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_xx.md new file mode 100644 index 0000000000000..4734eadf71c9b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_multilingual_cased_language_detection_fp16_true_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_xx_5.2.2_3.0_1703964593038.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_xx_5.2.2_3.0_1703964593038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_ukrainian_cased_toxicity_uk.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_ukrainian_cased_toxicity_uk.md new file mode 100644 index 0000000000000..6236c068fa45f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_ukrainian_cased_toxicity_uk.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Ukrainian distilbert_base_ukrainian_cased_toxicity DistilBertForSequenceClassification from dardem +author: John Snow Labs +name: distilbert_base_ukrainian_cased_toxicity +date: 2023-12-30 +tags: [bert, uk, open_source, sequence_classification, onnx] +task: Text Classification +language: uk +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_ukrainian_cased_toxicity` is a Ukrainian model originally trained by dardem. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_ukrainian_cased_toxicity_uk_5.2.2_3.0_1703903859724.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_ukrainian_cased_toxicity_uk_5.2.2_3.0_1703903859724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_ukrainian_cased_toxicity","uk")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_ukrainian_cased_toxicity","uk") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_ukrainian_cased_toxicity| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|uk| +|Size:|197.1 MB| + +## References + +https://huggingface.co/dardem/distilbert-base-uk-cased-toxicity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_agnews_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_agnews_en.md new file mode 100644 index 0000000000000..1dfbb82e1da7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_agnews_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_agnews DistilBertForSequenceClassification from tamhuynh27 +author: John Snow Labs +name: distilbert_base_uncased_agnews +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_agnews` is a English model originally trained by tamhuynh27. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_agnews_en_5.2.2_3.0_1703920444573.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_agnews_en_5.2.2_3.0_1703920444573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_agnews","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_agnews","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_agnews| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/tamhuynh27/distilbert-base-uncased-agnews \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cls_ag_news_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cls_ag_news_en.md new file mode 100644 index 0000000000000..8a60cc5d63435 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cls_ag_news_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_cls_ag_news DistilBertForSequenceClassification from ghatgetanuj +author: John Snow Labs +name: distilbert_base_uncased_cls_ag_news +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cls_ag_news` is a English model originally trained by ghatgetanuj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cls_ag_news_en_5.2.2_3.0_1703899095216.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cls_ag_news_en_5.2.2_3.0_1703899095216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cls_ag_news","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cls_ag_news","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_cls_ag_news| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ghatgetanuj/distilbert-base-uncased_cls_ag_news \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cyong_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cyong_en.md new file mode 100644 index 0000000000000..ed41213215a5d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_cyong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_cyong DistilBertForSequenceClassification from CYONG +author: John Snow Labs +name: distilbert_base_uncased_cyong +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cyong` is a English model originally trained by CYONG. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cyong_en_5.2.2_3.0_1703964030105.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cyong_en_5.2.2_3.0_1703964030105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cyong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cyong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_cyong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CYONG/distilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilbert_model_petermutwiri_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilbert_model_petermutwiri_en.md new file mode 100644 index 0000000000000..782dfd309bc3e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilbert_model_petermutwiri_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilbert_model_petermutwiri DistilBertForSequenceClassification from petermutwiri +author: John Snow Labs +name: distilbert_base_uncased_distilbert_model_petermutwiri +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilbert_model_petermutwiri` is a English model originally trained by petermutwiri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_model_petermutwiri_en_5.2.2_3.0_1703920330775.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_model_petermutwiri_en_5.2.2_3.0_1703920330775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilbert_model_petermutwiri","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilbert_model_petermutwiri","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilbert_model_petermutwiri| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/petermutwiri/distilbert-base-uncased-Distilbert-Model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_anantonios9_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_anantonios9_en.md new file mode 100644 index 0000000000000..d63e02caab926 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_anantonios9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_anantonios9 DistilBertForSequenceClassification from anantonios9 +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_anantonios9 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_anantonios9` is a English model originally trained by anantonios9. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_anantonios9_en_5.2.2_3.0_1703903940478.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_anantonios9_en_5.2.2_3.0_1703903940478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_anantonios9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_anantonios9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_anantonios9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/anantonios9/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_andrew45_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_andrew45_en.md new file mode 100644 index 0000000000000..7362dfaa15442 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_andrew45_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_andrew45 DistilBertForSequenceClassification from andrew45 +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_andrew45 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_andrew45` is a English model originally trained by andrew45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_andrew45_en_5.2.2_3.0_1703967496840.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_andrew45_en_5.2.2_3.0_1703967496840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_andrew45","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_andrew45","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_andrew45| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/andrew45/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_bobojjhh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_bobojjhh_en.md new file mode 100644 index 0000000000000..51a8cd1f91f1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_bobojjhh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_bobojjhh DistilBertForSequenceClassification from bobojjhh +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_bobojjhh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_bobojjhh` is a English model originally trained by bobojjhh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bobojjhh_en_5.2.2_3.0_1703919024959.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bobojjhh_en_5.2.2_3.0_1703919024959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_bobojjhh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_bobojjhh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_bobojjhh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/bobojjhh/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ckandemir_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ckandemir_en.md new file mode 100644 index 0000000000000..7a53745404a9f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ckandemir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_ckandemir DistilBertForSequenceClassification from ckandemir +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_ckandemir +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ckandemir` is a English model originally trained by ckandemir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ckandemir_en_5.2.2_3.0_1703897216536.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ckandemir_en_5.2.2_3.0_1703897216536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ckandemir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ckandemir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_ckandemir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ckandemir/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_hxstar_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_hxstar_en.md new file mode 100644 index 0000000000000..770707966238b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_hxstar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_hxstar DistilBertForSequenceClassification from hxstar +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_hxstar +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_hxstar` is a English model originally trained by hxstar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hxstar_en_5.2.2_3.0_1703921115828.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hxstar_en_5.2.2_3.0_1703921115828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_hxstar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_hxstar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_hxstar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/hxstar/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_jkraushaar_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_jkraushaar_en.md new file mode 100644 index 0000000000000..7669efa8ce00e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_jkraushaar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_jkraushaar DistilBertForSequenceClassification from jkraushaar +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_jkraushaar +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_jkraushaar` is a English model originally trained by jkraushaar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jkraushaar_en_5.2.2_3.0_1703934172011.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jkraushaar_en_5.2.2_3.0_1703934172011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_jkraushaar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_jkraushaar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_jkraushaar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/jkraushaar/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_k4west_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_k4west_en.md new file mode 100644 index 0000000000000..8a5f56fb12d68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_k4west_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_k4west DistilBertForSequenceClassification from k4west +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_k4west +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_k4west` is a English model originally trained by k4west. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_k4west_en_5.2.2_3.0_1703936354909.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_k4west_en_5.2.2_3.0_1703936354909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_k4west","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_k4west","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_k4west| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/k4west/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_kkt4828_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_kkt4828_en.md new file mode 100644 index 0000000000000..818e51ced85e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_kkt4828_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_kkt4828 DistilBertForSequenceClassification from kkt4828 +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_kkt4828 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_kkt4828` is a English model originally trained by kkt4828. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kkt4828_en_5.2.2_3.0_1703934378932.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kkt4828_en_5.2.2_3.0_1703934378932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_kkt4828","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_kkt4828","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_kkt4828| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/kkt4828/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_pensuke_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_pensuke_en.md new file mode 100644 index 0000000000000..9aa9589308106 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_pensuke_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_pensuke DistilBertForSequenceClassification from pensuke +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_pensuke +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_pensuke` is a English model originally trained by pensuke. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_pensuke_en_5.2.2_3.0_1703897128640.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_pensuke_en_5.2.2_3.0_1703897128640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_pensuke","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_pensuke","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_pensuke| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/pensuke/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_phnghiapro_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_phnghiapro_en.md new file mode 100644 index 0000000000000..7e4f2285e7d96 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_phnghiapro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_phnghiapro DistilBertForSequenceClassification from phnghiapro +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_phnghiapro +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_phnghiapro` is a English model originally trained by phnghiapro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_phnghiapro_en_5.2.2_3.0_1703940624294.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_phnghiapro_en_5.2.2_3.0_1703940624294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_phnghiapro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_phnghiapro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_phnghiapro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/phnghiapro/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_r0llingclouds_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_r0llingclouds_en.md new file mode 100644 index 0000000000000..23e7f19656692 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_r0llingclouds_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_r0llingclouds DistilBertForSequenceClassification from r0llingclouds +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_r0llingclouds +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_r0llingclouds` is a English model originally trained by r0llingclouds. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_r0llingclouds_en_5.2.2_3.0_1703897768047.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_r0llingclouds_en_5.2.2_3.0_1703897768047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_r0llingclouds","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_r0llingclouds","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_r0llingclouds| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/r0llingclouds/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ridealist_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ridealist_en.md new file mode 100644 index 0000000000000..3acb312f7812d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_ridealist_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_ridealist DistilBertForSequenceClassification from Ridealist +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_ridealist +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ridealist` is a English model originally trained by Ridealist. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ridealist_en_5.2.2_3.0_1703898613255.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ridealist_en_5.2.2_3.0_1703898613255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ridealist","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ridealist","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_ridealist| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Ridealist/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_sangsooim_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_sangsooim_en.md new file mode 100644 index 0000000000000..11052fa26f69c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_sangsooim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_sangsooim DistilBertForSequenceClassification from SangsooIm +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_sangsooim +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_sangsooim` is a English model originally trained by SangsooIm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_sangsooim_en_5.2.2_3.0_1703967890986.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_sangsooim_en_5.2.2_3.0_1703967890986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_sangsooim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_sangsooim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_sangsooim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/SangsooIm/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yezune_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yezune_en.md new file mode 100644 index 0000000000000..4c73b6cea9a32 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yezune_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_yezune DistilBertForSequenceClassification from yezune +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_yezune +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_yezune` is a English model originally trained by yezune. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_yezune_en_5.2.2_3.0_1703915938761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_yezune_en_5.2.2_3.0_1703915938761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_yezune","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_yezune","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_yezune| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/yezune/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yong_sik_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yong_sik_en.md new file mode 100644 index 0000000000000..925b248c8c75f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_distilled_clinc_yong_sik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_yong_sik DistilBertForSequenceClassification from Yong-Sik +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_yong_sik +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_yong_sik` is a English model originally trained by Yong-Sik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_yong_sik_en_5.2.2_3.0_1703935026765.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_yong_sik_en_5.2.2_3.0_1703935026765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_yong_sik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_yong_sik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_yong_sik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Yong-Sik/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_en.md new file mode 100644 index 0000000000000..1b547f7a3b6ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_dsc DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: distilbert_base_uncased_dsc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_dsc` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_en_5.2.2_3.0_1703919011732.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_en_5.2.2_3.0_1703919011732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_dsc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/distilbert-base-uncased-DSC \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_nepal_bhasa_en.md new file mode 100644 index 0000000000000..86b716a5ff2ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_dsc_nepal_bhasa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_dsc_nepal_bhasa DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: distilbert_base_uncased_dsc_nepal_bhasa +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_dsc_nepal_bhasa` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_nepal_bhasa_en_5.2.2_3.0_1703910809826.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_nepal_bhasa_en_5.2.2_3.0_1703910809826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc_nepal_bhasa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc_nepal_bhasa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_dsc_nepal_bhasa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/distilbert-base-uncased-DSC-new \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_elinliu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_elinliu_en.md new file mode 100644 index 0000000000000..01b50ddb9c45d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_elinliu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_elinliu DistilBertForSequenceClassification from ElinLiu +author: John Snow Labs +name: distilbert_base_uncased_elinliu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_elinliu` is a English model originally trained by ElinLiu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_elinliu_en_5.2.2_3.0_1703939798109.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_elinliu_en_5.2.2_3.0_1703939798109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_elinliu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_elinliu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_elinliu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ElinLiu/distilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_baoxianjia_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_baoxianjia_en.md new file mode 100644 index 0000000000000..6db9dc4460cec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_baoxianjia_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_baoxianjia DistilBertForSequenceClassification from baoxianJia +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_baoxianjia +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_baoxianjia` is a English model originally trained by baoxianJia. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_baoxianjia_en_5.2.2_3.0_1703942934808.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_baoxianjia_en_5.2.2_3.0_1703942934808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_baoxianjia","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_baoxianjia","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_baoxianjia| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/baoxianJia/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_caleb_l_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_caleb_l_en.md new file mode 100644 index 0000000000000..e395f5a081164 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_caleb_l_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_caleb_l DistilBertForSequenceClassification from Caleb-L +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_caleb_l +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_caleb_l` is a English model originally trained by Caleb-L. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_caleb_l_en_5.2.2_3.0_1703966358397.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_caleb_l_en_5.2.2_3.0_1703966358397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_caleb_l","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_caleb_l","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_caleb_l| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Caleb-L/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_gemlincong_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_gemlincong_en.md new file mode 100644 index 0000000000000..4b23c0af331cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0416_gemlincong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_gemlincong DistilBertForSequenceClassification from gemlincong +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_gemlincong +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_gemlincong` is a English model originally trained by gemlincong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_gemlincong_en_5.2.2_3.0_1703940434827.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_gemlincong_en_5.2.2_3.0_1703940434827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_gemlincong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_gemlincong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_gemlincong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gemlincong/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0520_lhy1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0520_lhy1_en.md new file mode 100644 index 0000000000000..9d8b5e7f86d72 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0520_lhy1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0520_lhy1 DistilBertForSequenceClassification from lhy1 +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0520_lhy1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0520_lhy1` is a English model originally trained by lhy1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_lhy1_en_5.2.2_3.0_1703935377457.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_lhy1_en_5.2.2_3.0_1703935377457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0520_lhy1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0520_lhy1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0520_lhy1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lhy1/distilbert-base-uncased_emotion_ft_0520 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0719_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0719_en.md new file mode 100644 index 0000000000000..d296776fd5dcb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_0719_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0719 DistilBertForSequenceClassification from sufezcz +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0719 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0719` is a English model originally trained by sufezcz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0719_en_5.2.2_3.0_1703895804475.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0719_en_5.2.2_3.0_1703895804475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0719","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0719","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0719| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sufezcz/distilbert-base-uncased_emotion_ft_0719 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_2334_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_2334_en.md new file mode 100644 index 0000000000000..c518f23412107 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_emotion_ft_2334_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_2334 DistilBertForSequenceClassification from pansysy +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_2334 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_2334` is a English model originally trained by pansysy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_2334_en_5.2.2_3.0_1703942934813.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_2334_en_5.2.2_3.0_1703942934813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_2334","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_2334","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_2334| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pansysy/distilbert-base-uncased_emotion_ft_2334 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_hansomel_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_hansomel_en.md new file mode 100644 index 0000000000000..072349ce64a62 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_hansomel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_hansomel DistilBertForSequenceClassification from HansOMEL +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_hansomel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_hansomel` is a English model originally trained by HansOMEL. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_hansomel_en_5.2.2_3.0_1703902475697.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_hansomel_en_5.2.2_3.0_1703902475697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_hansomel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_hansomel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_hansomel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/HansOMEL/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_moose1108_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_moose1108_en.md new file mode 100644 index 0000000000000..b302745927688 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_moose1108_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_moose1108 DistilBertForSequenceClassification from moose1108 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_moose1108 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_moose1108` is a English model originally trained by moose1108. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_moose1108_en_5.2.2_3.0_1703976404870.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_moose1108_en_5.2.2_3.0_1703976404870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_moose1108","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_moose1108","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_moose1108| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/moose1108/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_xuchenhz_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_xuchenhz_en.md new file mode 100644 index 0000000000000..634742164652d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_xuchenhz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_xuchenhz DistilBertForSequenceClassification from xuchenhz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_xuchenhz +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_xuchenhz` is a English model originally trained by xuchenhz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_xuchenhz_en_5.2.2_3.0_1703972040145.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_xuchenhz_en_5.2.2_3.0_1703972040145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_xuchenhz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_xuchenhz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_xuchenhz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/xuchenhz/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_yuchengfang_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_yuchengfang_en.md new file mode 100644 index 0000000000000..913720e279b9a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_adl_hw1_yuchengfang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_yuchengfang DistilBertForSequenceClassification from yuchengFang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_yuchengfang +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_yuchengfang` is a English model originally trained by yuchengFang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_yuchengfang_en_5.2.2_3.0_1703901123261.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_yuchengfang_en_5.2.2_3.0_1703901123261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_yuchengfang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_yuchengfang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_yuchengfang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/yuchengFang/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_en.md new file mode 100644 index 0000000000000..03e1fcb35d93b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_btc_2 DistilBertForSequenceClassification from mmohamme +author: John Snow Labs +name: distilbert_base_uncased_finetuned_btc_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_btc_2` is a English model originally trained by mmohamme. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_2_en_5.2.2_3.0_1703894838608.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_2_en_5.2.2_3.0_1703894838608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_btc_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_btc_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_btc_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mmohamme/distilbert-base-uncased-finetuned-btc_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_ue_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_ue_en.md new file mode 100644 index 0000000000000..48184af2f7d54 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_btc_2_ue_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_btc_2_ue DistilBertForSequenceClassification from mmohamme +author: John Snow Labs +name: distilbert_base_uncased_finetuned_btc_2_ue +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_btc_2_ue` is a English model originally trained by mmohamme. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_2_ue_en_5.2.2_3.0_1703896741485.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_2_ue_en_5.2.2_3.0_1703896741485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_btc_2_ue","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_btc_2_ue","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_btc_2_ue| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/mmohamme/distilbert-base-uncased-finetuned-btc_2_ue \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_anantonios9_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_anantonios9_en.md new file mode 100644 index 0000000000000..b7ec7ad5ddb7f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_anantonios9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_anantonios9 DistilBertForSequenceClassification from anantonios9 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_anantonios9 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_anantonios9` is a English model originally trained by anantonios9. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_anantonios9_en_5.2.2_3.0_1703966695294.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_anantonios9_en_5.2.2_3.0_1703966695294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_anantonios9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_anantonios9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_anantonios9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/anantonios9/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ashuku_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ashuku_en.md new file mode 100644 index 0000000000000..b9cedae36cf9f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ashuku_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_ashuku DistilBertForSequenceClassification from Ashuku +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_ashuku +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ashuku` is a English model originally trained by Ashuku. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ashuku_en_5.2.2_3.0_1703909652702.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ashuku_en_5.2.2_3.0_1703909652702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ashuku","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ashuku","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_ashuku| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Ashuku/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_bobojjhh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_bobojjhh_en.md new file mode 100644 index 0000000000000..c80100d9eb978 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_bobojjhh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_bobojjhh DistilBertForSequenceClassification from bobojjhh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_bobojjhh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_bobojjhh` is a English model originally trained by bobojjhh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bobojjhh_en_5.2.2_3.0_1703901100578.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bobojjhh_en_5.2.2_3.0_1703901100578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_bobojjhh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_bobojjhh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_bobojjhh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/bobojjhh/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_igory1999_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_igory1999_en.md new file mode 100644 index 0000000000000..36462237eeb94 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_igory1999_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_igory1999 DistilBertForSequenceClassification from igory1999 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_igory1999 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_igory1999` is a English model originally trained by igory1999. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_igory1999_en_5.2.2_3.0_1703913660831.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_igory1999_en_5.2.2_3.0_1703913660831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_igory1999","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_igory1999","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_igory1999| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/igory1999/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_jayulll_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_jayulll_en.md new file mode 100644 index 0000000000000..ce98899ca773f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_jayulll_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_jayulll DistilBertForSequenceClassification from jayulll +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_jayulll +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_jayulll` is a English model originally trained by jayulll. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jayulll_en_5.2.2_3.0_1703970674374.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jayulll_en_5.2.2_3.0_1703970674374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jayulll","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jayulll","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_jayulll| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/jayulll/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_kkt4828_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_kkt4828_en.md new file mode 100644 index 0000000000000..f6a23b4f674e5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_kkt4828_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_kkt4828 DistilBertForSequenceClassification from kkt4828 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_kkt4828 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_kkt4828` is a English model originally trained by kkt4828. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kkt4828_en_5.2.2_3.0_1703947669324.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_kkt4828_en_5.2.2_3.0_1703947669324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_kkt4828","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_kkt4828","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_kkt4828| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/kkt4828/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_lino_ver2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_lino_ver2_en.md new file mode 100644 index 0000000000000..4eaf84b5aa5ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_lino_ver2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_lino_ver2 DistilBertForSequenceClassification from Lino-ver2 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_lino_ver2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_lino_ver2` is a English model originally trained by Lino-ver2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_lino_ver2_en_5.2.2_3.0_1703900653811.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_lino_ver2_en_5.2.2_3.0_1703900653811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_lino_ver2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_lino_ver2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_lino_ver2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Lino-ver2/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_mabrouk_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_mabrouk_en.md new file mode 100644 index 0000000000000..c53e3a8dfd862 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_mabrouk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_mabrouk DistilBertForSequenceClassification from mabrouk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_mabrouk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_mabrouk` is a English model originally trained by mabrouk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mabrouk_en_5.2.2_3.0_1703944389031.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mabrouk_en_5.2.2_3.0_1703944389031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_mabrouk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_mabrouk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_mabrouk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/mabrouk/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_maxnet_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_maxnet_en.md new file mode 100644 index 0000000000000..a92b5fcc2753c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_maxnet_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_maxnet DistilBertForSequenceClassification from Maxnet +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_maxnet +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_maxnet` is a English model originally trained by Maxnet. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_maxnet_en_5.2.2_3.0_1703964775112.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_maxnet_en_5.2.2_3.0_1703964775112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_maxnet","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_maxnet","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_maxnet| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Maxnet/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_nerdai_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_nerdai_en.md new file mode 100644 index 0000000000000..f1c93dd7c54c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_nerdai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_nerdai DistilBertForSequenceClassification from nerdai +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_nerdai +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_nerdai` is a English model originally trained by nerdai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nerdai_en_5.2.2_3.0_1703933943310.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nerdai_en_5.2.2_3.0_1703933943310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nerdai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nerdai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_nerdai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nerdai/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pensuke_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pensuke_en.md new file mode 100644 index 0000000000000..d51af653dc98f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pensuke_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_pensuke DistilBertForSequenceClassification from pensuke +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_pensuke +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_pensuke` is a English model originally trained by pensuke. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_pensuke_en_5.2.2_3.0_1703900089942.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_pensuke_en_5.2.2_3.0_1703900089942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_pensuke","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_pensuke","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_pensuke| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/pensuke/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pradeepiisc_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pradeepiisc_en.md new file mode 100644 index 0000000000000..c42a05da04c4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_pradeepiisc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_pradeepiisc DistilBertForSequenceClassification from pradeepiisc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_pradeepiisc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_pradeepiisc` is a English model originally trained by pradeepiisc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_pradeepiisc_en_5.2.2_3.0_1703903244891.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_pradeepiisc_en_5.2.2_3.0_1703903244891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_pradeepiisc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_pradeepiisc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_pradeepiisc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/pradeepiisc/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_r4ghu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_r4ghu_en.md new file mode 100644 index 0000000000000..16a2d1b32c153 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_r4ghu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_r4ghu DistilBertForSequenceClassification from r4ghu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_r4ghu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_r4ghu` is a English model originally trained by r4ghu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_r4ghu_en_5.2.2_3.0_1703966200160.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_r4ghu_en_5.2.2_3.0_1703966200160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_r4ghu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_r4ghu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_r4ghu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/r4ghu/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ridealist_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ridealist_en.md new file mode 100644 index 0000000000000..ffad970e1859d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_ridealist_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_ridealist DistilBertForSequenceClassification from Ridealist +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_ridealist +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ridealist` is a English model originally trained by Ridealist. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ridealist_en_5.2.2_3.0_1703949565462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ridealist_en_5.2.2_3.0_1703949565462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ridealist","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ridealist","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_ridealist| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Ridealist/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_shindj_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_shindj_en.md new file mode 100644 index 0000000000000..12f0691dda29e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_shindj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_shindj DistilBertForSequenceClassification from ShinDJ +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_shindj +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_shindj` is a English model originally trained by ShinDJ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_shindj_en_5.2.2_3.0_1703896086987.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_shindj_en_5.2.2_3.0_1703896086987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_shindj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_shindj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_shindj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ShinDJ/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_sreeshbk_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_sreeshbk_en.md new file mode 100644 index 0000000000000..2ceebecec32ab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_sreeshbk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_sreeshbk DistilBertForSequenceClassification from Sreeshbk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_sreeshbk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_sreeshbk` is a English model originally trained by Sreeshbk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sreeshbk_en_5.2.2_3.0_1703948824677.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sreeshbk_en_5.2.2_3.0_1703948824677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_sreeshbk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_sreeshbk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_sreeshbk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Sreeshbk/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_svensk_k_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_svensk_k_en.md new file mode 100644 index 0000000000000..b56ef463f2a6b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_svensk_k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_svensk_k DistilBertForSequenceClassification from svensk-k +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_svensk_k +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_svensk_k` is a English model originally trained by svensk-k. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_svensk_k_en_5.2.2_3.0_1703966036953.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_svensk_k_en_5.2.2_3.0_1703966036953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_svensk_k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_svensk_k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_svensk_k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/svensk-k/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_tungle_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_tungle_en.md new file mode 100644 index 0000000000000..7c93bd3f8e4d4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_tungle_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_tungle DistilBertForSequenceClassification from tungle +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_tungle +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_tungle` is a English model originally trained by tungle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_tungle_en_5.2.2_3.0_1703936044333.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_tungle_en_5.2.2_3.0_1703936044333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_tungle","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_tungle","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_tungle| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/tungle/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_twidfeel_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_twidfeel_en.md new file mode 100644 index 0000000000000..9aea4d602a6b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_twidfeel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_twidfeel DistilBertForSequenceClassification from twidfeel +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_twidfeel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_twidfeel` is a English model originally trained by twidfeel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_twidfeel_en_5.2.2_3.0_1703896476525.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_twidfeel_en_5.2.2_3.0_1703896476525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_twidfeel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_twidfeel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_twidfeel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/twidfeel/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_vonewman_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_vonewman_en.md new file mode 100644 index 0000000000000..a920d0b9ad113 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_vonewman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_vonewman DistilBertForSequenceClassification from vonewman +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_vonewman +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_vonewman` is a English model originally trained by vonewman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_vonewman_en_5.2.2_3.0_1703979607669.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_vonewman_en_5.2.2_3.0_1703979607669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_vonewman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_vonewman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_vonewman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/vonewman/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_yong_sik_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_yong_sik_en.md new file mode 100644 index 0000000000000..bfdf41748b612 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_clinc_yong_sik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_yong_sik DistilBertForSequenceClassification from Yong-Sik +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_yong_sik +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_yong_sik` is a English model originally trained by Yong-Sik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yong_sik_en_5.2.2_3.0_1703933669465.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yong_sik_en_5.2.2_3.0_1703933669465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yong_sik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yong_sik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_yong_sik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Yong-Sik/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_1juanromero_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_1juanromero_en.md new file mode 100644 index 0000000000000..65a436a390dac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_1juanromero_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_1juanromero DistilBertForSequenceClassification from 1juanromero +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_1juanromero +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_1juanromero` is a English model originally trained by 1juanromero. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_1juanromero_en_5.2.2_3.0_1703934808848.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_1juanromero_en_5.2.2_3.0_1703934808848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_1juanromero","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_1juanromero","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_1juanromero| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/1juanromero/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_abcp4_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_abcp4_en.md new file mode 100644 index 0000000000000..0a5e59b2535a2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_abcp4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_abcp4 DistilBertForSequenceClassification from abcp4 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_abcp4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_abcp4` is a English model originally trained by abcp4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_abcp4_en_5.2.2_3.0_1703972078217.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_abcp4_en_5.2.2_3.0_1703972078217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_abcp4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_abcp4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_abcp4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abcp4/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_akashalphastream_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_akashalphastream_en.md new file mode 100644 index 0000000000000..9a84fea9190b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_akashalphastream_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_akashalphastream DistilBertForSequenceClassification from akashAlphastream +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_akashalphastream +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_akashalphastream` is a English model originally trained by akashAlphastream. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akashalphastream_en_5.2.2_3.0_1703894780426.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akashalphastream_en_5.2.2_3.0_1703894780426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_akashalphastream","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_akashalphastream","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_akashalphastream| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/akashAlphastream/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_aminediab_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_aminediab_en.md new file mode 100644 index 0000000000000..96e972a109126 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_aminediab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_aminediab DistilBertForSequenceClassification from aminediab +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_aminediab +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_aminediab` is a English model originally trained by aminediab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aminediab_en_5.2.2_3.0_1703895685362.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aminediab_en_5.2.2_3.0_1703895685362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aminediab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aminediab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_aminediab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aminediab/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_anamoha_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_anamoha_en.md new file mode 100644 index 0000000000000..4ff68424e5fc9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_anamoha_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_anamoha DistilBertForSequenceClassification from anamoha +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_anamoha +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_anamoha` is a English model originally trained by anamoha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anamoha_en_5.2.2_3.0_1703943665991.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anamoha_en_5.2.2_3.0_1703943665991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_anamoha","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_anamoha","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_anamoha| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/anamoha/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_chhavnish_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_chhavnish_en.md new file mode 100644 index 0000000000000..e07e0c9a67eb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_chhavnish_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_chhavnish DistilBertForSequenceClassification from Chhavnish +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_chhavnish +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_chhavnish` is a English model originally trained by Chhavnish. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_chhavnish_en_5.2.2_3.0_1703896303972.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_chhavnish_en_5.2.2_3.0_1703896303972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_chhavnish","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_chhavnish","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_chhavnish| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chhavnish/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_danxtshake_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_danxtshake_en.md new file mode 100644 index 0000000000000..d3e8a78c1ff03 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_danxtshake_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_danxtshake DistilBertForSequenceClassification from Danxtshake +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_danxtshake +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_danxtshake` is a English model originally trained by Danxtshake. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_danxtshake_en_5.2.2_3.0_1703946834202.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_danxtshake_en_5.2.2_3.0_1703946834202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_danxtshake","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_danxtshake","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_danxtshake| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Danxtshake/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_davanstrien_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_davanstrien_en.md new file mode 100644 index 0000000000000..0652856a9710b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_davanstrien_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_davanstrien DistilBertForSequenceClassification from davanstrien +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_davanstrien +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_davanstrien` is a English model originally trained by davanstrien. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_davanstrien_en_5.2.2_3.0_1703966518892.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_davanstrien_en_5.2.2_3.0_1703966518892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_davanstrien","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_davanstrien","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_davanstrien| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/davanstrien/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_deveshr_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_deveshr_en.md new file mode 100644 index 0000000000000..51c8d737b9e2a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_deveshr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_deveshr DistilBertForSequenceClassification from deveshr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_deveshr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_deveshr` is a English model originally trained by deveshr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_deveshr_en_5.2.2_3.0_1703898959684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_deveshr_en_5.2.2_3.0_1703898959684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_deveshr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_deveshr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_deveshr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/deveshr/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_divyavanmahajan_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_divyavanmahajan_en.md new file mode 100644 index 0000000000000..a72faece0b299 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_divyavanmahajan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_divyavanmahajan DistilBertForSequenceClassification from divyavanmahajan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_divyavanmahajan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_divyavanmahajan` is a English model originally trained by divyavanmahajan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_divyavanmahajan_en_5.2.2_3.0_1703901368068.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_divyavanmahajan_en_5.2.2_3.0_1703901368068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_divyavanmahajan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_divyavanmahajan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_divyavanmahajan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/divyavanmahajan/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_happyterrylol_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_happyterrylol_en.md new file mode 100644 index 0000000000000..a6b7a1e6f441d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_happyterrylol_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_happyterrylol DistilBertForSequenceClassification from happyterrylol +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_happyterrylol +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_happyterrylol` is a English model originally trained by happyterrylol. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_happyterrylol_en_5.2.2_3.0_1703921114439.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_happyterrylol_en_5.2.2_3.0_1703921114439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_happyterrylol","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_happyterrylol","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_happyterrylol| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/happyterrylol/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hasanpa_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hasanpa_en.md new file mode 100644 index 0000000000000..551f5208c4027 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hasanpa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_hasanpa DistilBertForSequenceClassification from HasanPA +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_hasanpa +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hasanpa` is a English model originally trained by HasanPA. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hasanpa_en_5.2.2_3.0_1703937193497.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hasanpa_en_5.2.2_3.0_1703937193497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hasanpa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hasanpa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_hasanpa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HasanPA/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hu4i_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hu4i_en.md new file mode 100644 index 0000000000000..641cae3ebd7fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_hu4i_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_hu4i DistilBertForSequenceClassification from hu4i +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_hu4i +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hu4i` is a English model originally trained by hu4i. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hu4i_en_5.2.2_3.0_1703941023811.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hu4i_en_5.2.2_3.0_1703941023811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hu4i","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_hu4i","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_hu4i| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hu4i/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_jordanotsuji_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_jordanotsuji_en.md new file mode 100644 index 0000000000000..fa03b4d1759bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_jordanotsuji_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jordanotsuji DistilBertForSequenceClassification from jordanotsuji +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jordanotsuji +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jordanotsuji` is a English model originally trained by jordanotsuji. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jordanotsuji_en_5.2.2_3.0_1703937996220.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jordanotsuji_en_5.2.2_3.0_1703937996220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jordanotsuji","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jordanotsuji","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jordanotsuji| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jordanotsuji/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_keikofujii_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_keikofujii_en.md new file mode 100644 index 0000000000000..7726b8d3bdcaa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_keikofujii_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_keikofujii DistilBertForSequenceClassification from keikofujii +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_keikofujii +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_keikofujii` is a English model originally trained by keikofujii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_keikofujii_en_5.2.2_3.0_1703942247989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_keikofujii_en_5.2.2_3.0_1703942247989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_keikofujii","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_keikofujii","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_keikofujii| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/keikofujii/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_lisamb_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_lisamb_en.md new file mode 100644 index 0000000000000..3efac43b58618 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_lisamb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_lisamb DistilBertForSequenceClassification from lisamb +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_lisamb +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_lisamb` is a English model originally trained by lisamb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_lisamb_en_5.2.2_3.0_1703934951878.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_lisamb_en_5.2.2_3.0_1703934951878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_lisamb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_lisamb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_lisamb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lisamb/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_martin_north_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_martin_north_en.md new file mode 100644 index 0000000000000..646d9b949e920 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_martin_north_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_martin_north DistilBertForSequenceClassification from martin-north +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_martin_north +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_martin_north` is a English model originally trained by martin-north. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_martin_north_en_5.2.2_3.0_1703895472440.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_martin_north_en_5.2.2_3.0_1703895472440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_martin_north","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_martin_north","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_martin_north| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/martin-north/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mke10_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mke10_en.md new file mode 100644 index 0000000000000..10cc3135704d1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mke10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_mke10 DistilBertForSequenceClassification from mke10 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_mke10 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_mke10` is a English model originally trained by mke10. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mke10_en_5.2.2_3.0_1703939983695.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mke10_en_5.2.2_3.0_1703939983695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mke10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mke10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_mke10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mke10/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mzbrdy_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mzbrdy_en.md new file mode 100644 index 0000000000000..95ebc77603869 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_mzbrdy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_mzbrdy DistilBertForSequenceClassification from mzbrdy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_mzbrdy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_mzbrdy` is a English model originally trained by mzbrdy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mzbrdy_en_5.2.2_3.0_1703901667119.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mzbrdy_en_5.2.2_3.0_1703901667119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mzbrdy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_mzbrdy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_mzbrdy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mzbrdy/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_palaiole13_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_palaiole13_en.md new file mode 100644 index 0000000000000..54e17b0f7d758 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_palaiole13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_palaiole13 DistilBertForSequenceClassification from palaiole13 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_palaiole13 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_palaiole13` is a English model originally trained by palaiole13. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_palaiole13_en_5.2.2_3.0_1703901352806.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_palaiole13_en_5.2.2_3.0_1703901352806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_palaiole13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_palaiole13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_palaiole13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/palaiole13/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_pj2111_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_pj2111_en.md new file mode 100644 index 0000000000000..cbe434c4cb73a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_pj2111_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_pj2111 DistilBertForSequenceClassification from pj2111 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_pj2111 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_pj2111` is a English model originally trained by pj2111. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pj2111_en_5.2.2_3.0_1703935075830.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pj2111_en_5.2.2_3.0_1703935075830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_pj2111","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_pj2111","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_pj2111| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pj2111/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_robinson_odh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_robinson_odh_en.md new file mode 100644 index 0000000000000..2e67d57f51c0a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_robinson_odh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_robinson_odh DistilBertForSequenceClassification from robinson-odh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_robinson_odh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_robinson_odh` is a English model originally trained by robinson-odh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robinson_odh_en_5.2.2_3.0_1703964191316.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robinson_odh_en_5.2.2_3.0_1703964191316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_robinson_odh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_robinson_odh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_robinson_odh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/robinson-odh/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_skaw_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_skaw_en.md new file mode 100644 index 0000000000000..ef71140e08079 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_skaw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_skaw DistilBertForSequenceClassification from skaw +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_skaw +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_skaw` is a English model originally trained by skaw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_skaw_en_5.2.2_3.0_1703934018955.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_skaw_en_5.2.2_3.0_1703934018955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_skaw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_skaw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_skaw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/skaw/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_thisisankit_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_thisisankit_en.md new file mode 100644 index 0000000000000..1c4be405b6dcc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_thisisankit_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_thisisankit DistilBertForSequenceClassification from thisisankit +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_thisisankit +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_thisisankit` is a English model originally trained by thisisankit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_thisisankit_en_5.2.2_3.0_1703898204149.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_thisisankit_en_5.2.2_3.0_1703898204149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_thisisankit","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_thisisankit","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_thisisankit| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thisisankit/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_yoseflaw_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_yoseflaw_en.md new file mode 100644 index 0000000000000..26db4e0aed490 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_yoseflaw_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_yoseflaw DistilBertForSequenceClassification from yoseflaw +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_yoseflaw +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_yoseflaw` is a English model originally trained by yoseflaw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_yoseflaw_en_5.2.2_3.0_1703905448102.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_yoseflaw_en_5.2.2_3.0_1703905448102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_yoseflaw","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_yoseflaw","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_yoseflaw| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yoseflaw/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_zaid_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_zaid_en.md new file mode 100644 index 0000000000000..ab3a9f2921e5b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_cola_zaid_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_zaid DistilBertForSequenceClassification from Zaid +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_zaid +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zaid` is a English model originally trained by Zaid. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zaid_en_5.2.2_3.0_1703895637931.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zaid_en_5.2.2_3.0_1703895637931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zaid","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zaid","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_zaid| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zaid/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_0ppxnhximxr_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_0ppxnhximxr_en.md new file mode 100644 index 0000000000000..2d687b33b3b55 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_0ppxnhximxr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_0ppxnhximxr DistilBertForSequenceClassification from 0ppxnhximxr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_0ppxnhximxr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_0ppxnhximxr` is a English model originally trained by 0ppxnhximxr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0ppxnhximxr_en_5.2.2_3.0_1703940291664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0ppxnhximxr_en_5.2.2_3.0_1703940291664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_0ppxnhximxr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_0ppxnhximxr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_0ppxnhximxr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/0ppxnhximxr/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_54data_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_54data_en.md new file mode 100644 index 0000000000000..ff883c3d4bf3a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_54data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_54data DistilBertForSequenceClassification from 54data +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_54data +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_54data` is a English model originally trained by 54data. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_54data_en_5.2.2_3.0_1703910206848.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_54data_en_5.2.2_3.0_1703910206848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_54data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_54data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_54data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/54data/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_aboudaladdin_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_aboudaladdin_en.md new file mode 100644 index 0000000000000..e9f814beb27cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_aboudaladdin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_aboudaladdin DistilBertForSequenceClassification from aboudaladdin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_aboudaladdin +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aboudaladdin` is a English model originally trained by aboudaladdin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aboudaladdin_en_5.2.2_3.0_1703964653600.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aboudaladdin_en_5.2.2_3.0_1703964653600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aboudaladdin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_aboudaladdin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_aboudaladdin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aboudaladdin/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_adrianacup_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_adrianacup_en.md new file mode 100644 index 0000000000000..bce5bd7760f63 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_adrianacup_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_adrianacup DistilBertForSequenceClassification from AdrianaCup +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_adrianacup +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_adrianacup` is a English model originally trained by AdrianaCup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adrianacup_en_5.2.2_3.0_1703918186233.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adrianacup_en_5.2.2_3.0_1703918186233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_adrianacup","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_adrianacup","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_adrianacup| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AdrianaCup/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_agustinst1990_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_agustinst1990_en.md new file mode 100644 index 0000000000000..cc9ab49b71e54 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_agustinst1990_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_agustinst1990 DistilBertForSequenceClassification from agustinst1990 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_agustinst1990 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_agustinst1990` is a English model originally trained by agustinst1990. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agustinst1990_en_5.2.2_3.0_1703898094614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agustinst1990_en_5.2.2_3.0_1703898094614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_agustinst1990","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_agustinst1990","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_agustinst1990| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/agustinst1990/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ahmedkishki_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ahmedkishki_en.md new file mode 100644 index 0000000000000..d1a798eb2731c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ahmedkishki_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ahmedkishki DistilBertForSequenceClassification from AhmedKishki +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ahmedkishki +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ahmedkishki` is a English model originally trained by AhmedKishki. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmedkishki_en_5.2.2_3.0_1703915833559.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmedkishki_en_5.2.2_3.0_1703915833559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ahmedkishki","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ahmedkishki","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ahmedkishki| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AhmedKishki/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexanderbond_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexanderbond_en.md new file mode 100644 index 0000000000000..48d140993a41d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexanderbond_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alexanderbond DistilBertForSequenceClassification from AlexanderBond +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alexanderbond +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alexanderbond` is a English model originally trained by AlexanderBond. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexanderbond_en_5.2.2_3.0_1703979369288.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexanderbond_en_5.2.2_3.0_1703979369288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexanderbond","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexanderbond","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alexanderbond| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AlexanderBond/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexredna_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexredna_en.md new file mode 100644 index 0000000000000..e595fabc1f5ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alexredna_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alexredna DistilBertForSequenceClassification from alexredna +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alexredna +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alexredna` is a English model originally trained by alexredna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexredna_en_5.2.2_3.0_1703912456083.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexredna_en_5.2.2_3.0_1703912456083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexredna","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexredna","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alexredna| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alexredna/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alokedeep_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alokedeep_en.md new file mode 100644 index 0000000000000..4bca578d15395 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alokedeep_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alokedeep DistilBertForSequenceClassification from alokedeep +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alokedeep +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alokedeep` is a English model originally trained by alokedeep. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alokedeep_en_5.2.2_3.0_1703934638411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alokedeep_en_5.2.2_3.0_1703934638411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alokedeep","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alokedeep","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alokedeep| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alokedeep/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alsaadiask_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alsaadiask_en.md new file mode 100644 index 0000000000000..fedeae269b340 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_alsaadiask_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alsaadiask DistilBertForSequenceClassification from Alsaadiask +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alsaadiask +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alsaadiask` is a English model originally trained by Alsaadiask. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alsaadiask_en_5.2.2_3.0_1703896452805.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alsaadiask_en_5.2.2_3.0_1703896452805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alsaadiask","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alsaadiask","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alsaadiask| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Alsaadiask/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_anshuls235_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_anshuls235_en.md new file mode 100644 index 0000000000000..26b80ba3f7341 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_anshuls235_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_anshuls235 DistilBertForSequenceClassification from anshuls235 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_anshuls235 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_anshuls235` is a English model originally trained by anshuls235. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anshuls235_en_5.2.2_3.0_1703935867764.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anshuls235_en_5.2.2_3.0_1703935867764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anshuls235","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anshuls235","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_anshuls235| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anshuls235/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashkrit_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashkrit_en.md new file mode 100644 index 0000000000000..b6503e09ac72e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashkrit_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ashkrit DistilBertForSequenceClassification from ashkrit +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ashkrit +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ashkrit` is a English model originally trained by ashkrit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashkrit_en_5.2.2_3.0_1703965574300.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashkrit_en_5.2.2_3.0_1703965574300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ashkrit","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ashkrit","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ashkrit| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ashkrit/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashuku_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashuku_en.md new file mode 100644 index 0000000000000..54f8a640d8df3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ashuku_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ashuku DistilBertForSequenceClassification from Ashuku +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ashuku +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ashuku` is a English model originally trained by Ashuku. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashuku_en_5.2.2_3.0_1703945974561.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashuku_en_5.2.2_3.0_1703945974561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ashuku","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ashuku","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ashuku| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ashuku/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bennef_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bennef_en.md new file mode 100644 index 0000000000000..9d36e0caaf00d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bennef_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bennef DistilBertForSequenceClassification from BenneF +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bennef +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bennef` is a English model originally trained by BenneF. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bennef_en_5.2.2_3.0_1703934327940.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bennef_en_5.2.2_3.0_1703934327940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bennef","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bennef","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bennef| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BenneF/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bishopxu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bishopxu_en.md new file mode 100644 index 0000000000000..ec9983948357b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bishopxu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bishopxu DistilBertForSequenceClassification from bishopxu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bishopxu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bishopxu` is a English model originally trained by bishopxu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bishopxu_en_5.2.2_3.0_1703935708529.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bishopxu_en_5.2.2_3.0_1703935708529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bishopxu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bishopxu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bishopxu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bishopxu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bkhappy_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bkhappy_en.md new file mode 100644 index 0000000000000..978b7b0ac0d3f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bkhappy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bkhappy DistilBertForSequenceClassification from bkhappy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bkhappy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bkhappy` is a English model originally trained by bkhappy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bkhappy_en_5.2.2_3.0_1703934233448.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bkhappy_en_5.2.2_3.0_1703934233448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bkhappy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bkhappy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bkhappy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bkhappy/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bobojjhh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bobojjhh_en.md new file mode 100644 index 0000000000000..4da93917acc77 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bobojjhh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bobojjhh DistilBertForSequenceClassification from bobojjhh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bobojjhh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bobojjhh` is a English model originally trained by bobojjhh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bobojjhh_en_5.2.2_3.0_1703907002122.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bobojjhh_en_5.2.2_3.0_1703907002122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bobojjhh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bobojjhh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bobojjhh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bobojjhh/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bonon_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bonon_en.md new file mode 100644 index 0000000000000..253b0415a45e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_bonon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bonon DistilBertForSequenceClassification from Bonon +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bonon +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bonon` is a English model originally trained by Bonon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bonon_en_5.2.2_3.0_1703977558782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bonon_en_5.2.2_3.0_1703977558782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bonon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bonon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bonon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Bonon/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_calcifer2023_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_calcifer2023_en.md new file mode 100644 index 0000000000000..1d2900b95be62 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_calcifer2023_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_calcifer2023 DistilBertForSequenceClassification from calcifer2023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_calcifer2023 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_calcifer2023` is a English model originally trained by calcifer2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_calcifer2023_en_5.2.2_3.0_1703900290098.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_calcifer2023_en_5.2.2_3.0_1703900290098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_calcifer2023","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_calcifer2023","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_calcifer2023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/calcifer2023/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_carameltt_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_carameltt_en.md new file mode 100644 index 0000000000000..95923ded96f08 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_carameltt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_carameltt DistilBertForSequenceClassification from caramelTT +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_carameltt +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carameltt` is a English model originally trained by caramelTT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carameltt_en_5.2.2_3.0_1703894629729.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carameltt_en_5.2.2_3.0_1703894629729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_carameltt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_carameltt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_carameltt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/caramelTT/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cfreyre_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cfreyre_en.md new file mode 100644 index 0000000000000..b7ebd68af1a43 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cfreyre_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_cfreyre DistilBertForSequenceClassification from cfreyre +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_cfreyre +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cfreyre` is a English model originally trained by cfreyre. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cfreyre_en_5.2.2_3.0_1703976032261.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cfreyre_en_5.2.2_3.0_1703976032261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cfreyre","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cfreyre","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_cfreyre| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cfreyre/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_charlyfive_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_charlyfive_en.md new file mode 100644 index 0000000000000..f9d4ca856bc04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_charlyfive_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_charlyfive DistilBertForSequenceClassification from charlyfive +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_charlyfive +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_charlyfive` is a English model originally trained by charlyfive. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charlyfive_en_5.2.2_3.0_1703894992397.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charlyfive_en_5.2.2_3.0_1703894992397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_charlyfive","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_charlyfive","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_charlyfive| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/charlyfive/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_clone_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_clone_en.md new file mode 100644 index 0000000000000..14cf806153a67 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_clone_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_clone DistilBertForSequenceClassification from piyushathawale +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_clone +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_clone` is a English model originally trained by piyushathawale. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_clone_en_5.2.2_3.0_1703964495372.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_clone_en_5.2.2_3.0_1703964495372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_clone","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_clone","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_clone| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/piyushathawale/distilbert-base-uncased-finetuned-emotion-clone \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cwst_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cwst_en.md new file mode 100644 index 0000000000000..f758e81be41f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cwst_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_cwst DistilBertForSequenceClassification from cwst +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_cwst +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cwst` is a English model originally trained by cwst. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cwst_en_5.2.2_3.0_1703898342587.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cwst_en_5.2.2_3.0_1703898342587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cwst","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cwst","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_cwst| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cwst/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cyrt_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cyrt_en.md new file mode 100644 index 0000000000000..3fd07d6b4602a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_cyrt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_cyrt DistilBertForSequenceClassification from CYRT +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_cyrt +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cyrt` is a English model originally trained by CYRT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cyrt_en_5.2.2_3.0_1703896600463.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cyrt_en_5.2.2_3.0_1703896600463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cyrt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cyrt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_cyrt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CYRT/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daliahx_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daliahx_en.md new file mode 100644 index 0000000000000..6e1f0f8f43f02 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daliahx_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_daliahx DistilBertForSequenceClassification from DaliahX +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_daliahx +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_daliahx` is a English model originally trained by DaliahX. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daliahx_en_5.2.2_3.0_1703894649403.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daliahx_en_5.2.2_3.0_1703894649403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daliahx","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daliahx","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_daliahx| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DaliahX/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dan22dongwon_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dan22dongwon_en.md new file mode 100644 index 0000000000000..114e4feceb1fe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dan22dongwon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dan22dongwon DistilBertForSequenceClassification from Dan22dongwon +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dan22dongwon +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dan22dongwon` is a English model originally trained by Dan22dongwon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dan22dongwon_en_5.2.2_3.0_1703947271864.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dan22dongwon_en_5.2.2_3.0_1703947271864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dan22dongwon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dan22dongwon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dan22dongwon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Dan22dongwon/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daniiell_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daniiell_en.md new file mode 100644 index 0000000000000..475a381d0d882 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_daniiell_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_daniiell DistilBertForSequenceClassification from Daniiell +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_daniiell +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_daniiell` is a English model originally trained by Daniiell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daniiell_en_5.2.2_3.0_1703899059338.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daniiell_en_5.2.2_3.0_1703899059338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daniiell","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_daniiell","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_daniiell| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Daniiell/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dimcall_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dimcall_en.md new file mode 100644 index 0000000000000..38c1986c692e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dimcall_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dimcall DistilBertForSequenceClassification from dimcall +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dimcall +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dimcall` is a English model originally trained by dimcall. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dimcall_en_5.2.2_3.0_1703902480036.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dimcall_en_5.2.2_3.0_1703902480036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dimcall","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dimcall","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dimcall| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dimcall/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dlosada_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dlosada_en.md new file mode 100644 index 0000000000000..c3ed04c7a3907 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dlosada_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dlosada DistilBertForSequenceClassification from dlosada +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dlosada +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dlosada` is a English model originally trained by dlosada. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dlosada_en_5.2.2_3.0_1703937999687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dlosada_en_5.2.2_3.0_1703937999687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dlosada","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dlosada","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dlosada| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dlosada/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dooleyz_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dooleyz_en.md new file mode 100644 index 0000000000000..504d31f0dd166 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dooleyz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dooleyz DistilBertForSequenceClassification from dooleyz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dooleyz +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dooleyz` is a English model originally trained by dooleyz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dooleyz_en_5.2.2_3.0_1703974697454.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dooleyz_en_5.2.2_3.0_1703974697454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dooleyz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dooleyz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dooleyz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dooleyz/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dream100_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dream100_en.md new file mode 100644 index 0000000000000..6ee8a9fe7210c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_dream100_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dream100 DistilBertForSequenceClassification from Dream100 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dream100 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dream100` is a English model originally trained by Dream100. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dream100_en_5.2.2_3.0_1703936035149.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dream100_en_5.2.2_3.0_1703936035149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dream100","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dream100","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dream100| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Dream100/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ductruong_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ductruong_en.md new file mode 100644 index 0000000000000..dca3e19a4a71e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ductruong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ductruong DistilBertForSequenceClassification from ductruong +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ductruong +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ductruong` is a English model originally trained by ductruong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ductruong_en_5.2.2_3.0_1703898307967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ductruong_en_5.2.2_3.0_1703898307967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ductruong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ductruong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ductruong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ductruong/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_efoley_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_efoley_en.md new file mode 100644 index 0000000000000..0bc7dc8795411 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_efoley_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_efoley DistilBertForSequenceClassification from efoley +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_efoley +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_efoley` is a English model originally trained by efoley. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_efoley_en_5.2.2_3.0_1703912629195.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_efoley_en_5.2.2_3.0_1703912629195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_efoley","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_efoley","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_efoley| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/efoley/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_elinana_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_elinana_en.md new file mode 100644 index 0000000000000..11cd32177ea5e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_elinana_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_elinana DistilBertForSequenceClassification from Elinana +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_elinana +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_elinana` is a English model originally trained by Elinana. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_elinana_en_5.2.2_3.0_1703934507459.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_elinana_en_5.2.2_3.0_1703934507459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_elinana","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_elinana","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_elinana| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Elinana/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ericoh929_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ericoh929_en.md new file mode 100644 index 0000000000000..fa360c8795ed5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ericoh929_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ericoh929 DistilBertForSequenceClassification from ericoh929 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ericoh929 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ericoh929` is a English model originally trained by ericoh929. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ericoh929_en_5.2.2_3.0_1703945812457.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ericoh929_en_5.2.2_3.0_1703945812457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ericoh929","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ericoh929","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ericoh929| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ericoh929/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fkr1306_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fkr1306_en.md new file mode 100644 index 0000000000000..60f4d5d40c77e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fkr1306_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_fkr1306 DistilBertForSequenceClassification from fkr1306 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_fkr1306 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fkr1306` is a English model originally trained by fkr1306. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fkr1306_en_5.2.2_3.0_1703968854115.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fkr1306_en_5.2.2_3.0_1703968854115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fkr1306","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fkr1306","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_fkr1306| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fkr1306/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_flatypus_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_flatypus_en.md new file mode 100644 index 0000000000000..357285fae892e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_flatypus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_flatypus DistilBertForSequenceClassification from flatypus +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_flatypus +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_flatypus` is a English model originally trained by flatypus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_flatypus_en_5.2.2_3.0_1703965284592.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_flatypus_en_5.2.2_3.0_1703965284592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_flatypus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_flatypus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_flatypus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/flatypus/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fmurray_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fmurray_en.md new file mode 100644 index 0000000000000..00d6267bef3de --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_fmurray_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_fmurray DistilBertForSequenceClassification from fmurray +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_fmurray +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fmurray` is a English model originally trained by fmurray. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fmurray_en_5.2.2_3.0_1703898702917.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fmurray_en_5.2.2_3.0_1703898702917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fmurray","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_fmurray","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_fmurray| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fmurray/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ghks4861_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ghks4861_en.md new file mode 100644 index 0000000000000..3828400092eb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ghks4861_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ghks4861 DistilBertForSequenceClassification from ghks4861 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ghks4861 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ghks4861` is a English model originally trained by ghks4861. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ghks4861_en_5.2.2_3.0_1703965130524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ghks4861_en_5.2.2_3.0_1703965130524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ghks4861","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ghks4861","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ghks4861| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ghks4861/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gibil_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gibil_en.md new file mode 100644 index 0000000000000..04bf637e01f84 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gibil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gibil DistilBertForSequenceClassification from gibil +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gibil +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gibil` is a English model originally trained by gibil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gibil_en_5.2.2_3.0_1703906209849.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gibil_en_5.2.2_3.0_1703906209849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gibil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gibil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gibil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gibil/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gmaggiotti78_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gmaggiotti78_en.md new file mode 100644 index 0000000000000..2dd4770047bb4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gmaggiotti78_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gmaggiotti78 DistilBertForSequenceClassification from gmaggiotti78 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gmaggiotti78 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gmaggiotti78` is a English model originally trained by gmaggiotti78. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gmaggiotti78_en_5.2.2_3.0_1703919658221.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gmaggiotti78_en_5.2.2_3.0_1703919658221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gmaggiotti78","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gmaggiotti78","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gmaggiotti78| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gmaggiotti78/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_good_gaming_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_good_gaming_en.md new file mode 100644 index 0000000000000..32189add28f32 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_good_gaming_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_good_gaming DistilBertForSequenceClassification from good-gaming +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_good_gaming +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_good_gaming` is a English model originally trained by good-gaming. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_good_gaming_en_5.2.2_3.0_1703897158405.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_good_gaming_en_5.2.2_3.0_1703897158405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_good_gaming","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_good_gaming","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_good_gaming| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/good-gaming/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_goodflood_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_goodflood_en.md new file mode 100644 index 0000000000000..114c3ebf8e3c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_goodflood_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_goodflood DistilBertForSequenceClassification from goodflood +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_goodflood +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_goodflood` is a English model originally trained by goodflood. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goodflood_en_5.2.2_3.0_1703895635009.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goodflood_en_5.2.2_3.0_1703895635009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_goodflood","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_goodflood","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_goodflood| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/goodflood/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gravity0704_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gravity0704_en.md new file mode 100644 index 0000000000000..12e744ed492b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_gravity0704_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gravity0704 DistilBertForSequenceClassification from gravity0704 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gravity0704 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gravity0704` is a English model originally trained by gravity0704. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gravity0704_en_5.2.2_3.0_1703966202953.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gravity0704_en_5.2.2_3.0_1703966202953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gravity0704","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gravity0704","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gravity0704| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gravity0704/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_guenterblaeser_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_guenterblaeser_en.md new file mode 100644 index 0000000000000..ed8379048cc43 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_guenterblaeser_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_guenterblaeser DistilBertForSequenceClassification from GuenterBlaeser +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_guenterblaeser +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_guenterblaeser` is a English model originally trained by GuenterBlaeser. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_guenterblaeser_en_5.2.2_3.0_1703965697715.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_guenterblaeser_en_5.2.2_3.0_1703965697715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_guenterblaeser","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_guenterblaeser","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_guenterblaeser| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GuenterBlaeser/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_haemi_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_haemi_en.md new file mode 100644 index 0000000000000..96f39ef454e92 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_haemi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_haemi DistilBertForSequenceClassification from Haemi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_haemi +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_haemi` is a English model originally trained by Haemi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haemi_en_5.2.2_3.0_1703916357552.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haemi_en_5.2.2_3.0_1703916357552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_haemi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_haemi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_haemi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Haemi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hassan6678_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hassan6678_en.md new file mode 100644 index 0000000000000..9526dcb14d83e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hassan6678_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hassan6678 DistilBertForSequenceClassification from Hassan6678 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hassan6678 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hassan6678` is a English model originally trained by Hassan6678. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hassan6678_en_5.2.2_3.0_1703970674409.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hassan6678_en_5.2.2_3.0_1703970674409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hassan6678","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hassan6678","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hassan6678| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hassan6678/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hrangi_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hrangi_en.md new file mode 100644 index 0000000000000..dfb2f044b02b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hrangi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hrangi DistilBertForSequenceClassification from hrangi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hrangi +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hrangi` is a English model originally trained by hrangi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hrangi_en_5.2.2_3.0_1703963851701.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hrangi_en_5.2.2_3.0_1703963851701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hrangi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hrangi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hrangi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hrangi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hsctim_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hsctim_en.md new file mode 100644 index 0000000000000..cbb5bf0bdfa5f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hsctim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hsctim DistilBertForSequenceClassification from hsctim +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hsctim +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hsctim` is a English model originally trained by hsctim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hsctim_en_5.2.2_3.0_1703898461534.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hsctim_en_5.2.2_3.0_1703898461534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hsctim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hsctim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hsctim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hsctim/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hwkang_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hwkang_en.md new file mode 100644 index 0000000000000..1d7cc5825b021 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hwkang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hwkang DistilBertForSequenceClassification from hwkang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hwkang +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hwkang` is a English model originally trained by hwkang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hwkang_en_5.2.2_3.0_1703965262714.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hwkang_en_5.2.2_3.0_1703965262714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hwkang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hwkang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hwkang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hwkang/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hyeonseo_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hyeonseo_en.md new file mode 100644 index 0000000000000..982b77e28ad38 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_hyeonseo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hyeonseo DistilBertForSequenceClassification from Hyeonseo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hyeonseo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hyeonseo` is a English model originally trained by Hyeonseo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyeonseo_en_5.2.2_3.0_1703910553672.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyeonseo_en_5.2.2_3.0_1703910553672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hyeonseo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hyeonseo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hyeonseo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hyeonseo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ifbot_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ifbot_en.md new file mode 100644 index 0000000000000..b93347f55bf99 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ifbot_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ifbot DistilBertForSequenceClassification from ifbot +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ifbot +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ifbot` is a English model originally trained by ifbot. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ifbot_en_5.2.2_3.0_1703964497615.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ifbot_en_5.2.2_3.0_1703964497615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ifbot","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ifbot","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ifbot| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ifbot/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_janico_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_janico_en.md new file mode 100644 index 0000000000000..fc87e66431fb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_janico_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_janico DistilBertForSequenceClassification from janico +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_janico +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_janico` is a English model originally trained by janico. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_janico_en_5.2.2_3.0_1703896921452.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_janico_en_5.2.2_3.0_1703896921452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_janico","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_janico","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_janico| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/janico/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jarguello76_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jarguello76_en.md new file mode 100644 index 0000000000000..66a04278f2aa7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jarguello76_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jarguello76 DistilBertForSequenceClassification from jarguello76 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jarguello76 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jarguello76` is a English model originally trained by jarguello76. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jarguello76_en_5.2.2_3.0_1703894989210.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jarguello76_en_5.2.2_3.0_1703894989210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jarguello76","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jarguello76","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jarguello76| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jarguello76/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jasanfa_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jasanfa_en.md new file mode 100644 index 0000000000000..3cf523308adb6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jasanfa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jasanfa DistilBertForSequenceClassification from jasanfa +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jasanfa +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jasanfa` is a English model originally trained by jasanfa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jasanfa_en_5.2.2_3.0_1703970091926.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jasanfa_en_5.2.2_3.0_1703970091926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jasanfa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jasanfa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jasanfa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jasanfa/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jingqiwu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jingqiwu_en.md new file mode 100644 index 0000000000000..f72b48594a5fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jingqiwu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jingqiwu DistilBertForSequenceClassification from JingqiWu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jingqiwu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jingqiwu` is a English model originally trained by JingqiWu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jingqiwu_en_5.2.2_3.0_1703914250843.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jingqiwu_en_5.2.2_3.0_1703914250843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jingqiwu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jingqiwu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jingqiwu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JingqiWu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jinho90_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jinho90_en.md new file mode 100644 index 0000000000000..f4dd322b37999 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jinho90_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jinho90 DistilBertForSequenceClassification from Jinho90 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jinho90 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jinho90` is a English model originally trained by Jinho90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jinho90_en_5.2.2_3.0_1703897912351.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jinho90_en_5.2.2_3.0_1703897912351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jinho90","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jinho90","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jinho90| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Jinho90/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis_en.md new file mode 100644 index 0000000000000..54f3df662f6f2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis DistilBertForSequenceClassification from jvbjkbjkbfjis +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis` is a English model originally trained by jvbjkbjkbfjis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis_en_5.2.2_3.0_1703935765445.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis_en_5.2.2_3.0_1703935765445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jvbjkbjkbfjis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jvbjkbjkbfjis/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kewe90210_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kewe90210_en.md new file mode 100644 index 0000000000000..2c70184160196 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kewe90210_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kewe90210 DistilBertForSequenceClassification from KeWE90210 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kewe90210 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kewe90210` is a English model originally trained by KeWE90210. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kewe90210_en_5.2.2_3.0_1703901810760.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kewe90210_en_5.2.2_3.0_1703901810760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kewe90210","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kewe90210","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kewe90210| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/KeWE90210/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kimbob_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kimbob_en.md new file mode 100644 index 0000000000000..bf92f46ef906e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kimbob_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kimbob DistilBertForSequenceClassification from kimbob +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kimbob +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kimbob` is a English model originally trained by kimbob. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimbob_en_5.2.2_3.0_1703894821535.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimbob_en_5.2.2_3.0_1703894821535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kimbob","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kimbob","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kimbob| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kimbob/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kongju7_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kongju7_en.md new file mode 100644 index 0000000000000..272f3b1bd872d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_kongju7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kongju7 DistilBertForSequenceClassification from kongju7 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kongju7 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kongju7` is a English model originally trained by kongju7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kongju7_en_5.2.2_3.0_1703897292261.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kongju7_en_5.2.2_3.0_1703897292261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kongju7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kongju7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kongju7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kongju7/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_leesa24_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_leesa24_en.md new file mode 100644 index 0000000000000..9572a5537841c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_leesa24_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_leesa24 DistilBertForSequenceClassification from leesa24 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_leesa24 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leesa24` is a English model originally trained by leesa24. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leesa24_en_5.2.2_3.0_1703904690803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leesa24_en_5.2.2_3.0_1703904690803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leesa24","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leesa24","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_leesa24| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leesa24/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_lht1107_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_lht1107_en.md new file mode 100644 index 0000000000000..51e10a0953173 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_lht1107_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lht1107 DistilBertForSequenceClassification from lht1107 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lht1107 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lht1107` is a English model originally trained by lht1107. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lht1107_en_5.2.2_3.0_1703935250012.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lht1107_en_5.2.2_3.0_1703935250012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lht1107","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lht1107","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lht1107| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lht1107/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_manishai_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_manishai_en.md new file mode 100644 index 0000000000000..4a7cf20abf86c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_manishai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_manishai DistilBertForSequenceClassification from manishai +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_manishai +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_manishai` is a English model originally trained by manishai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_manishai_en_5.2.2_3.0_1703934947919.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_manishai_en_5.2.2_3.0_1703934947919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_manishai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_manishai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_manishai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manishai/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_martomor_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_martomor_en.md new file mode 100644 index 0000000000000..4b9d75dd640b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_martomor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_martomor DistilBertForSequenceClassification from martomor +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_martomor +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_martomor` is a English model originally trained by martomor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_martomor_en_5.2.2_3.0_1703896921469.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_martomor_en_5.2.2_3.0_1703896921469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_martomor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_martomor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_martomor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/martomor/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_math1123_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_math1123_en.md new file mode 100644 index 0000000000000..c79307692d049 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_math1123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_math1123 DistilBertForSequenceClassification from Math1123 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_math1123 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_math1123` is a English model originally trained by Math1123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_math1123_en_5.2.2_3.0_1703899481561.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_math1123_en_5.2.2_3.0_1703899481561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_math1123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_math1123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_math1123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Math1123/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mathvivas_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mathvivas_en.md new file mode 100644 index 0000000000000..740c4f5a6b895 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mathvivas_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mathvivas DistilBertForSequenceClassification from Mathvivas +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mathvivas +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mathvivas` is a English model originally trained by Mathvivas. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mathvivas_en_5.2.2_3.0_1703935916054.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mathvivas_en_5.2.2_3.0_1703935916054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mathvivas","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mathvivas","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mathvivas| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mathvivas/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_matousp_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_matousp_en.md new file mode 100644 index 0000000000000..1412d93e9aa7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_matousp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_matousp DistilBertForSequenceClassification from matousp +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_matousp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_matousp` is a English model originally trained by matousp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matousp_en_5.2.2_3.0_1703978538214.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matousp_en_5.2.2_3.0_1703978538214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_matousp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_matousp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_matousp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/matousp/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_maxnet_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_maxnet_en.md new file mode 100644 index 0000000000000..5ba1f0cab3711 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_maxnet_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_maxnet DistilBertForSequenceClassification from Maxnet +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_maxnet +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maxnet` is a English model originally trained by Maxnet. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxnet_en_5.2.2_3.0_1703936207834.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxnet_en_5.2.2_3.0_1703936207834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maxnet","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maxnet","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_maxnet| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Maxnet/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mcparty2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mcparty2_en.md new file mode 100644 index 0000000000000..80a0ae07242bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mcparty2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mcparty2 DistilBertForSequenceClassification from mcparty2 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mcparty2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mcparty2` is a English model originally trained by mcparty2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mcparty2_en_5.2.2_3.0_1703975624351.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mcparty2_en_5.2.2_3.0_1703975624351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mcparty2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mcparty2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mcparty2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mcparty2/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mijoo_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mijoo_en.md new file mode 100644 index 0000000000000..8acb50495af23 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mijoo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mijoo DistilBertForSequenceClassification from mijoo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mijoo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mijoo` is a English model originally trained by mijoo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mijoo_en_5.2.2_3.0_1703901670390.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mijoo_en_5.2.2_3.0_1703901670390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mijoo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mijoo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mijoo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mijoo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mohamedae_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mohamedae_en.md new file mode 100644 index 0000000000000..a3677127ae67d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_mohamedae_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mohamedae DistilBertForSequenceClassification from MohamedAE +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mohamedae +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mohamedae` is a English model originally trained by MohamedAE. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mohamedae_en_5.2.2_3.0_1703934669033.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mohamedae_en_5.2.2_3.0_1703934669033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mohamedae","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mohamedae","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mohamedae| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MohamedAE/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ms_ut_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ms_ut_en.md new file mode 100644 index 0000000000000..802ff998b4712 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ms_ut_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ms_ut DistilBertForSequenceClassification from ms-UT +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ms_ut +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ms_ut` is a English model originally trained by ms-UT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms_ut_en_5.2.2_3.0_1703896136291.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms_ut_en_5.2.2_3.0_1703896136291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ms_ut","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ms_ut","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ms_ut| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ms-UT/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_msrisrujan_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_msrisrujan_en.md new file mode 100644 index 0000000000000..4033a0e14ea94 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_msrisrujan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_msrisrujan DistilBertForSequenceClassification from Msrisrujan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_msrisrujan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_msrisrujan` is a English model originally trained by Msrisrujan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_msrisrujan_en_5.2.2_3.0_1703970655481.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_msrisrujan_en_5.2.2_3.0_1703970655481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_msrisrujan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_msrisrujan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_msrisrujan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Msrisrujan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_naasirfar_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_naasirfar_en.md new file mode 100644 index 0000000000000..ae7dd8e3420b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_naasirfar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_naasirfar DistilBertForSequenceClassification from naasirfar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_naasirfar +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_naasirfar` is a English model originally trained by naasirfar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naasirfar_en_5.2.2_3.0_1703965133072.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naasirfar_en_5.2.2_3.0_1703965133072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_naasirfar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_naasirfar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_naasirfar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/naasirfar/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ne0chen_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ne0chen_en.md new file mode 100644 index 0000000000000..5d1873b452c84 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ne0chen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ne0chen DistilBertForSequenceClassification from ne0chen +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ne0chen +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ne0chen` is a English model originally trained by ne0chen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ne0chen_en_5.2.2_3.0_1703937146340.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ne0chen_en_5.2.2_3.0_1703937146340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ne0chen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ne0chen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ne0chen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ne0chen/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_nikhil2788_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_nikhil2788_en.md new file mode 100644 index 0000000000000..f8c72c50f7038 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_nikhil2788_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nikhil2788 DistilBertForSequenceClassification from Nikhil2788 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nikhil2788 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nikhil2788` is a English model originally trained by Nikhil2788. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nikhil2788_en_5.2.2_3.0_1703964782428.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nikhil2788_en_5.2.2_3.0_1703964782428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nikhil2788","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nikhil2788","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nikhil2788| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nikhil2788/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ninjajrk_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ninjajrk_en.md new file mode 100644 index 0000000000000..aff68c30f9992 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ninjajrk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ninjajrk DistilBertForSequenceClassification from ninjajrk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ninjajrk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ninjajrk` is a English model originally trained by ninjajrk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ninjajrk_en_5.2.2_3.0_1703915173009.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ninjajrk_en_5.2.2_3.0_1703915173009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ninjajrk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ninjajrk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ninjajrk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ninjajrk/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_njuptzzh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_njuptzzh_en.md new file mode 100644 index 0000000000000..b68cc8401b8ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_njuptzzh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_njuptzzh DistilBertForSequenceClassification from njuptzzh +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_njuptzzh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_njuptzzh` is a English model originally trained by njuptzzh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_njuptzzh_en_5.2.2_3.0_1703966043436.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_njuptzzh_en_5.2.2_3.0_1703966043436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_njuptzzh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_njuptzzh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_njuptzzh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/njuptzzh/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_opengl99_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_opengl99_en.md new file mode 100644 index 0000000000000..63d3471e99022 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_opengl99_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_opengl99 DistilBertForSequenceClassification from opengl99 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_opengl99 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_opengl99` is a English model originally trained by opengl99. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_opengl99_en_5.2.2_3.0_1703901844522.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_opengl99_en_5.2.2_3.0_1703901844522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_opengl99","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_opengl99","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_opengl99| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/opengl99/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_paoloant_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_paoloant_en.md new file mode 100644 index 0000000000000..484a363766c8a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_paoloant_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_paoloant DistilBertForSequenceClassification from Paoloant +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_paoloant +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_paoloant` is a English model originally trained by Paoloant. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_paoloant_en_5.2.2_3.0_1703894800616.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_paoloant_en_5.2.2_3.0_1703894800616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_paoloant","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_paoloant","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_paoloant| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Paoloant/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_passionman_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_passionman_en.md new file mode 100644 index 0000000000000..3bf4100c4c48e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_passionman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_passionman DistilBertForSequenceClassification from passionMan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_passionman +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_passionman` is a English model originally trained by passionMan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_passionman_en_5.2.2_3.0_1703966696097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_passionman_en_5.2.2_3.0_1703966696097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_passionman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_passionman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_passionman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/passionMan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pavithrav_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pavithrav_en.md new file mode 100644 index 0000000000000..47118d43258f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pavithrav_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_pavithrav DistilBertForSequenceClassification from pavithrav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_pavithrav +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pavithrav` is a English model originally trained by pavithrav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pavithrav_en_5.2.2_3.0_1703938833596.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pavithrav_en_5.2.2_3.0_1703938833596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pavithrav","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pavithrav","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_pavithrav| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pdomegan_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pdomegan_en.md new file mode 100644 index 0000000000000..87709b4a0a586 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pdomegan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_pdomegan DistilBertForSequenceClassification from pdomegan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_pdomegan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pdomegan` is a English model originally trained by pdomegan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pdomegan_en_5.2.2_3.0_1703938780794.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pdomegan_en_5.2.2_3.0_1703938780794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pdomegan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pdomegan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_pdomegan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pdomegan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pinkrobot_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pinkrobot_en.md new file mode 100644 index 0000000000000..b67508ade5b83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_pinkrobot_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_pinkrobot DistilBertForSequenceClassification from pinkrobot +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_pinkrobot +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pinkrobot` is a English model originally trained by pinkrobot. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pinkrobot_en_5.2.2_3.0_1703941843192.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pinkrobot_en_5.2.2_3.0_1703941843192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pinkrobot","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pinkrobot","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_pinkrobot| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pinkrobot/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_plowcow_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_plowcow_en.md new file mode 100644 index 0000000000000..bad49f6e0ee68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_plowcow_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_plowcow DistilBertForSequenceClassification from plowcow +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_plowcow +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_plowcow` is a English model originally trained by plowcow. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_plowcow_en_5.2.2_3.0_1703896744622.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_plowcow_en_5.2.2_3.0_1703896744622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_plowcow","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_plowcow","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_plowcow| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/plowcow/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_provezano_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_provezano_en.md new file mode 100644 index 0000000000000..3ebb1140bd934 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_provezano_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_provezano DistilBertForSequenceClassification from provezano +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_provezano +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_provezano` is a English model originally trained by provezano. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_provezano_en_5.2.2_3.0_1703916628219.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_provezano_en_5.2.2_3.0_1703916628219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_provezano","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_provezano","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_provezano| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/provezano/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_prudhvip21_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_prudhvip21_en.md new file mode 100644 index 0000000000000..d2ae03599c640 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_prudhvip21_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_prudhvip21 DistilBertForSequenceClassification from prudhvip21 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_prudhvip21 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_prudhvip21` is a English model originally trained by prudhvip21. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_prudhvip21_en_5.2.2_3.0_1703898325434.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_prudhvip21_en_5.2.2_3.0_1703898325434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_prudhvip21","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_prudhvip21","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_prudhvip21| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/prudhvip21/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ps0_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ps0_en.md new file mode 100644 index 0000000000000..fc65ea7434851 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ps0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ps0 DistilBertForSequenceClassification from ps0 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ps0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ps0` is a English model originally trained by ps0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ps0_en_5.2.2_3.0_1703936212819.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ps0_en_5.2.2_3.0_1703936212819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ps0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ps0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ps0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ps0/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_r4ghu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_r4ghu_en.md new file mode 100644 index 0000000000000..b2eb43c44d707 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_r4ghu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_r4ghu DistilBertForSequenceClassification from r4ghu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_r4ghu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_r4ghu` is a English model originally trained by r4ghu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r4ghu_en_5.2.2_3.0_1703897581639.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r4ghu_en_5.2.2_3.0_1703897581639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_r4ghu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_r4ghu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_r4ghu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/r4ghu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rajeshb2029_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rajeshb2029_en.md new file mode 100644 index 0000000000000..7ee5e81a71087 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rajeshb2029_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rajeshb2029 DistilBertForSequenceClassification from rajeshb2029 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rajeshb2029 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rajeshb2029` is a English model originally trained by rajeshb2029. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajeshb2029_en_5.2.2_3.0_1703964949611.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rajeshb2029_en_5.2.2_3.0_1703964949611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajeshb2029","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rajeshb2029","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rajeshb2029| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rajeshb2029/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_remoitnane_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_remoitnane_en.md new file mode 100644 index 0000000000000..6c36f0b675fa8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_remoitnane_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_remoitnane DistilBertForSequenceClassification from Remoitnane +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_remoitnane +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_remoitnane` is a English model originally trained by Remoitnane. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_remoitnane_en_5.2.2_3.0_1703895162876.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_remoitnane_en_5.2.2_3.0_1703895162876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_remoitnane","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_remoitnane","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_remoitnane| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Remoitnane/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rlewczuk_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rlewczuk_en.md new file mode 100644 index 0000000000000..a7e676d991a1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_rlewczuk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rlewczuk DistilBertForSequenceClassification from rlewczuk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rlewczuk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rlewczuk` is a English model originally trained by rlewczuk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rlewczuk_en_5.2.2_3.0_1703900289708.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rlewczuk_en_5.2.2_3.0_1703900289708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rlewczuk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rlewczuk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rlewczuk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rlewczuk/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ryankoo_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ryankoo_en.md new file mode 100644 index 0000000000000..17a30b3094b4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ryankoo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ryankoo DistilBertForSequenceClassification from ryankoo +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ryankoo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ryankoo` is a English model originally trained by ryankoo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryankoo_en_5.2.2_3.0_1703898472634.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryankoo_en_5.2.2_3.0_1703898472634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryankoo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryankoo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ryankoo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ryankoo/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1_en.md new file mode 100644 index 0000000000000..fcedccdd0e290 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1 DistilBertForSequenceClassification from Sa6a +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1` is a English model originally trained by Sa6a. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1_en_5.2.2_3.0_1703897053166.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1_en_5.2.2_3.0_1703897053166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sa6a_v0_0_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sa6a/distilbert-base-uncased-finetuned-emotion-sa6a-v0.0.1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sarthak7777_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sarthak7777_en.md new file mode 100644 index 0000000000000..b84f07307d2e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sarthak7777_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sarthak7777 DistilBertForSequenceClassification from Sarthak7777 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sarthak7777 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sarthak7777` is a English model originally trained by Sarthak7777. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarthak7777_en_5.2.2_3.0_1703941124345.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarthak7777_en_5.2.2_3.0_1703941124345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sarthak7777","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sarthak7777","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sarthak7777| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sarthak7777/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_satossy_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_satossy_en.md new file mode 100644 index 0000000000000..9aa203f41fac6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_satossy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_satossy DistilBertForSequenceClassification from satossy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_satossy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_satossy` is a English model originally trained by satossy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_satossy_en_5.2.2_3.0_1703975622782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_satossy_en_5.2.2_3.0_1703975622782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_satossy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_satossy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_satossy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/satossy/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shauryatripathi_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shauryatripathi_en.md new file mode 100644 index 0000000000000..7dff67b0c3cd1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shauryatripathi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shauryatripathi DistilBertForSequenceClassification from shauryatripathi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shauryatripathi +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shauryatripathi` is a English model originally trained by shauryatripathi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shauryatripathi_en_5.2.2_3.0_1703973981651.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shauryatripathi_en_5.2.2_3.0_1703973981651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shauryatripathi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shauryatripathi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shauryatripathi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shauryatripathi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shimwoohyeon_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shimwoohyeon_en.md new file mode 100644 index 0000000000000..d5e648abe347c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_shimwoohyeon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_shimwoohyeon DistilBertForSequenceClassification from shimwoohyeon +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_shimwoohyeon +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shimwoohyeon` is a English model originally trained by shimwoohyeon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shimwoohyeon_en_5.2.2_3.0_1703906933996.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shimwoohyeon_en_5.2.2_3.0_1703906933996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shimwoohyeon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_shimwoohyeon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_shimwoohyeon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shimwoohyeon/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sidharthsinghq_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sidharthsinghq_en.md new file mode 100644 index 0000000000000..dd30748fb31fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_sidharthsinghq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sidharthsinghq DistilBertForSequenceClassification from sidharthsinghQ +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sidharthsinghq +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sidharthsinghq` is a English model originally trained by sidharthsinghQ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sidharthsinghq_en_5.2.2_3.0_1703897924688.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sidharthsinghq_en_5.2.2_3.0_1703897924688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sidharthsinghq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sidharthsinghq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sidharthsinghq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sidharthsinghQ/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_stepping1st_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_stepping1st_en.md new file mode 100644 index 0000000000000..9a1cb987687bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_stepping1st_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_stepping1st DistilBertForSequenceClassification from stepping1st +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_stepping1st +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_stepping1st` is a English model originally trained by stepping1st. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_stepping1st_en_5.2.2_3.0_1703901420687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_stepping1st_en_5.2.2_3.0_1703901420687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_stepping1st","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_stepping1st","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_stepping1st| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/stepping1st/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_super_pupu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_super_pupu_en.md new file mode 100644 index 0000000000000..4e68f1f844b93 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_super_pupu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_super_pupu DistilBertForSequenceClassification from super-pupu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_super_pupu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_super_pupu` is a English model originally trained by super-pupu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_super_pupu_en_5.2.2_3.0_1703964269164.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_super_pupu_en_5.2.2_3.0_1703964269164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_super_pupu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_super_pupu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_super_pupu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/super-pupu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_syjflora_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_syjflora_en.md new file mode 100644 index 0000000000000..15d2cf8f00fbf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_syjflora_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_syjflora DistilBertForSequenceClassification from syjflora +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_syjflora +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_syjflora` is a English model originally trained by syjflora. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_syjflora_en_5.2.2_3.0_1703908531607.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_syjflora_en_5.2.2_3.0_1703908531607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_syjflora","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_syjflora","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_syjflora| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/syjflora/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tarti_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tarti_en.md new file mode 100644 index 0000000000000..2c2887602f05c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tarti_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tarti DistilBertForSequenceClassification from Tarti +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tarti +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tarti` is a English model originally trained by Tarti. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tarti_en_5.2.2_3.0_1703968915659.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tarti_en_5.2.2_3.0_1703968915659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tarti","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tarti","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tarti| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tarti/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_thaint_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_thaint_en.md new file mode 100644 index 0000000000000..a30f166eff9d5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_thaint_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_thaint DistilBertForSequenceClassification from thaint +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_thaint +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thaint` is a English model originally trained by thaint. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thaint_en_5.2.2_3.0_1703977234792.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thaint_en_5.2.2_3.0_1703977234792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thaint","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_thaint","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_thaint| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thaint/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tinysuitstarfish_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tinysuitstarfish_en.md new file mode 100644 index 0000000000000..2b22dd40c25bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tinysuitstarfish_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tinysuitstarfish DistilBertForSequenceClassification from TinySuitStarfish +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tinysuitstarfish +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tinysuitstarfish` is a English model originally trained by TinySuitStarfish. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tinysuitstarfish_en_5.2.2_3.0_1703898743480.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tinysuitstarfish_en_5.2.2_3.0_1703898743480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tinysuitstarfish","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tinysuitstarfish","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tinysuitstarfish| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TinySuitStarfish/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_txt22_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_txt22_en.md new file mode 100644 index 0000000000000..c5c27f741f838 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_txt22_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_txt22 DistilBertForSequenceClassification from txt22 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_txt22 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_txt22` is a English model originally trained by txt22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_txt22_en_5.2.2_3.0_1703933510887.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_txt22_en_5.2.2_3.0_1703933510887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_txt22","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_txt22","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_txt22| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/txt22/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tyayoi_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tyayoi_en.md new file mode 100644 index 0000000000000..12e8666450582 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_tyayoi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tyayoi DistilBertForSequenceClassification from tyayoi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tyayoi +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tyayoi` is a English model originally trained by tyayoi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tyayoi_en_5.2.2_3.0_1703947271949.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tyayoi_en_5.2.2_3.0_1703947271949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tyayoi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tyayoi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tyayoi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tyayoi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_valepert_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_valepert_en.md new file mode 100644 index 0000000000000..63348c1ff9c15 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_valepert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_valepert DistilBertForSequenceClassification from valepert +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_valepert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_valepert` is a English model originally trained by valepert. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_valepert_en_5.2.2_3.0_1703895461294.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_valepert_en_5.2.2_3.0_1703895461294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_valepert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_valepert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_valepert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/valepert/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_waiwai256_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_waiwai256_en.md new file mode 100644 index 0000000000000..835a82bd0a541 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_waiwai256_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_waiwai256 DistilBertForSequenceClassification from waiwai256 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_waiwai256 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_waiwai256` is a English model originally trained by waiwai256. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waiwai256_en_5.2.2_3.0_1703935094217.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waiwai256_en_5.2.2_3.0_1703935094217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waiwai256","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_waiwai256","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_waiwai256| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/waiwai256/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wildgrape14_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wildgrape14_en.md new file mode 100644 index 0000000000000..ea284e03336d2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wildgrape14_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wildgrape14 DistilBertForSequenceClassification from wildgrape14 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wildgrape14 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wildgrape14` is a English model originally trained by wildgrape14. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wildgrape14_en_5.2.2_3.0_1703903859841.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wildgrape14_en_5.2.2_3.0_1703903859841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wildgrape14","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wildgrape14","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wildgrape14| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wildgrape14/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wonkyoc_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wonkyoc_en.md new file mode 100644 index 0000000000000..e559ea80623bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_wonkyoc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wonkyoc DistilBertForSequenceClassification from wonkyoc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wonkyoc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wonkyoc` is a English model originally trained by wonkyoc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wonkyoc_en_5.2.2_3.0_1703968926897.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wonkyoc_en_5.2.2_3.0_1703968926897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wonkyoc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wonkyoc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wonkyoc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wonkyoc/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_worklai33_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_worklai33_en.md new file mode 100644 index 0000000000000..36a5be2093a5c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_worklai33_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_worklai33 DistilBertForSequenceClassification from worklai33 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_worklai33 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_worklai33` is a English model originally trained by worklai33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_worklai33_en_5.2.2_3.0_1703952573348.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_worklai33_en_5.2.2_3.0_1703952573348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_worklai33","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_worklai33","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_worklai33| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/worklai33/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yayachop_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yayachop_en.md new file mode 100644 index 0000000000000..387cfc7042168 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yayachop_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yayachop DistilBertForSequenceClassification from yayachop +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yayachop +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yayachop` is a English model originally trained by yayachop. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yayachop_en_5.2.2_3.0_1703964085511.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yayachop_en_5.2.2_3.0_1703964085511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yayachop","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yayachop","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yayachop| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yayachop/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ydh0120_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ydh0120_en.md new file mode 100644 index 0000000000000..abe7b1564137c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_ydh0120_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ydh0120 DistilBertForSequenceClassification from ydh0120 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ydh0120 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ydh0120` is a English model originally trained by ydh0120. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ydh0120_en_5.2.2_3.0_1703900104215.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ydh0120_en_5.2.2_3.0_1703900104215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ydh0120","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ydh0120","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ydh0120| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ydh0120/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yeetables_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yeetables_en.md new file mode 100644 index 0000000000000..bf9d990129780 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yeetables_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yeetables DistilBertForSequenceClassification from Yeetables +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yeetables +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yeetables` is a English model originally trained by Yeetables. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yeetables_en_5.2.2_3.0_1703945813215.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yeetables_en_5.2.2_3.0_1703945813215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yeetables","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yeetables","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yeetables| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yeetables/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yjkang49_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yjkang49_en.md new file mode 100644 index 0000000000000..4dfd0ab97dbb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yjkang49_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yjkang49 DistilBertForSequenceClassification from yjkang49 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yjkang49 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yjkang49` is a English model originally trained by yjkang49. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yjkang49_en_5.2.2_3.0_1703946258175.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yjkang49_en_5.2.2_3.0_1703946258175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yjkang49","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yjkang49","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yjkang49| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yjkang49/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongseok_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongseok_en.md new file mode 100644 index 0000000000000..0b7ef1bbe3eff --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongseok_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yongseok DistilBertForSequenceClassification from Yongseok +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yongseok +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yongseok` is a English model originally trained by Yongseok. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yongseok_en_5.2.2_3.0_1703897758347.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yongseok_en_5.2.2_3.0_1703897758347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yongseok","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yongseok","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yongseok| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yongseok/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongwoohuh_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongwoohuh_en.md new file mode 100644 index 0000000000000..54da6ca864137 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yongwoohuh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yongwoohuh DistilBertForSequenceClassification from YONGWOOHUH +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yongwoohuh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yongwoohuh` is a English model originally trained by YONGWOOHUH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yongwoohuh_en_5.2.2_3.0_1703901499834.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yongwoohuh_en_5.2.2_3.0_1703901499834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yongwoohuh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yongwoohuh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yongwoohuh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/YONGWOOHUH/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yoonlee_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yoonlee_en.md new file mode 100644 index 0000000000000..14f4023143e5e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yoonlee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yoonlee DistilBertForSequenceClassification from yoonlee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yoonlee +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yoonlee` is a English model originally trained by yoonlee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yoonlee_en_5.2.2_3.0_1703898901779.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yoonlee_en_5.2.2_3.0_1703898901779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yoonlee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yoonlee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yoonlee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yoonlee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yw3790_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yw3790_en.md new file mode 100644 index 0000000000000..21813f6ac26fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_yw3790_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yw3790 DistilBertForSequenceClassification from yw3790 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yw3790 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yw3790` is a English model originally trained by yw3790. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yw3790_en_5.2.2_3.0_1703898910504.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yw3790_en_5.2.2_3.0_1703898910504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yw3790","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yw3790","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yw3790| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yw3790/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zehralx_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zehralx_en.md new file mode 100644 index 0000000000000..f1336dd50aee4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zehralx_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_zehralx DistilBertForSequenceClassification from zehralx +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_zehralx +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zehralx` is a English model originally trained by zehralx. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zehralx_en_5.2.2_3.0_1703899357182.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zehralx_en_5.2.2_3.0_1703899357182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zehralx","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zehralx","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_zehralx| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zehralx/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhengzdxb_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhengzdxb_en.md new file mode 100644 index 0000000000000..c6a368386159b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhengzdxb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_zhengzdxb DistilBertForSequenceClassification from zhengzdxb +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_zhengzdxb +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zhengzdxb` is a English model originally trained by zhengzdxb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhengzdxb_en_5.2.2_3.0_1703910810418.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhengzdxb_en_5.2.2_3.0_1703910810418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhengzdxb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhengzdxb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_zhengzdxb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zhengzdxb/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhou_hangxu_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhou_hangxu_en.md new file mode 100644 index 0000000000000..fa0993feb37da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotion_zhou_hangxu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_zhou_hangxu DistilBertForSequenceClassification from Zhou-Hangxu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_zhou_hangxu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zhou_hangxu` is a English model originally trained by Zhou-Hangxu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhou_hangxu_en_5.2.2_3.0_1703974697450.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhou_hangxu_en_5.2.2_3.0_1703974697450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhou_hangxu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhou_hangxu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_zhou_hangxu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zhou-Hangxu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_3th_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_3th_en.md new file mode 100644 index 0000000000000..fb463bccaf4cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_3th_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_3th DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_3th +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_3th` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_3th_en_5.2.2_3.0_1703897031749.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_3th_en_5.2.2_3.0_1703897031749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_3th","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_3th","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_3th| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/distilbert-base-uncased-finetuned-emotions-3th \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_dataset_en.md new file mode 100644 index 0000000000000..00cb21860b9ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_dataset DistilBertForSequenceClassification from dasaprakashk +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_dataset +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_dataset` is a English model originally trained by dasaprakashk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_dataset_en_5.2.2_3.0_1703899653594.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_dataset_en_5.2.2_3.0_1703899653594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dasaprakashk/distilbert-base-uncased-finetuned-emotions-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_parazite410_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_parazite410_en.md new file mode 100644 index 0000000000000..1f1752ccf66fb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_emotions_parazite410_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotions_parazite410 DistilBertForSequenceClassification from paraZite410 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotions_parazite410 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_parazite410` is a English model originally trained by paraZite410. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_parazite410_en_5.2.2_3.0_1703972850106.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_parazite410_en_5.2.2_3.0_1703972850106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_parazite410","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotions_parazite410","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotions_parazite410| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/paraZite410/distilbert-base-uncased-finetuned-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_items_two_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_items_two_en.md new file mode 100644 index 0000000000000..b31e331d09e72 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_items_two_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_items_two DistilBertForSequenceClassification from chernandezc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_items_two +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_items_two` is a English model originally trained by chernandezc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_two_en_5.2.2_3.0_1703938716898.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_two_en_5.2.2_3.0_1703938716898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_two","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_two","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_items_two| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chernandezc/distilbert-base-uncased-finetuned-items-two \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_kagglesentiment_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_kagglesentiment_en.md new file mode 100644 index 0000000000000..e28dc19febbdb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_kagglesentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_kagglesentiment DistilBertForSequenceClassification from calcifer2023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_kagglesentiment +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_kagglesentiment` is a English model originally trained by calcifer2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_kagglesentiment_en_5.2.2_3.0_1703897637152.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_kagglesentiment_en_5.2.2_3.0_1703897637152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_kagglesentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_kagglesentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_kagglesentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/calcifer2023/distilbert-base-uncased-finetuned-kagglesentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_mauzario_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_mauzario_en.md new file mode 100644 index 0000000000000..4d853a409871d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_mauzario_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mauzario DistilBertForSequenceClassification from mauzario +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mauzario +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mauzario` is a English model originally trained by mauzario. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mauzario_en_5.2.2_3.0_1703912215273.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mauzario_en_5.2.2_3.0_1703912215273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mauzario","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mauzario","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mauzario| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|248.5 MB| + +## References + +https://huggingface.co/mauzario/distilbert-base-uncased-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_movie_genre_shivi_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_movie_genre_shivi_en.md new file mode 100644 index 0000000000000..7b0217c552d38 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_movie_genre_shivi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_movie_genre_shivi DistilBertForSequenceClassification from shivi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_movie_genre_shivi +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_movie_genre_shivi` is a English model originally trained by shivi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_movie_genre_shivi_en_5.2.2_3.0_1703909478097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_movie_genre_shivi_en_5.2.2_3.0_1703909478097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_movie_genre_shivi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_movie_genre_shivi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_movie_genre_shivi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/shivi/distilbert-base-uncased-finetuned-movie-genre \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_ownvoy_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_ownvoy_en.md new file mode 100644 index 0000000000000..7b740fa66c8c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_ownvoy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_ownvoy DistilBertForSequenceClassification from ownvoy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_ownvoy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ownvoy` is a English model originally trained by ownvoy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ownvoy_en_5.2.2_3.0_1703966205726.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ownvoy_en_5.2.2_3.0_1703966205726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_ownvoy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_ownvoy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_ownvoy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ownvoy/distilbert-base-uncased-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_rte_vineetttt_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_rte_vineetttt_en.md new file mode 100644 index 0000000000000..0c2b575484e27 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_rte_vineetttt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_rte_vineetttt DistilBertForSequenceClassification from Vineetttt +author: John Snow Labs +name: distilbert_base_uncased_finetuned_rte_vineetttt +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_rte_vineetttt` is a English model originally trained by Vineetttt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_vineetttt_en_5.2.2_3.0_1703965153612.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_vineetttt_en_5.2.2_3.0_1703965153612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_rte_vineetttt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_rte_vineetttt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_rte_vineetttt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Vineetttt/distilbert-base-uncased-finetuned-rte \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_sent_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_sent_analysis_en.md new file mode 100644 index 0000000000000..bde9a6e10e208 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_sent_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sent_analysis DistilBertForSequenceClassification from ajay-y +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sent_analysis +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sent_analysis` is a English model originally trained by ajay-y. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sent_analysis_en_5.2.2_3.0_1703966778770.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sent_analysis_en_5.2.2_3.0_1703966778770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sent_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sent_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sent_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ajay-y/distilbert-base-uncased-finetuned-sent_analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_stsb_keikofujii_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_stsb_keikofujii_en.md new file mode 100644 index 0000000000000..4d3b63f9a475b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_stsb_keikofujii_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_stsb_keikofujii DistilBertForSequenceClassification from keikofujii +author: John Snow Labs +name: distilbert_base_uncased_finetuned_stsb_keikofujii +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stsb_keikofujii` is a English model originally trained by keikofujii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_keikofujii_en_5.2.2_3.0_1703901425162.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_keikofujii_en_5.2.2_3.0_1703901425162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_keikofujii","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_keikofujii","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_stsb_keikofujii| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/keikofujii/distilbert-base-uncased-finetuned-stsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tass_finetuned_tass_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tass_finetuned_tass_en.md new file mode 100644 index 0000000000000..45ec9b68ff3cf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tass_finetuned_tass_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_tass_finetuned_tass DistilBertForSequenceClassification from helenpy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_tass_finetuned_tass +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tass_finetuned_tass` is a English model originally trained by helenpy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tass_finetuned_tass_en_5.2.2_3.0_1703964949462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tass_finetuned_tass_en_5.2.2_3.0_1703964949462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tass_finetuned_tass","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tass_finetuned_tass","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_tass_finetuned_tass| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/helenpy/distilbert-base-uncased-finetuned-tass-finetuned-tass \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_test_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_test_en.md new file mode 100644 index 0000000000000..0ec1de99b80ba --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_test DistilBertForSequenceClassification from cwchang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_test +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_test` is a English model originally trained by cwchang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_test_en_5.2.2_3.0_1703914091278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_test_en_5.2.2_3.0_1703914091278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/cwchang/distilbert-base-uncased-finetuned-test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tweetemotion_test_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tweetemotion_test_en.md new file mode 100644 index 0000000000000..7c19904722ea2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_finetuned_tweetemotion_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_tweetemotion_test DistilBertForSequenceClassification from rmurali2023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_tweetemotion_test +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tweetemotion_test` is a English model originally trained by rmurali2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweetemotion_test_en_5.2.2_3.0_1703951867852.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweetemotion_test_en_5.2.2_3.0_1703951867852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tweetemotion_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tweetemotion_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_tweetemotion_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rmurali2023/distilbert-base-uncased-finetuned-tweetemotion-test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_fintuned_clinc_shri_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_fintuned_clinc_shri_en.md new file mode 100644 index 0000000000000..af429f91dda8d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_fintuned_clinc_shri_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fintuned_clinc_shri DistilBertForSequenceClassification from shri07 +author: John Snow Labs +name: distilbert_base_uncased_fintuned_clinc_shri +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fintuned_clinc_shri` is a English model originally trained by shri07. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_clinc_shri_en_5.2.2_3.0_1703951231687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_clinc_shri_en_5.2.2_3.0_1703951231687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fintuned_clinc_shri","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fintuned_clinc_shri","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fintuned_clinc_shri| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/shri07/distilbert-base-uncased-fintuned-clinc-shri \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md new file mode 100644 index 0000000000000..0d8e67c4bc1ba --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05` is a English model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en_5.2.2_3.0_1703965431351.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en_5.2.2_3.0_1703965431351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hate_offensive_normal_speech_lr_2e_05| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-uncased-hate-offensive-normal-speech-lr-2e-05 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hatexplain_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hatexplain_en.md new file mode 100644 index 0000000000000..cd3b9122ca04e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hatexplain_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hatexplain DistilBertForSequenceClassification from Kanit +author: John Snow Labs +name: distilbert_base_uncased_hatexplain +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hatexplain` is a English model originally trained by Kanit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hatexplain_en_5.2.2_3.0_1703940438188.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hatexplain_en_5.2.2_3.0_1703940438188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hatexplain","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hatexplain","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hatexplain| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Kanit/distilbert-base-uncased-hateXplain \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hoax_classifier_oversampled_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hoax_classifier_oversampled_en.md new file mode 100644 index 0000000000000..89d2b05df19a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_hoax_classifier_oversampled_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hoax_classifier_oversampled DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_uncased_hoax_classifier_oversampled +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hoax_classifier_oversampled` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_oversampled_en_5.2.2_3.0_1703920444535.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_oversampled_en_5.2.2_3.0_1703920444535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_oversampled","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_oversampled","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hoax_classifier_oversampled| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/research-dump/distilbert-base-uncased_hoax_classifier_oversampled \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_imdb_spneshaei_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_imdb_spneshaei_en.md new file mode 100644 index 0000000000000..a562399b51bf9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_imdb_spneshaei_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_imdb_spneshaei DistilBertForSequenceClassification from spneshaei +author: John Snow Labs +name: distilbert_base_uncased_imdb_spneshaei +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_spneshaei` is a English model originally trained by spneshaei. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_spneshaei_en_5.2.2_3.0_1703907006718.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_spneshaei_en_5.2.2_3.0_1703907006718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imdb_spneshaei","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_imdb_spneshaei","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_imdb_spneshaei| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/spneshaei/distilbert-base-uncased-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_redditdata_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_redditdata_fine_tuned_en.md new file mode 100644 index 0000000000000..9a7fd36b932bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncased_redditdata_fine_tuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_redditdata_fine_tuned DistilBertForSequenceClassification from Weikang01 +author: John Snow Labs +name: distilbert_base_uncased_redditdata_fine_tuned +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_redditdata_fine_tuned` is a English model originally trained by Weikang01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_redditdata_fine_tuned_en_5.2.2_3.0_1703966049047.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_redditdata_fine_tuned_en_5.2.2_3.0_1703966049047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_redditdata_fine_tuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_redditdata_fine_tuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_redditdata_fine_tuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Weikang01/distilbert-base-uncased-RedditData-fine-tuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncasedfinetuned_clinc_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncasedfinetuned_clinc_en.md new file mode 100644 index 0000000000000..eb080fcc6bb37 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_base_uncasedfinetuned_clinc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncasedfinetuned_clinc DistilBertForSequenceClassification from JpChi +author: John Snow Labs +name: distilbert_base_uncasedfinetuned_clinc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncasedfinetuned_clinc` is a English model originally trained by JpChi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedfinetuned_clinc_en_5.2.2_3.0_1703901234011.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedfinetuned_clinc_en_5.2.2_3.0_1703901234011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncasedfinetuned_clinc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncasedfinetuned_clinc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncasedfinetuned_clinc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/JpChi/distilbert-base-uncasedfinetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_cased_topic_title_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_cased_topic_title_classification_en.md new file mode 100644 index 0000000000000..4d38acd5dfbb3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_cased_topic_title_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_cased_topic_title_classification DistilBertForSequenceClassification from Eitanli +author: John Snow Labs +name: distilbert_cased_topic_title_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cased_topic_title_classification` is a English model originally trained by Eitanli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cased_topic_title_classification_en_5.2.2_3.0_1703897922107.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cased_topic_title_classification_en_5.2.2_3.0_1703897922107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_cased_topic_title_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_cased_topic_title_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_cased_topic_title_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Eitanli/distilbert-cased-topic-title-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_amudgal21_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_amudgal21_en.md new file mode 100644 index 0000000000000..e4a4d3bfed0e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_amudgal21_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotion_amudgal21 DistilBertForSequenceClassification from amudgal21 +author: John Snow Labs +name: distilbert_emotion_amudgal21 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_amudgal21` is a English model originally trained by amudgal21. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_amudgal21_en_5.2.2_3.0_1703936335904.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_amudgal21_en_5.2.2_3.0_1703936335904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_amudgal21","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_amudgal21","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotion_amudgal21| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amudgal21/distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_apheironn_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_apheironn_en.md new file mode 100644 index 0000000000000..732e0ba79bb00 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_apheironn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotion_apheironn DistilBertForSequenceClassification from Apheironn +author: John Snow Labs +name: distilbert_emotion_apheironn +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_apheironn` is a English model originally trained by Apheironn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_apheironn_en_5.2.2_3.0_1703946961494.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_apheironn_en_5.2.2_3.0_1703946961494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_apheironn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_apheironn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotion_apheironn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Apheironn/distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_khanhpd2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_khanhpd2_en.md new file mode 100644 index 0000000000000..65ca2ef9718ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_khanhpd2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotion_khanhpd2 DistilBertForSequenceClassification from khanhpd2 +author: John Snow Labs +name: distilbert_emotion_khanhpd2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_khanhpd2` is a English model originally trained by khanhpd2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_khanhpd2_en_5.2.2_3.0_1703898062062.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_khanhpd2_en_5.2.2_3.0_1703898062062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_khanhpd2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_khanhpd2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotion_khanhpd2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/khanhpd2/distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_saraswathii_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_saraswathii_en.md new file mode 100644 index 0000000000000..f612214eecf5b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotion_saraswathii_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotion_saraswathii DistilBertForSequenceClassification from saraswathii +author: John Snow Labs +name: distilbert_emotion_saraswathii +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_saraswathii` is a English model originally trained by saraswathii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_saraswathii_en_5.2.2_3.0_1703967578151.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_saraswathii_en_5.2.2_3.0_1703967578151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_saraswathii","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_saraswathii","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotion_saraswathii| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/saraswathii/distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotionv2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotionv2_en.md new file mode 100644 index 0000000000000..a66974b22554d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_emotionv2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotionv2 DistilBertForSequenceClassification from khanhpd2 +author: John Snow Labs +name: distilbert_emotionv2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotionv2` is a English model originally trained by khanhpd2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotionv2_en_5.2.2_3.0_1703934570327.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotionv2_en_5.2.2_3.0_1703934570327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotionv2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotionv2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotionv2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/khanhpd2/distilBERT-emotionv2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_10_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_10_en.md new file mode 100644 index 0000000000000..9b08ffe1c241f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuning_unhealthyconv_dropout005_epochs_10 DistilBertForSequenceClassification from dgalik +author: John Snow Labs +name: distilbert_finetuning_unhealthyconv_dropout005_epochs_10 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuning_unhealthyconv_dropout005_epochs_10` is a English model originally trained by dgalik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_10_en_5.2.2_3.0_1703911928208.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_10_en_5.2.2_3.0_1703911928208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuning_unhealthyconv_dropout005_epochs_10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.9 MB| + +## References + +https://huggingface.co/dgalik/distilbert-finetuning-unhealthyConv-dropout005-epochs-10 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_1_en.md new file mode 100644 index 0000000000000..07ea6b208a61e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuning_unhealthyconv_dropout005_epochs_1 DistilBertForSequenceClassification from dgalik +author: John Snow Labs +name: distilbert_finetuning_unhealthyconv_dropout005_epochs_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuning_unhealthyconv_dropout005_epochs_1` is a English model originally trained by dgalik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_1_en_5.2.2_3.0_1703965704709.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_1_en_5.2.2_3.0_1703965704709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuning_unhealthyconv_dropout005_epochs_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.9 MB| + +## References + +https://huggingface.co/dgalik/distilbert-finetuning-unhealthyConv-dropout005-epochs-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_20_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_20_en.md new file mode 100644 index 0000000000000..965c2d50a77b9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_finetuning_unhealthyconv_dropout005_epochs_20_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuning_unhealthyconv_dropout005_epochs_20 DistilBertForSequenceClassification from dgalik +author: John Snow Labs +name: distilbert_finetuning_unhealthyconv_dropout005_epochs_20 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuning_unhealthyconv_dropout005_epochs_20` is a English model originally trained by dgalik. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_20_en_5.2.2_3.0_1703901776248.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_unhealthyconv_dropout005_epochs_20_en_5.2.2_3.0_1703901776248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_20","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuning_unhealthyconv_dropout005_epochs_20","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuning_unhealthyconv_dropout005_epochs_20| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.9 MB| + +## References + +https://huggingface.co/dgalik/distilbert-finetuning-unhealthyConv-dropout005-epochs-20 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_for_capstone_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_for_capstone_en.md new file mode 100644 index 0000000000000..9070cc2a89372 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_for_capstone_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_for_capstone DistilBertForSequenceClassification from gArthur98 +author: John Snow Labs +name: distilbert_for_capstone +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_for_capstone` is a English model originally trained by gArthur98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_for_capstone_en_5.2.2_3.0_1703915858944.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_for_capstone_en_5.2.2_3.0_1703915858944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_for_capstone","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_for_capstone","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_for_capstone| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gArthur98/Distilbert-For-Capstone \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class3_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class3_en.md new file mode 100644 index 0000000000000..3c17970729e95 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_heaps_class3 DistilBertForSequenceClassification from johannes-garstenauer +author: John Snow Labs +name: distilbert_heaps_class3 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_heaps_class3` is a English model originally trained by johannes-garstenauer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class3_en_5.2.2_3.0_1703905554717.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class3_en_5.2.2_3.0_1703905554717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_heaps_class3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.4 MB| + +## References + +https://huggingface.co/johannes-garstenauer/distilbert-heaps-class3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class4_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class4_en.md new file mode 100644 index 0000000000000..93da3e77631d1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_heaps_class4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_heaps_class4 DistilBertForSequenceClassification from johannes-garstenauer +author: John Snow Labs +name: distilbert_heaps_class4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_heaps_class4` is a English model originally trained by johannes-garstenauer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class4_en_5.2.2_3.0_1703938092419.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class4_en_5.2.2_3.0_1703938092419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_heaps_class4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.2 MB| + +## References + +https://huggingface.co/johannes-garstenauer/distilbert-heaps-class4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_hoax_nlp_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_hoax_nlp_en.md new file mode 100644 index 0000000000000..17b8cf13ffe4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_hoax_nlp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_hoax_nlp DistilBertForSequenceClassification from ridhodaffasyah +author: John Snow Labs +name: distilbert_hoax_nlp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hoax_nlp` is a English model originally trained by ridhodaffasyah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hoax_nlp_en_5.2.2_3.0_1703895808695.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hoax_nlp_en_5.2.2_3.0_1703895808695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hoax_nlp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hoax_nlp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_hoax_nlp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ridhodaffasyah/distilbert-hoax-nlp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_bogdan63_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_bogdan63_en.md new file mode 100644 index 0000000000000..ff7ab1011ffac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_bogdan63_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_bogdan63 DistilBertForSequenceClassification from Bogdan63 +author: John Snow Labs +name: distilbert_imdb_bogdan63 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_bogdan63` is a English model originally trained by Bogdan63. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_bogdan63_en_5.2.2_3.0_1703911604931.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_bogdan63_en_5.2.2_3.0_1703911604931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_bogdan63","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_bogdan63","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_bogdan63| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Bogdan63/distilbert-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_chenroth_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_chenroth_en.md new file mode 100644 index 0000000000000..86399a6c18d99 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_chenroth_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_chenroth DistilBertForSequenceClassification from chenroth +author: John Snow Labs +name: distilbert_imdb_chenroth +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_chenroth` is a English model originally trained by chenroth. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_chenroth_en_5.2.2_3.0_1703907773674.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_chenroth_en_5.2.2_3.0_1703907773674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_chenroth","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_chenroth","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_chenroth| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chenroth/distilbert-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_full_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_full_en.md new file mode 100644 index 0000000000000..e74e14e299141 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_full_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_full DistilBertForSequenceClassification from adamc-7 +author: John Snow Labs +name: distilbert_imdb_full +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_full` is a English model originally trained by adamc-7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_full_en_5.2.2_3.0_1703903214908.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_full_en_5.2.2_3.0_1703903214908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_full","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_full","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_full| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/adamc-7/distilbert-imdb-full \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_micro_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_micro_en.md new file mode 100644 index 0000000000000..70781eb6957e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_micro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_micro DistilBertForSequenceClassification from adamc-7 +author: John Snow Labs +name: distilbert_imdb_micro +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_micro` is a English model originally trained by adamc-7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_micro_en_5.2.2_3.0_1703935870839.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_micro_en_5.2.2_3.0_1703935870839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_micro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_micro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_micro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/adamc-7/distilbert-imdb-micro \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_test_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_test_en.md new file mode 100644 index 0000000000000..bd976ebcd3583 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_test DistilBertForSequenceClassification from spneshaei +author: John Snow Labs +name: distilbert_imdb_test +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_test` is a English model originally trained by spneshaei. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_test_en_5.2.2_3.0_1703899218773.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_test_en_5.2.2_3.0_1703899218773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/spneshaei/distilbert_imdb_test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_tiny_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_tiny_en.md new file mode 100644 index 0000000000000..bdb192602ab56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_imdb_tiny_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_tiny DistilBertForSequenceClassification from adamc-7 +author: John Snow Labs +name: distilbert_imdb_tiny +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_tiny` is a English model originally trained by adamc-7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tiny_en_5.2.2_3.0_1703915205048.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tiny_en_5.2.2_3.0_1703915205048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tiny","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tiny","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_tiny| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/adamc-7/distilbert-imdb-tiny \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_jobcategory_370k_bcewithlogitsloss_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_jobcategory_370k_bcewithlogitsloss_en.md new file mode 100644 index 0000000000000..0723353437328 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_jobcategory_370k_bcewithlogitsloss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_jobcategory_370k_bcewithlogitsloss DistilBertForSequenceClassification from serbog +author: John Snow Labs +name: distilbert_jobcategory_370k_bcewithlogitsloss +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_jobcategory_370k_bcewithlogitsloss` is a English model originally trained by serbog. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_370k_bcewithlogitsloss_en_5.2.2_3.0_1703898894652.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_370k_bcewithlogitsloss_en_5.2.2_3.0_1703898894652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_370k_bcewithlogitsloss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_370k_bcewithlogitsloss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_jobcategory_370k_bcewithlogitsloss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/serbog/distilbert-jobCategory_370k_BCEWithLogitsLoss \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_mental_illness_detection_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_mental_illness_detection_en.md new file mode 100644 index 0000000000000..7bba69371339c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_mental_illness_detection_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_mental_illness_detection DistilBertForSequenceClassification from Prashant-karwasra +author: John Snow Labs +name: distilbert_mental_illness_detection +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mental_illness_detection` is a English model originally trained by Prashant-karwasra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mental_illness_detection_en_5.2.2_3.0_1703907773710.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mental_illness_detection_en_5.2.2_3.0_1703907773710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_mental_illness_detection","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_mental_illness_detection","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_mental_illness_detection| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Prashant-karwasra/DistilBert_mental_illness_detection \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_model_fine_tunning_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_model_fine_tunning_en.md new file mode 100644 index 0000000000000..9f689a2177ec8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_model_fine_tunning_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_model_fine_tunning DistilBertForSequenceClassification from jlasam +author: John Snow Labs +name: distilbert_model_fine_tunning +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_model_fine_tunning` is a English model originally trained by jlasam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_model_fine_tunning_en_5.2.2_3.0_1703972767615.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_model_fine_tunning_en_5.2.2_3.0_1703972767615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_fine_tunning","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_fine_tunning","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_model_fine_tunning| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jlasam/distilBert-model-fine-tunning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_onion_1epoch_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_onion_1epoch_en.md new file mode 100644 index 0000000000000..6f8b611ae1ea4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_onion_1epoch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_onion_1epoch DistilBertForSequenceClassification from ScandinavianMrT +author: John Snow Labs +name: distilbert_onion_1epoch +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_onion_1epoch` is a English model originally trained by ScandinavianMrT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_onion_1epoch_en_5.2.2_3.0_1703896301673.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_onion_1epoch_en_5.2.2_3.0_1703896301673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_onion_1epoch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_onion_1epoch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_onion_1epoch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ScandinavianMrT/distilbert_ONION_1epoch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_sxie3333_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_sxie3333_en.md new file mode 100644 index 0000000000000..5ee38cbdfa3e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_sxie3333_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sxie3333 DistilBertForSequenceClassification from sxie3333 +author: John Snow Labs +name: distilbert_sxie3333 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sxie3333` is a English model originally trained by sxie3333. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sxie3333_en_5.2.2_3.0_1703950318075.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sxie3333_en_5.2.2_3.0_1703950318075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sxie3333","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sxie3333","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sxie3333| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sxie3333/DistilBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc1000new_10epochs_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc1000new_10epochs_en.md new file mode 100644 index 0000000000000..47613c257558f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc1000new_10epochs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_tc1000new_10epochs DistilBertForSequenceClassification from youlun77 +author: John Snow Labs +name: distilbert_tc1000new_10epochs +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tc1000new_10epochs` is a English model originally trained by youlun77. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tc1000new_10epochs_en_5.2.2_3.0_1703965135995.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tc1000new_10epochs_en_5.2.2_3.0_1703965135995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tc1000new_10epochs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tc1000new_10epochs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_tc1000new_10epochs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/youlun77/DistilBERT-TC1000new-10epochs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc2000_10epochs_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc2000_10epochs_en.md new file mode 100644 index 0000000000000..7025753c28dc4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tc2000_10epochs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_tc2000_10epochs DistilBertForSequenceClassification from youlun77 +author: John Snow Labs +name: distilbert_tc2000_10epochs +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tc2000_10epochs` is a English model originally trained by youlun77. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tc2000_10epochs_en_5.2.2_3.0_1703900803829.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tc2000_10epochs_en_5.2.2_3.0_1703900803829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tc2000_10epochs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tc2000_10epochs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_tc2000_10epochs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/youlun77/DistilBERT-TC2000-10epochs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_topic_abstract_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_topic_abstract_classification_en.md new file mode 100644 index 0000000000000..5aa80ed291ec9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_topic_abstract_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_topic_abstract_classification DistilBertForSequenceClassification from Eitanli +author: John Snow Labs +name: distilbert_topic_abstract_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_topic_abstract_classification` is a English model originally trained by Eitanli. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_topic_abstract_classification_en_5.2.2_3.0_1703899782708.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_topic_abstract_classification_en_5.2.2_3.0_1703899782708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_topic_abstract_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_topic_abstract_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_topic_abstract_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eitanli/distilbert-topic-abstract-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_toxicity_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_toxicity_en.md new file mode 100644 index 0000000000000..0a4b7e7c0e09a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_toxicity_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_toxicity DistilBertForSequenceClassification from davidchiii +author: John Snow Labs +name: distilbert_toxicity +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxicity` is a English model originally trained by davidchiii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxicity_en_5.2.2_3.0_1703901807937.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxicity_en_5.2.2_3.0_1703901807937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_toxicity","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_toxicity","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_toxicity| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/davidchiii/distilbert-toxicity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_tweet_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tweet_sentiment_en.md new file mode 100644 index 0000000000000..ac40a6bb1c75d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_tweet_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_tweet_sentiment DistilBertForSequenceClassification from mattbit +author: John Snow Labs +name: distilbert_tweet_sentiment +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tweet_sentiment` is a English model originally trained by mattbit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tweet_sentiment_en_5.2.2_3.0_1703935540806.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tweet_sentiment_en_5.2.2_3.0_1703935540806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tweet_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_tweet_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_tweet_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/mattbit/distilbert-tweet-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilbert_wiki_epiphyte_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilbert_wiki_epiphyte_finetuned_en.md new file mode 100644 index 0000000000000..4bf2bc26c0336 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilbert_wiki_epiphyte_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_wiki_epiphyte_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_wiki_epiphyte_finetuned +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_wiki_epiphyte_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_wiki_epiphyte_finetuned_en_5.2.2_3.0_1703900281721.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_wiki_epiphyte_finetuned_en_5.2.2_3.0_1703900281721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_epiphyte_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_wiki_epiphyte_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_wiki_epiphyte_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-WIKI_Epiphyte_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1_en.md new file mode 100644 index 0000000000000..3df52143bf73d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1 DistilBertForSequenceClassification from ArafatBHossain +author: John Snow Labs +name: distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1` is a English model originally trained by ArafatBHossain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1_en_5.2.2_3.0_1703896217177.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1_en_5.2.2_3.0_1703896217177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distiled_flip_model_twitter_eval_alpha_0_8_epoch7_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ArafatBHossain/distiled_flip_model_twitter_eval_alpha_0.8_epoch7_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1_en.md new file mode 100644 index 0000000000000..92868cb9e64b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1 DistilBertForSequenceClassification from ArafatBHossain +author: John Snow Labs +name: distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1` is a English model originally trained by ArafatBHossain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1_en_5.2.2_3.0_1703900932725.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1_en_5.2.2_3.0_1703900932725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distiled_flip_model_twitter_eval_sentiment_alpha_0_8_epoch7_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ArafatBHossain/distiled_flip_model_twitter_eval_sentiment_alpha_0.8_epoch7_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distilka_applied_en.md b/docs/_posts/ahmedlone127/2023-12-30-distilka_applied_en.md new file mode 100644 index 0000000000000..d1f7a6e15bb05 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distilka_applied_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilka_applied DistilBertForSequenceClassification from tiya1012 +author: John Snow Labs +name: distilka_applied +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilka_applied` is a English model originally trained by tiya1012. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilka_applied_en_5.2.2_3.0_1703894663226.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilka_applied_en_5.2.2_3.0_1703894663226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilka_applied","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilka_applied","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilka_applied| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/tiya1012/distilka_applied \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_1017_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_1017_en.md new file mode 100644 index 0000000000000..305e6f3f0ff24 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_1017_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_1017 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_1017 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_1017` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_1017_en_5.2.2_3.0_1703899142911.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_1017_en_5.2.2_3.0_1703899142911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_1017","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_1017","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_1017| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-1017 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_2_en.md new file mode 100644 index 0000000000000..9906a36a8c05a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_0612_2 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_0612_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_0612_2` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_0612_2_en_5.2.2_3.0_1703951095915.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_0612_2_en_5.2.2_3.0_1703951095915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0612_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0612_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_0612_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-0612-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_en.md new file mode 100644 index 0000000000000..bd61f52cffe70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0612_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_0612 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_0612 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_0612` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_0612_en_5.2.2_3.0_1703964952171.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_0612_en_5.2.2_3.0_1703964952171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0612","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0612","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_0612| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-0612 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0812_english_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0812_english_en.md new file mode 100644 index 0000000000000..1a3fe14d9a472 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_0812_english_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_0812_english DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_0812_english +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_0812_english` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_0812_english_en_5.2.2_3.0_1703974216736.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_0812_english_en_5.2.2_3.0_1703974216736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0812_english","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_0812_english","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_0812_english| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-0812-en \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0612_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0612_1_en.md new file mode 100644 index 0000000000000..0c03b7e498058 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0612_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_0612_1 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_0612_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_0612_1` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_0612_1_en_5.2.2_3.0_1703900507371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_0612_1_en_5.2.2_3.0_1703900507371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_0612_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_0612_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_0612_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-0612-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0710_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0710_en.md new file mode 100644 index 0000000000000..847b76317e87a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_0710_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_0710 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_0710 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_0710` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_0710_en_5.2.2_3.0_1703910921896.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_0710_en_5.2.2_3.0_1703910921896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_0710","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_0710","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_0710| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-0710 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2111_tajik_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2111_tajik_en.md new file mode 100644 index 0000000000000..35491b1fa3214 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2111_tajik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_2111_tajik DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_2111_tajik +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_2111_tajik` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_2111_tajik_en_5.2.2_3.0_1703968188278.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_2111_tajik_en_5.2.2_3.0_1703968188278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2111_tajik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2111_tajik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_2111_tajik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-2111-tg \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2211_tajik_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2211_tajik_en.md new file mode 100644 index 0000000000000..ec737c1d593a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2211_tajik_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_2211_tajik DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_2211_tajik +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_2211_tajik` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_2211_tajik_en_5.2.2_3.0_1703916962411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_2211_tajik_en_5.2.2_3.0_1703916962411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2211_tajik","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2211_tajik","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_2211_tajik| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-2211-tg \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza2_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza2_en.md new file mode 100644 index 0000000000000..d0045f57c0e9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_2911_sza2 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_2911_sza2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_2911_sza2` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_2911_sza2_en_5.2.2_3.0_1703975644865.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_2911_sza2_en_5.2.2_3.0_1703975644865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2911_sza2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2911_sza2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_2911_sza2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-2911-sza2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza_en.md b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza_en.md new file mode 100644 index 0000000000000..5e25388ec20b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distill_golden_group_2911_sza_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_2911_sza DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_2911_sza +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_2911_sza` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_2911_sza_en_5.2.2_3.0_1703916628234.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_2911_sza_en_5.2.2_3.0_1703916628234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2911_sza","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2911_sza","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_2911_sza| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-2911-sza \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distillbert_base_uncased_fine_tune_winogrande_8_1e_16_en.md b/docs/_posts/ahmedlone127/2023-12-30-distillbert_base_uncased_fine_tune_winogrande_8_1e_16_en.md new file mode 100644 index 0000000000000..044e77a79bd72 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distillbert_base_uncased_fine_tune_winogrande_8_1e_16_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distillbert_base_uncased_fine_tune_winogrande_8_1e_16 DistilBertForSequenceClassification from Stupendousabhi +author: John Snow Labs +name: distillbert_base_uncased_fine_tune_winogrande_8_1e_16 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_fine_tune_winogrande_8_1e_16` is a English model originally trained by Stupendousabhi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_fine_tune_winogrande_8_1e_16_en_5.2.2_3.0_1703895839717.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_fine_tune_winogrande_8_1e_16_en_5.2.2_3.0_1703895839717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_base_uncased_fine_tune_winogrande_8_1e_16","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distillbert_base_uncased_fine_tune_winogrande_8_1e_16","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distillbert_base_uncased_fine_tune_winogrande_8_1e_16| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Stupendousabhi/distillbert-base-uncased-fine-tune-winogrande-8-1e-16 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-distiltrain_sin_swahili_en.md b/docs/_posts/ahmedlone127/2023-12-30-distiltrain_sin_swahili_en.md new file mode 100644 index 0000000000000..7d4045fd71b79 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-distiltrain_sin_swahili_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distiltrain_sin_swahili DistilBertForSequenceClassification from AleNunezArroyo +author: John Snow Labs +name: distiltrain_sin_swahili +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiltrain_sin_swahili` is a English model originally trained by AleNunezArroyo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiltrain_sin_swahili_en_5.2.2_3.0_1703906311102.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiltrain_sin_swahili_en_5.2.2_3.0_1703906311102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiltrain_sin_swahili","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distiltrain_sin_swahili","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distiltrain_sin_swahili| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/AleNunezArroyo/distiltrain-sin-sw \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-dschallengelearningrate_en.md b/docs/_posts/ahmedlone127/2023-12-30-dschallengelearningrate_en.md new file mode 100644 index 0000000000000..f892b1748707c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-dschallengelearningrate_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dschallengelearningrate DistilBertForSequenceClassification from leonardosaveri +author: John Snow Labs +name: dschallengelearningrate +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dschallengelearningrate` is a English model originally trained by leonardosaveri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dschallengelearningrate_en_5.2.2_3.0_1703894480485.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dschallengelearningrate_en_5.2.2_3.0_1703894480485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengelearningrate","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dschallengelearningrate","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dschallengelearningrate| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/leonardosaveri/DSChallengeLearningRate \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbert_15000_en.md b/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbert_15000_en.md new file mode 100644 index 0000000000000..311d8da7b4d02 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbert_15000_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English duplicatidistillbert_15000 DistilBertForSequenceClassification from Kamer +author: John Snow Labs +name: duplicatidistillbert_15000 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicatidistillbert_15000` is a English model originally trained by Kamer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicatidistillbert_15000_en_5.2.2_3.0_1703919019079.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicatidistillbert_15000_en_5.2.2_3.0_1703919019079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbert_15000","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbert_15000","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|duplicatidistillbert_15000| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kamer/DuplicatiDistillBert-15000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbertfulltraining_kamer_en.md b/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbertfulltraining_kamer_en.md new file mode 100644 index 0000000000000..a1a994114d3bc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-duplicatidistillbertfulltraining_kamer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English duplicatidistillbertfulltraining_kamer DistilBertForSequenceClassification from Kamer +author: John Snow Labs +name: duplicatidistillbertfulltraining_kamer +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicatidistillbertfulltraining_kamer` is a English model originally trained by Kamer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicatidistillbertfulltraining_kamer_en_5.2.2_3.0_1703909804376.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicatidistillbertfulltraining_kamer_en_5.2.2_3.0_1703909804376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbertfulltraining_kamer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("duplicatidistillbertfulltraining_kamer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|duplicatidistillbertfulltraining_kamer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kamer/DuplicatiDistillBertFullTraining \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-ecobert_powo_growth_form_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-30-ecobert_powo_growth_form_finetuned_en.md new file mode 100644 index 0000000000000..6227a67f7e16a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-ecobert_powo_growth_form_finetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ecobert_powo_growth_form_finetuned DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: ecobert_powo_growth_form_finetuned +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_growth_form_finetuned` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_growth_form_finetuned_en_5.2.2_3.0_1703899495372.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_growth_form_finetuned_en_5.2.2_3.0_1703899495372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_growth_form_finetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ecobert_powo_growth_form_finetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ecobert_powo_growth_form_finetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViktorDo/EcoBERT-POWO_Growth_Form_Finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-ellis_chat_v2_en.md b/docs/_posts/ahmedlone127/2023-12-30-ellis_chat_v2_en.md new file mode 100644 index 0000000000000..93354fc12a6c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-ellis_chat_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ellis_chat_v2 DistilBertForSequenceClassification from gsl22 +author: John Snow Labs +name: ellis_chat_v2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ellis_chat_v2` is a English model originally trained by gsl22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ellis_chat_v2_en_5.2.2_3.0_1703949668596.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ellis_chat_v2_en_5.2.2_3.0_1703949668596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ellis_chat_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ellis_chat_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ellis_chat_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gsl22/ellis-chat-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-emotion_classification_distilbertbase_ft_en.md b/docs/_posts/ahmedlone127/2023-12-30-emotion_classification_distilbertbase_ft_en.md new file mode 100644 index 0000000000000..4d30ca5965358 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-emotion_classification_distilbertbase_ft_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_classification_distilbertbase_ft DistilBertForSequenceClassification from Mahendrakharra +author: John Snow Labs +name: emotion_classification_distilbertbase_ft +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_classification_distilbertbase_ft` is a English model originally trained by Mahendrakharra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_classification_distilbertbase_ft_en_5.2.2_3.0_1703964784877.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_classification_distilbertbase_ft_en_5.2.2_3.0_1703964784877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_classification_distilbertbase_ft","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_classification_distilbertbase_ft","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_classification_distilbertbase_ft| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mahendrakharra/Emotion_Classification_DistilBertBase_FT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-emotion_detection_finetuned_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-emotion_detection_finetuned_distilbert_en.md new file mode 100644 index 0000000000000..3e960715fb283 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-emotion_detection_finetuned_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_detection_finetuned_distilbert DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: emotion_detection_finetuned_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_detection_finetuned_distilbert` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_detection_finetuned_distilbert_en_5.2.2_3.0_1703896610753.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_detection_finetuned_distilbert_en_5.2.2_3.0_1703896610753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_detection_finetuned_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_detection_finetuned_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_detection_finetuned_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/emotion_detection_finetuned_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-emotion_final_en.md b/docs/_posts/ahmedlone127/2023-12-30-emotion_final_en.md new file mode 100644 index 0000000000000..78fe771482352 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-emotion_final_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_final DistilBertForSequenceClassification from pietrotrope +author: John Snow Labs +name: emotion_final +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_final` is a English model originally trained by pietrotrope. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_final_en_5.2.2_3.0_1703980488041.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_final_en_5.2.2_3.0_1703980488041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_final","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_final","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_final| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pietrotrope/emotion_final \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-english_headline_classifier_fake_news_en.md b/docs/_posts/ahmedlone127/2023-12-30-english_headline_classifier_fake_news_en.md new file mode 100644 index 0000000000000..e4e93e53aed0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-english_headline_classifier_fake_news_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English english_headline_classifier_fake_news DistilBertForSequenceClassification from gloobdoob +author: John Snow Labs +name: english_headline_classifier_fake_news +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_headline_classifier_fake_news` is a English model originally trained by gloobdoob. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_headline_classifier_fake_news_en_5.2.2_3.0_1703944831638.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_headline_classifier_fake_news_en_5.2.2_3.0_1703944831638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("english_headline_classifier_fake_news","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("english_headline_classifier_fake_news","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|english_headline_classifier_fake_news| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gloobdoob/english-headline-classifier-fake-news \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-english_sms_classification_model_with_subset_en.md b/docs/_posts/ahmedlone127/2023-12-30-english_sms_classification_model_with_subset_en.md new file mode 100644 index 0000000000000..b4e9824c15dec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-english_sms_classification_model_with_subset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English english_sms_classification_model_with_subset DistilBertForSequenceClassification from akuysal +author: John Snow Labs +name: english_sms_classification_model_with_subset +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_sms_classification_model_with_subset` is a English model originally trained by akuysal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_sms_classification_model_with_subset_en_5.2.2_3.0_1703900452146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_sms_classification_model_with_subset_en_5.2.2_3.0_1703900452146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("english_sms_classification_model_with_subset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("english_sms_classification_model_with_subset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|english_sms_classification_model_with_subset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/akuysal/English-SMS-classification-model-With-Subset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-env_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-env_1_en.md new file mode 100644 index 0000000000000..55fabeda23e01 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-env_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English env_1 DistilBertForSequenceClassification from Tianda7721 +author: John Snow Labs +name: env_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`env_1` is a English model originally trained by Tianda7721. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/env_1_en_5.2.2_3.0_1703970745906.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/env_1_en_5.2.2_3.0_1703970745906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|env_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tianda7721/env_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-equipo06semana09_en.md b/docs/_posts/ahmedlone127/2023-12-30-equipo06semana09_en.md new file mode 100644 index 0000000000000..c9a7085f8c012 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-equipo06semana09_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English equipo06semana09 DistilBertForSequenceClassification from ALPHONSE28 +author: John Snow Labs +name: equipo06semana09 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`equipo06semana09` is a English model originally trained by ALPHONSE28. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/equipo06semana09_en_5.2.2_3.0_1703952624578.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/equipo06semana09_en_5.2.2_3.0_1703952624578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("equipo06semana09","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("equipo06semana09","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|equipo06semana09| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ALPHONSE28/EQUIPO06SEMANA09 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-equipo16_finetunning_amazon_comments_en.md b/docs/_posts/ahmedlone127/2023-12-30-equipo16_finetunning_amazon_comments_en.md new file mode 100644 index 0000000000000..777df795dfacb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-equipo16_finetunning_amazon_comments_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English equipo16_finetunning_amazon_comments DistilBertForSequenceClassification from memotirre90 +author: John Snow Labs +name: equipo16_finetunning_amazon_comments +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`equipo16_finetunning_amazon_comments` is a English model originally trained by memotirre90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/equipo16_finetunning_amazon_comments_en_5.2.2_3.0_1703935392916.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/equipo16_finetunning_amazon_comments_en_5.2.2_3.0_1703935392916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("equipo16_finetunning_amazon_comments","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("equipo16_finetunning_amazon_comments","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|equipo16_finetunning_amazon_comments| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/memotirre90/Equipo16_FineTunning_Amazon_Comments \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-evas_detector_portuguese_fillers_en.md b/docs/_posts/ahmedlone127/2023-12-30-evas_detector_portuguese_fillers_en.md new file mode 100644 index 0000000000000..02980838ee9b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-evas_detector_portuguese_fillers_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English evas_detector_portuguese_fillers DistilBertForSequenceClassification from alenaa +author: John Snow Labs +name: evas_detector_portuguese_fillers +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evas_detector_portuguese_fillers` is a English model originally trained by alenaa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evas_detector_portuguese_fillers_en_5.2.2_3.0_1703950265352.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evas_detector_portuguese_fillers_en_5.2.2_3.0_1703950265352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("evas_detector_portuguese_fillers","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("evas_detector_portuguese_fillers","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|evas_detector_portuguese_fillers| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alenaa/evas_detector_pt_fillers \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-evasiveness2_en.md b/docs/_posts/ahmedlone127/2023-12-30-evasiveness2_en.md new file mode 100644 index 0000000000000..913f034c2066f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-evasiveness2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English evasiveness2 DistilBertForSequenceClassification from alenaa +author: John Snow Labs +name: evasiveness2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evasiveness2` is a English model originally trained by alenaa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evasiveness2_en_5.2.2_3.0_1703899780131.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evasiveness2_en_5.2.2_3.0_1703899780131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("evasiveness2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("evasiveness2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|evasiveness2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alenaa/evasiveness2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fake1_en.md b/docs/_posts/ahmedlone127/2023-12-30-fake1_en.md new file mode 100644 index 0000000000000..b33db7e7e3446 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fake1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake1 DistilBertForSequenceClassification from kleopatra102 +author: John Snow Labs +name: fake1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake1` is a English model originally trained by kleopatra102. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake1_en_5.2.2_3.0_1703964333842.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake1_en_5.2.2_3.0_1703964333842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kleopatra102/fake1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fake4_en.md b/docs/_posts/ahmedlone127/2023-12-30-fake4_en.md new file mode 100644 index 0000000000000..761ac3c42e013 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fake4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake4 DistilBertForSequenceClassification from kleopatra102 +author: John Snow Labs +name: fake4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake4` is a English model originally trained by kleopatra102. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake4_en_5.2.2_3.0_1703935248272.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake4_en_5.2.2_3.0_1703935248272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kleopatra102/fake4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fatima_task_nlp_en.md b/docs/_posts/ahmedlone127/2023-12-30-fatima_task_nlp_en.md new file mode 100644 index 0000000000000..80c545345d1f6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fatima_task_nlp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fatima_task_nlp DistilBertForSequenceClassification from pushpdeep +author: John Snow Labs +name: fatima_task_nlp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fatima_task_nlp` is a English model originally trained by pushpdeep. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fatima_task_nlp_en_5.2.2_3.0_1703896755209.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fatima_task_nlp_en_5.2.2_3.0_1703896755209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fatima_task_nlp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fatima_task_nlp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fatima_task_nlp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pushpdeep/fatima_task_nlp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-feedier_french_books_en.md b/docs/_posts/ahmedlone127/2023-12-30-feedier_french_books_en.md new file mode 100644 index 0000000000000..9b30243555ddd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-feedier_french_books_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English feedier_french_books DistilBertForSequenceClassification from maclean-connor96 +author: John Snow Labs +name: feedier_french_books +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feedier_french_books` is a English model originally trained by maclean-connor96. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feedier_french_books_en_5.2.2_3.0_1703898652209.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feedier_french_books_en_5.2.2_3.0_1703898652209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("feedier_french_books","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("feedier_french_books","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|feedier_french_books| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/maclean-connor96/feedier-french-books \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fin_sentiment_dhananjaypandey_en.md b/docs/_posts/ahmedlone127/2023-12-30-fin_sentiment_dhananjaypandey_en.md new file mode 100644 index 0000000000000..fe12ea0d5e70e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fin_sentiment_dhananjaypandey_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fin_sentiment_dhananjaypandey DistilBertForSequenceClassification from dhananjaypandey +author: John Snow Labs +name: fin_sentiment_dhananjaypandey +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_dhananjaypandey` is a English model originally trained by dhananjaypandey. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_dhananjaypandey_en_5.2.2_3.0_1703901119277.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_dhananjaypandey_en_5.2.2_3.0_1703901119277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_dhananjaypandey","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fin_sentiment_dhananjaypandey","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fin_sentiment_dhananjaypandey| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dhananjaypandey/fin_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1353_en.md b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1353_en.md new file mode 100644 index 0000000000000..df09b757518bc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1353_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finalprojectyonsei1353 DistilBertForSequenceClassification from sdw103 +author: John Snow Labs +name: finalprojectyonsei1353 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finalprojectyonsei1353` is a English model originally trained by sdw103. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1353_en_5.2.2_3.0_1703934169386.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1353_en_5.2.2_3.0_1703934169386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1353","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1353","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finalprojectyonsei1353| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sdw103/finalprojectyonsei1353 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1402_en.md b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1402_en.md new file mode 100644 index 0000000000000..4d0eeb690c7cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1402_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finalprojectyonsei1402 DistilBertForSequenceClassification from sdw103 +author: John Snow Labs +name: finalprojectyonsei1402 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finalprojectyonsei1402` is a English model originally trained by sdw103. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1402_en_5.2.2_3.0_1703919658231.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1402_en_5.2.2_3.0_1703919658231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1402","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1402","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finalprojectyonsei1402| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sdw103/finalprojectyonsei1402 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1414_en.md b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1414_en.md new file mode 100644 index 0000000000000..8773660f4b6f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1414_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finalprojectyonsei1414 DistilBertForSequenceClassification from sdw103 +author: John Snow Labs +name: finalprojectyonsei1414 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finalprojectyonsei1414` is a English model originally trained by sdw103. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1414_en_5.2.2_3.0_1703915939387.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1414_en_5.2.2_3.0_1703915939387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1414","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1414","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finalprojectyonsei1414| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sdw103/finalprojectyonsei1414 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1603_en.md b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1603_en.md new file mode 100644 index 0000000000000..a3ca77df70832 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finalprojectyonsei1603_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finalprojectyonsei1603 DistilBertForSequenceClassification from sdw103 +author: John Snow Labs +name: finalprojectyonsei1603 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finalprojectyonsei1603` is a English model originally trained by sdw103. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1603_en_5.2.2_3.0_1703934489079.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finalprojectyonsei1603_en_5.2.2_3.0_1703934489079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1603","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finalprojectyonsei1603","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finalprojectyonsei1603| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sdw103/finalprojectyonsei1603 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_model_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_model_2_en.md new file mode 100644 index 0000000000000..e896db3d17ed5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_model_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fine_tuned_model_2 DistilBertForSequenceClassification from benoua +author: John Snow Labs +name: fine_tuned_model_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_model_2` is a English model originally trained by benoua. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_model_2_en_5.2.2_3.0_1703934651212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_model_2_en_5.2.2_3.0_1703934651212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_model_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_model_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fine_tuned_model_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/benoua/fine-tuned-model-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_temp_real_en.md b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_temp_real_en.md new file mode 100644 index 0000000000000..762ac545e4982 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_temp_real_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fine_tuned_temp_real DistilBertForSequenceClassification from CMunch +author: John Snow Labs +name: fine_tuned_temp_real +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_temp_real` is a English model originally trained by CMunch. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_temp_real_en_5.2.2_3.0_1703912623411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_temp_real_en_5.2.2_3.0_1703912623411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_temp_real","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_temp_real","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fine_tuned_temp_real| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CMunch/fine_tuned_temp_real \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_text_clf_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_text_clf_model_en.md new file mode 100644 index 0000000000000..ed1099e0671bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-fine_tuned_text_clf_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fine_tuned_text_clf_model DistilBertForSequenceClassification from danielbubiola +author: John Snow Labs +name: fine_tuned_text_clf_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_text_clf_model` is a English model originally trained by danielbubiola. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_text_clf_model_en_5.2.2_3.0_1703944994404.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_text_clf_model_en_5.2.2_3.0_1703944994404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_text_clf_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_text_clf_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fine_tuned_text_clf_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/danielbubiola/fine_tuned_text_clf_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuned_distilbert_base_model_for_twitter_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuned_distilbert_base_model_for_twitter_sentiment_analysis_en.md new file mode 100644 index 0000000000000..64845c62e09c5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuned_distilbert_base_model_for_twitter_sentiment_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_base_model_for_twitter_sentiment_analysis DistilBertForSequenceClassification from muiga-mwangi +author: John Snow Labs +name: finetuned_distilbert_base_model_for_twitter_sentiment_analysis +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_model_for_twitter_sentiment_analysis` is a English model originally trained by muiga-mwangi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_for_twitter_sentiment_analysis_en_5.2.2_3.0_1703898349380.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_for_twitter_sentiment_analysis_en_5.2.2_3.0_1703898349380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_base_model_for_twitter_sentiment_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_base_model_for_twitter_sentiment_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_base_model_for_twitter_sentiment_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/muiga-mwangi/Finetuned-DistilBert-base-model-for-Twitter-Sentiment-Analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuned_yelp_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuned_yelp_en.md new file mode 100644 index 0000000000000..405e795fe549f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuned_yelp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_yelp DistilBertForSequenceClassification from JBDef +author: John Snow Labs +name: finetuned_yelp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_yelp` is a English model originally trained by JBDef. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_yelp_en_5.2.2_3.0_1703918186177.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_yelp_en_5.2.2_3.0_1703918186177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_yelp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_yelp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_yelp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JBDef/finetuned_yelp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_mode_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_mode_en.md new file mode 100644 index 0000000000000..4bcd5a1220121 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_mode_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_mode DistilBertForSequenceClassification from wei0629 +author: John Snow Labs +name: finetuning_emotion_mode +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_mode` is a English model originally trained by wei0629. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_mode_en_5.2.2_3.0_1703980128833.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_mode_en_5.2.2_3.0_1703980128833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_mode","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_mode","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_mode| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wei0629/finetuning-emotion-mode \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_eepon_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_eepon_en.md new file mode 100644 index 0000000000000..574e531bb8c1b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_eepon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_eepon DistilBertForSequenceClassification from eepon +author: John Snow Labs +name: finetuning_emotion_model_eepon +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_eepon` is a English model originally trained by eepon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_eepon_en_5.2.2_3.0_1703933690941.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_eepon_en_5.2.2_3.0_1703933690941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_eepon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_eepon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_eepon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/eepon/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_manuaihug_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_manuaihug_en.md new file mode 100644 index 0000000000000..53927b6d83a2c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_manuaihug_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_manuaihug DistilBertForSequenceClassification from ManuAiHug +author: John Snow Labs +name: finetuning_emotion_model_manuaihug +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_manuaihug` is a English model originally trained by ManuAiHug. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_manuaihug_en_5.2.2_3.0_1703898055790.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_manuaihug_en_5.2.2_3.0_1703898055790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_manuaihug","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_manuaihug","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_manuaihug| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ManuAiHug/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_mohadfarag1_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_mohadfarag1_en.md new file mode 100644 index 0000000000000..f8a982fe1768a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_emotion_model_mohadfarag1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_mohadfarag1 DistilBertForSequenceClassification from mohadfarag1 +author: John Snow Labs +name: finetuning_emotion_model_mohadfarag1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_mohadfarag1` is a English model originally trained by mohadfarag1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_mohadfarag1_en_5.2.2_3.0_1703909357817.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_mohadfarag1_en_5.2.2_3.0_1703909357817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_mohadfarag1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_mohadfarag1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_mohadfarag1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mohadfarag1/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_hyperpartisan_model_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_hyperpartisan_model_samples_en.md new file mode 100644 index 0000000000000..1fcc33db54813 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_hyperpartisan_model_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_hyperpartisan_model_samples DistilBertForSequenceClassification from anasrz +author: John Snow Labs +name: finetuning_hyperpartisan_model_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_hyperpartisan_model_samples` is a English model originally trained by anasrz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_hyperpartisan_model_samples_en_5.2.2_3.0_1703899653656.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_hyperpartisan_model_samples_en_5.2.2_3.0_1703899653656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_hyperpartisan_model_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_hyperpartisan_model_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_hyperpartisan_model_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/anasrz/finetuning-hyperpartisan-model-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_misinfo_model_700_zhaohui_1_misinfo_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_misinfo_model_700_zhaohui_1_misinfo_en.md new file mode 100644 index 0000000000000..760917cc54b7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_misinfo_model_700_zhaohui_1_misinfo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_misinfo_model_700_zhaohui_1_misinfo DistilBertForSequenceClassification from Zhaohui +author: John Snow Labs +name: finetuning_misinfo_model_700_zhaohui_1_misinfo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_misinfo_model_700_zhaohui_1_misinfo` is a English model originally trained by Zhaohui. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_700_zhaohui_1_misinfo_en_5.2.2_3.0_1703898603097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_700_zhaohui_1_misinfo_en_5.2.2_3.0_1703898603097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_700_zhaohui_1_misinfo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_700_zhaohui_1_misinfo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_misinfo_model_700_zhaohui_1_misinfo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zhaohui/finetuning-misinfo-model-700-Zhaohui-1_misinfo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sdp_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sdp_model_3000_samples_en.md new file mode 100644 index 0000000000000..47a5ab2aaad13 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sdp_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sdp_model_3000_samples DistilBertForSequenceClassification from yashwantk +author: John Snow Labs +name: finetuning_sdp_model_3000_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sdp_model_3000_samples` is a English model originally trained by yashwantk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sdp_model_3000_samples_en_5.2.2_3.0_1703916730169.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sdp_model_3000_samples_en_5.2.2_3.0_1703916730169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sdp_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sdp_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sdp_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yashwantk/finetuning-sdp-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_analysis_tweets_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_analysis_tweets_en.md new file mode 100644 index 0000000000000..2aac93418cdb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_analysis_tweets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_analysis_tweets DistilBertForSequenceClassification from Asif1997 +author: John Snow Labs +name: finetuning_sentiment_analysis_tweets +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_tweets` is a English model originally trained by Asif1997. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_tweets_en_5.2.2_3.0_1703899493124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_tweets_en_5.2.2_3.0_1703899493124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_analysis_tweets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_analysis_tweets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_analysis_tweets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Asif1997/finetuning-sentiment-analysis-tweets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_distilbert_en.md new file mode 100644 index 0000000000000..b41bfd28d926e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_distilbert DistilBertForSequenceClassification from gnamiro +author: John Snow Labs +name: finetuning_sentiment_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_distilbert` is a English model originally trained by gnamiro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_distilbert_en_5.2.2_3.0_1703937198969.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_distilbert_en_5.2.2_3.0_1703937198969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gnamiro/finetuning-sentiment-distilBert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_2_en.md new file mode 100644 index 0000000000000..dc48b2c3b991e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_2 DistilBertForSequenceClassification from Rbaudeu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_2` is a English model originally trained by Rbaudeu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_2_en_5.2.2_3.0_1703934406232.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_2_en_5.2.2_3.0_1703934406232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Rbaudeu/finetuning-sentiment-model-3000-samples-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_6pm_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_6pm_en.md new file mode 100644 index 0000000000000..aa711bb1681ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_6pm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_6pm DistilBertForSequenceClassification from ttwj-sutd +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_6pm +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_6pm` is a English model originally trained by ttwj-sutd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_6pm_en_5.2.2_3.0_1703895457566.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_6pm_en_5.2.2_3.0_1703895457566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_6pm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_6pm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_6pm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ttwj-sutd/finetuning-sentiment-model-3000-samples-6pm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_a24215_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_a24215_en.md new file mode 100644 index 0000000000000..d916b7b8d99b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_a24215_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_a24215 DistilBertForSequenceClassification from a24215 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_a24215 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_a24215` is a English model originally trained by a24215. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a24215_en_5.2.2_3.0_1703948467521.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a24215_en_5.2.2_3.0_1703948467521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_a24215","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_a24215","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_a24215| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/a24215/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_abautista_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_abautista_en.md new file mode 100644 index 0000000000000..783d64c2e0eb2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_abautista_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_abautista DistilBertForSequenceClassification from abautista +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_abautista +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_abautista` is a English model originally trained by abautista. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abautista_en_5.2.2_3.0_1703906210129.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abautista_en_5.2.2_3.0_1703906210129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abautista","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abautista","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_abautista| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/abautista/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alakhani33_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alakhani33_en.md new file mode 100644 index 0000000000000..e88347aac5678 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alakhani33_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_alakhani33 DistilBertForSequenceClassification from alakhani33 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_alakhani33 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_alakhani33` is a English model originally trained by alakhani33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alakhani33_en_5.2.2_3.0_1703903245407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alakhani33_en_5.2.2_3.0_1703903245407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alakhani33","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alakhani33","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_alakhani33| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alakhani33/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliaa23_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliaa23_en.md new file mode 100644 index 0000000000000..46cca6f9d2769 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliaa23_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aliaa23 DistilBertForSequenceClassification from aliaa23 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aliaa23 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aliaa23` is a English model originally trained by aliaa23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aliaa23_en_5.2.2_3.0_1703933704348.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aliaa23_en_5.2.2_3.0_1703933704348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aliaa23","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aliaa23","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aliaa23| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aliaa23/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliciaa2711_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliciaa2711_en.md new file mode 100644 index 0000000000000..44bab95a6cb17 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_aliciaa2711_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_aliciaa2711 DistilBertForSequenceClassification from aliciaa2711 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_aliciaa2711 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aliciaa2711` is a English model originally trained by aliciaa2711. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aliciaa2711_en_5.2.2_3.0_1703934330508.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aliciaa2711_en_5.2.2_3.0_1703934330508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aliciaa2711","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_aliciaa2711","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_aliciaa2711| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aliciaa2711/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alphakjh_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alphakjh_en.md new file mode 100644 index 0000000000000..6badf85c68efd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_alphakjh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_alphakjh DistilBertForSequenceClassification from alphakjh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_alphakjh +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_alphakjh` is a English model originally trained by alphakjh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alphakjh_en_5.2.2_3.0_1703946583514.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_alphakjh_en_5.2.2_3.0_1703946583514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alphakjh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_alphakjh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_alphakjh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alphakjh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ampmc_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ampmc_en.md new file mode 100644 index 0000000000000..a4e79e0475a8c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ampmc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ampmc DistilBertForSequenceClassification from ampmc +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ampmc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ampmc` is a English model originally trained by ampmc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ampmc_en_5.2.2_3.0_1703919071066.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ampmc_en_5.2.2_3.0_1703919071066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ampmc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ampmc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ampmc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ampmc/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_anavarro78_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_anavarro78_en.md new file mode 100644 index 0000000000000..d189f194e1d76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_anavarro78_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_anavarro78 DistilBertForSequenceClassification from anavarro78 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_anavarro78 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_anavarro78` is a English model originally trained by anavarro78. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_anavarro78_en_5.2.2_3.0_1703897524370.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_anavarro78_en_5.2.2_3.0_1703897524370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_anavarro78","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_anavarro78","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_anavarro78| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/anavarro78/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_annastein_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_annastein_en.md new file mode 100644 index 0000000000000..e917149712d0e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_annastein_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_annastein DistilBertForSequenceClassification from AnnaStein +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_annastein +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_annastein` is a English model originally trained by AnnaStein. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_annastein_en_5.2.2_3.0_1703951028937.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_annastein_en_5.2.2_3.0_1703951028937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_annastein","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_annastein","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_annastein| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AnnaStein/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bgoldfe2_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bgoldfe2_en.md new file mode 100644 index 0000000000000..bcff09e7a6fd9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bgoldfe2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_bgoldfe2 DistilBertForSequenceClassification from bgoldfe2 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_bgoldfe2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bgoldfe2` is a English model originally trained by bgoldfe2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bgoldfe2_en_5.2.2_3.0_1703977879624.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bgoldfe2_en_5.2.2_3.0_1703977879624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bgoldfe2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bgoldfe2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_bgoldfe2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bgoldfe2/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bronchiasaurus_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bronchiasaurus_en.md new file mode 100644 index 0000000000000..db9596ae3cbfc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_bronchiasaurus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_bronchiasaurus DistilBertForSequenceClassification from Bronchiasaurus +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_bronchiasaurus +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bronchiasaurus` is a English model originally trained by Bronchiasaurus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bronchiasaurus_en_5.2.2_3.0_1703965279006.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bronchiasaurus_en_5.2.2_3.0_1703965279006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bronchiasaurus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bronchiasaurus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_bronchiasaurus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Bronchiasaurus/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_camelia7v_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_camelia7v_en.md new file mode 100644 index 0000000000000..5bb3c3405ff47 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_camelia7v_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_camelia7v DistilBertForSequenceClassification from Camelia7v +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_camelia7v +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_camelia7v` is a English model originally trained by Camelia7v. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_camelia7v_en_5.2.2_3.0_1703900429675.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_camelia7v_en_5.2.2_3.0_1703900429675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_camelia7v","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_camelia7v","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_camelia7v| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Camelia7v/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_carlos_s_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_carlos_s_en.md new file mode 100644 index 0000000000000..773a6d6c29a30 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_carlos_s_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_carlos_s DistilBertForSequenceClassification from Carlos-S +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_carlos_s +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_carlos_s` is a English model originally trained by Carlos-S. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_carlos_s_en_5.2.2_3.0_1703908186549.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_carlos_s_en_5.2.2_3.0_1703908186549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_carlos_s","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_carlos_s","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_carlos_s| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Carlos-S/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chloecakee_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chloecakee_en.md new file mode 100644 index 0000000000000..2f5fd967ce5ae --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chloecakee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_chloecakee DistilBertForSequenceClassification from Chloecakee +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_chloecakee +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chloecakee` is a English model originally trained by Chloecakee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chloecakee_en_5.2.2_3.0_1703933903791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chloecakee_en_5.2.2_3.0_1703933903791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chloecakee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chloecakee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_chloecakee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chloecakee/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chrishistewandb_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chrishistewandb_en.md new file mode 100644 index 0000000000000..0de8f35b4ab58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_chrishistewandb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_chrishistewandb DistilBertForSequenceClassification from chrishistewandb +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_chrishistewandb +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chrishistewandb` is a English model originally trained by chrishistewandb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chrishistewandb_en_5.2.2_3.0_1703934700976.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chrishistewandb_en_5.2.2_3.0_1703934700976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chrishistewandb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chrishistewandb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_chrishistewandb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/chrishistewandb/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_classjek_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_classjek_en.md new file mode 100644 index 0000000000000..ef010b20098df --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_classjek_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_classjek DistilBertForSequenceClassification from classjek +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_classjek +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_classjek` is a English model originally trained by classjek. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_classjek_en_5.2.2_3.0_1703933981597.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_classjek_en_5.2.2_3.0_1703933981597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_classjek","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_classjek","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_classjek| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/classjek/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_cosmmb_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_cosmmb_en.md new file mode 100644 index 0000000000000..02957840a0209 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_cosmmb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cosmmb DistilBertForSequenceClassification from cosmmb +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cosmmb +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cosmmb` is a English model originally trained by cosmmb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cosmmb_en_5.2.2_3.0_1703901324556.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cosmmb_en_5.2.2_3.0_1703901324556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cosmmb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cosmmb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cosmmb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cosmmb/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dannmacias_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dannmacias_en.md new file mode 100644 index 0000000000000..2fc78370348bc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dannmacias_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_dannmacias DistilBertForSequenceClassification from DannMacias +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_dannmacias +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dannmacias` is a English model originally trained by DannMacias. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dannmacias_en_5.2.2_3.0_1703914369942.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dannmacias_en_5.2.2_3.0_1703914369942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dannmacias","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dannmacias","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_dannmacias| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DannMacias/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davenull_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davenull_en.md new file mode 100644 index 0000000000000..0c685fc29098e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davenull_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_davenull DistilBertForSequenceClassification from davenull +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_davenull +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_davenull` is a English model originally trained by davenull. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davenull_en_5.2.2_3.0_1703914369737.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davenull_en_5.2.2_3.0_1703914369737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davenull","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davenull","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_davenull| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/davenull/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davidyinyang_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davidyinyang_en.md new file mode 100644 index 0000000000000..22c45af2bc4b6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_davidyinyang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_davidyinyang DistilBertForSequenceClassification from davidyinyang +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_davidyinyang +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_davidyinyang` is a English model originally trained by davidyinyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davidyinyang_en_5.2.2_3.0_1703896913159.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davidyinyang_en_5.2.2_3.0_1703896913159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davidyinyang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davidyinyang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_davidyinyang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/davidyinyang/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dev_ninja_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dev_ninja_en.md new file mode 100644 index 0000000000000..967e59d39c8f6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dev_ninja_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_dev_ninja DistilBertForSequenceClassification from dev-ninja +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_dev_ninja +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dev_ninja` is a English model originally trained by dev-ninja. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dev_ninja_en_5.2.2_3.0_1703908838922.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dev_ninja_en_5.2.2_3.0_1703908838922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dev_ninja","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dev_ninja","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_dev_ninja| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dev-ninja/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dhisnemo_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dhisnemo_en.md new file mode 100644 index 0000000000000..a964aed603338 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dhisnemo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_dhisnemo DistilBertForSequenceClassification from DHISNEMO +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_dhisnemo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dhisnemo` is a English model originally trained by DHISNEMO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dhisnemo_en_5.2.2_3.0_1703906544342.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dhisnemo_en_5.2.2_3.0_1703906544342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dhisnemo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dhisnemo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_dhisnemo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DHISNEMO/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dinonuggetdog_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dinonuggetdog_en.md new file mode 100644 index 0000000000000..af70ba34d27e2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_dinonuggetdog_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_dinonuggetdog DistilBertForSequenceClassification from DinoNuggetDog +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_dinonuggetdog +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dinonuggetdog` is a English model originally trained by DinoNuggetDog. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dinonuggetdog_en_5.2.2_3.0_1703936047921.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dinonuggetdog_en_5.2.2_3.0_1703936047921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dinonuggetdog","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_dinonuggetdog","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_dinonuggetdog| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DinoNuggetDog/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_donbish_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_donbish_en.md new file mode 100644 index 0000000000000..f93afda0476fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_donbish_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_donbish DistilBertForSequenceClassification from donbish +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_donbish +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_donbish` is a English model originally trained by donbish. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_donbish_en_5.2.2_3.0_1703900102390.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_donbish_en_5.2.2_3.0_1703900102390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_donbish","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_donbish","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_donbish| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/donbish/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_el_sebastor_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_el_sebastor_en.md new file mode 100644 index 0000000000000..74d6d0a3f2b73 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_el_sebastor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_el_sebastor DistilBertForSequenceClassification from el-sebastor +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_el_sebastor +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_el_sebastor` is a English model originally trained by el-sebastor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_el_sebastor_en_5.2.2_3.0_1703903154004.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_el_sebastor_en_5.2.2_3.0_1703903154004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_el_sebastor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_el_sebastor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_el_sebastor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/el-sebastor/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elberaguilar_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elberaguilar_en.md new file mode 100644 index 0000000000000..b90776232b78c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elberaguilar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_elberaguilar DistilBertForSequenceClassification from elberaguilar +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_elberaguilar +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_elberaguilar` is a English model originally trained by elberaguilar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_elberaguilar_en_5.2.2_3.0_1703897455072.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_elberaguilar_en_5.2.2_3.0_1703897455072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_elberaguilar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_elberaguilar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_elberaguilar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/elberaguilar/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elijahsum_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elijahsum_en.md new file mode 100644 index 0000000000000..cc746cf2edecc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_elijahsum_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_elijahsum DistilBertForSequenceClassification from ElijahSum +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_elijahsum +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_elijahsum` is a English model originally trained by ElijahSum. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_elijahsum_en_5.2.2_3.0_1703899922314.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_elijahsum_en_5.2.2_3.0_1703899922314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_elijahsum","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_elijahsum","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_elijahsum| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ElijahSum/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_eshy16_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_eshy16_en.md new file mode 100644 index 0000000000000..953c45ff23181 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_eshy16_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_eshy16 DistilBertForSequenceClassification from Eshy16 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_eshy16 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_eshy16` is a English model originally trained by Eshy16. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eshy16_en_5.2.2_3.0_1703965868791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eshy16_en_5.2.2_3.0_1703965868791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eshy16","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eshy16","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_eshy16| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Eshy16/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_falvarez_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_falvarez_en.md new file mode 100644 index 0000000000000..1e45f80b03248 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_falvarez_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_falvarez DistilBertForSequenceClassification from falvarez +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_falvarez +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_falvarez` is a English model originally trained by falvarez. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_falvarez_en_5.2.2_3.0_1703899303198.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_falvarez_en_5.2.2_3.0_1703899303198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_falvarez","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_falvarez","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_falvarez| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/falvarez/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_fusion_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_fusion_en.md new file mode 100644 index 0000000000000..178076054561d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_fusion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_fusion DistilBertForSequenceClassification from Rbaudeu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_fusion +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_fusion` is a English model originally trained by Rbaudeu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_fusion_en_5.2.2_3.0_1703965571258.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_fusion_en_5.2.2_3.0_1703965571258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_fusion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_fusion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_fusion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Rbaudeu/finetuning-sentiment-model-3000-samples-fusion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_galinaakoury2003_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_galinaakoury2003_en.md new file mode 100644 index 0000000000000..a7b8647c81100 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_galinaakoury2003_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_galinaakoury2003 DistilBertForSequenceClassification from galinaakoury2003 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_galinaakoury2003 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_galinaakoury2003` is a English model originally trained by galinaakoury2003. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_galinaakoury2003_en_5.2.2_3.0_1703897581636.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_galinaakoury2003_en_5.2.2_3.0_1703897581636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_galinaakoury2003","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_galinaakoury2003","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_galinaakoury2003| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/galinaakoury2003/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_gmw123_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_gmw123_en.md new file mode 100644 index 0000000000000..312c2f245a278 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_gmw123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_gmw123 DistilBertForSequenceClassification from GMW123 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_gmw123 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_gmw123` is a English model originally trained by GMW123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_gmw123_en_5.2.2_3.0_1703901278338.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_gmw123_en_5.2.2_3.0_1703901278338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_gmw123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_gmw123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_gmw123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/GMW123/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hamayun7333_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hamayun7333_en.md new file mode 100644 index 0000000000000..6a78e73d0f3b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hamayun7333_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hamayun7333 DistilBertForSequenceClassification from hamayun7333 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hamayun7333 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hamayun7333` is a English model originally trained by hamayun7333. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hamayun7333_en_5.2.2_3.0_1703965007092.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hamayun7333_en_5.2.2_3.0_1703965007092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hamayun7333","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hamayun7333","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hamayun7333| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hamayun7333/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hanieh24nj_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hanieh24nj_en.md new file mode 100644 index 0000000000000..5699d8fa16e66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hanieh24nj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hanieh24nj DistilBertForSequenceClassification from Hanieh24nj +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hanieh24nj +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hanieh24nj` is a English model originally trained by Hanieh24nj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hanieh24nj_en_5.2.2_3.0_1703934945339.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hanieh24nj_en_5.2.2_3.0_1703934945339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hanieh24nj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hanieh24nj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hanieh24nj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Hanieh24nj/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hieutrann0927_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hieutrann0927_en.md new file mode 100644 index 0000000000000..24a54c72d0b90 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hieutrann0927_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hieutrann0927 DistilBertForSequenceClassification from hieutrann0927 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hieutrann0927 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hieutrann0927` is a English model originally trained by hieutrann0927. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hieutrann0927_en_5.2.2_3.0_1703965281648.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hieutrann0927_en_5.2.2_3.0_1703965281648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hieutrann0927","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hieutrann0927","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hieutrann0927| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hieutrann0927/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hihell_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hihell_en.md new file mode 100644 index 0000000000000..30086349fc068 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hihell_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hihell DistilBertForSequenceClassification from hihell +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hihell +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hihell` is a English model originally trained by hihell. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hihell_en_5.2.2_3.0_1703912594887.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hihell_en_5.2.2_3.0_1703912594887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hihell","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hihell","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hihell| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hihell/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hyeamykim_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hyeamykim_en.md new file mode 100644 index 0000000000000..6a61d9b25e68f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_hyeamykim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hyeamykim DistilBertForSequenceClassification from hyeamykim +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hyeamykim +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hyeamykim` is a English model originally trained by hyeamykim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hyeamykim_en_5.2.2_3.0_1703899046420.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hyeamykim_en_5.2.2_3.0_1703899046420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hyeamykim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hyeamykim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hyeamykim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hyeamykim/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kajal12_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kajal12_en.md new file mode 100644 index 0000000000000..fc564bcfe0da8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kajal12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kajal12 DistilBertForSequenceClassification from kajal12 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kajal12 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kajal12` is a English model originally trained by kajal12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kajal12_en_5.2.2_3.0_1703951870835.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kajal12_en_5.2.2_3.0_1703951870835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kajal12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kajal12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kajal12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kajal12/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kedirahmed_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kedirahmed_en.md new file mode 100644 index 0000000000000..ae2db157e14ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kedirahmed_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kedirahmed DistilBertForSequenceClassification from KedirAhmed +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kedirahmed +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kedirahmed` is a English model originally trained by KedirAhmed. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kedirahmed_en_5.2.2_3.0_1703894998130.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kedirahmed_en_5.2.2_3.0_1703894998130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kedirahmed","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kedirahmed","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kedirahmed| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/KedirAhmed/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kweston_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kweston_en.md new file mode 100644 index 0000000000000..bd4c30ea8af8b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_kweston_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kweston DistilBertForSequenceClassification from kweston +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kweston +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kweston` is a English model originally trained by kweston. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kweston_en_5.2.2_3.0_1703935910265.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kweston_en_5.2.2_3.0_1703935910265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kweston","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kweston","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kweston| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kweston/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_lizong_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_lizong_en.md new file mode 100644 index 0000000000000..8bd90c5e0e218 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_lizong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_lizong DistilBertForSequenceClassification from Lizong +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_lizong +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lizong` is a English model originally trained by Lizong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lizong_en_5.2.2_3.0_1703903927147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lizong_en_5.2.2_3.0_1703903927147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lizong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_lizong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_lizong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Lizong/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madhav16_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madhav16_en.md new file mode 100644 index 0000000000000..ffbe468e7c73e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madhav16_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_madhav16 DistilBertForSequenceClassification from madhav16 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_madhav16 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_madhav16` is a English model originally trained by madhav16. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_madhav16_en_5.2.2_3.0_1703896477169.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_madhav16_en_5.2.2_3.0_1703896477169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_madhav16","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_madhav16","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_madhav16| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/madhav16/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madmancity_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madmancity_en.md new file mode 100644 index 0000000000000..355cfe5c8d710 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_madmancity_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_madmancity DistilBertForSequenceClassification from madmancity +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_madmancity +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_madmancity` is a English model originally trained by madmancity. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_madmancity_en_5.2.2_3.0_1703897584853.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_madmancity_en_5.2.2_3.0_1703897584853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_madmancity","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_madmancity","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_madmancity| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/madmancity/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_mahdinah_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_mahdinah_en.md new file mode 100644 index 0000000000000..702bd7b529025 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_mahdinah_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_mahdinah DistilBertForSequenceClassification from mahdinah +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_mahdinah +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mahdinah` is a English model originally trained by mahdinah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mahdinah_en_5.2.2_3.0_1703896127666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mahdinah_en_5.2.2_3.0_1703896127666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mahdinah","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_mahdinah","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_mahdinah| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mahdinah/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_maximef_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_maximef_en.md new file mode 100644 index 0000000000000..1e759a4a9dd9d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_maximef_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_maximef DistilBertForSequenceClassification from Maximef +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_maximef +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_maximef` is a English model originally trained by Maximef. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_maximef_en_5.2.2_3.0_1703907773714.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_maximef_en_5.2.2_3.0_1703907773714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_maximef","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_maximef","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_maximef| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Maximef/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_msaivikas_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_msaivikas_en.md new file mode 100644 index 0000000000000..d2333865f3ff4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_msaivikas_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_msaivikas DistilBertForSequenceClassification from msaivikas +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_msaivikas +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_msaivikas` is a English model originally trained by msaivikas. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_msaivikas_en_5.2.2_3.0_1703980224698.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_msaivikas_en_5.2.2_3.0_1703980224698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_msaivikas","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_msaivikas","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_msaivikas| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/msaivikas/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nguyenmanhbao_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nguyenmanhbao_en.md new file mode 100644 index 0000000000000..887be694ee9be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nguyenmanhbao_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nguyenmanhbao DistilBertForSequenceClassification from nguyenmanhbao +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nguyenmanhbao +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nguyenmanhbao` is a English model originally trained by nguyenmanhbao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nguyenmanhbao_en_5.2.2_3.0_1703949213455.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nguyenmanhbao_en_5.2.2_3.0_1703949213455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nguyenmanhbao","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nguyenmanhbao","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nguyenmanhbao| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nguyenmanhbao/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ninja3011_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ninja3011_en.md new file mode 100644 index 0000000000000..b8123377571e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_ninja3011_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ninja3011 DistilBertForSequenceClassification from ninja3011 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ninja3011 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ninja3011` is a English model originally trained by ninja3011. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ninja3011_en_5.2.2_3.0_1703951115420.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ninja3011_en_5.2.2_3.0_1703951115420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ninja3011","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ninja3011","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ninja3011| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ninja3011/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_niun68_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_niun68_en.md new file mode 100644 index 0000000000000..59aaad73890a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_niun68_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_niun68 DistilBertForSequenceClassification from niun68 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_niun68 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_niun68` is a English model originally trained by niun68. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_niun68_en_5.2.2_3.0_1703898720900.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_niun68_en_5.2.2_3.0_1703898720900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_niun68","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_niun68","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_niun68| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/niun68/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nored355_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nored355_en.md new file mode 100644 index 0000000000000..b2b2e1478c906 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_nored355_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nored355 DistilBertForSequenceClassification from nored355 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nored355 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nored355` is a English model originally trained by nored355. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nored355_en_5.2.2_3.0_1703904692207.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nored355_en_5.2.2_3.0_1703904692207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nored355","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nored355","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nored355| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nored355/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qbob_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qbob_en.md new file mode 100644 index 0000000000000..af49ccbb4458c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qbob_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_qbob DistilBertForSequenceClassification from qBob +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_qbob +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_qbob` is a English model originally trained by qBob. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qbob_en_5.2.2_3.0_1703934034254.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qbob_en_5.2.2_3.0_1703934034254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qbob","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qbob","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_qbob| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/qBob/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qn_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qn_en.md new file mode 100644 index 0000000000000..9fd50376d7e49 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_qn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_qn DistilBertForSequenceClassification from QN +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_qn +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_qn` is a English model originally trained by QN. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qn_en_5.2.2_3.0_1703934812058.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_qn_en_5.2.2_3.0_1703934812058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_qn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_qn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/QN/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rahulprakash999_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rahulprakash999_en.md new file mode 100644 index 0000000000000..fb762fc71cde6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rahulprakash999_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rahulprakash999 DistilBertForSequenceClassification from rahulprakash999 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rahulprakash999 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rahulprakash999` is a English model originally trained by rahulprakash999. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rahulprakash999_en_5.2.2_3.0_1703897447187.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rahulprakash999_en_5.2.2_3.0_1703897447187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rahulprakash999","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rahulprakash999","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rahulprakash999| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rahulprakash999/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_renjithman_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_renjithman_en.md new file mode 100644 index 0000000000000..9075fec08ada2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_renjithman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_renjithman DistilBertForSequenceClassification from renjithman +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_renjithman +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_renjithman` is a English model originally trained by renjithman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renjithman_en_5.2.2_3.0_1703895848234.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renjithman_en_5.2.2_3.0_1703895848234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_renjithman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_renjithman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_renjithman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/renjithman/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rsaad1784_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rsaad1784_en.md new file mode 100644 index 0000000000000..8976b4e6ff243 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_rsaad1784_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rsaad1784 DistilBertForSequenceClassification from rSaad1784 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rsaad1784 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rsaad1784` is a English model originally trained by rSaad1784. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rsaad1784_en_5.2.2_3.0_1703965411737.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rsaad1784_en_5.2.2_3.0_1703965411737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rsaad1784","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rsaad1784","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rsaad1784| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rSaad1784/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sattensil_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sattensil_en.md new file mode 100644 index 0000000000000..dc22940a39760 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sattensil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sattensil DistilBertForSequenceClassification from sattensil +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sattensil +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sattensil` is a English model originally trained by sattensil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sattensil_en_5.2.2_3.0_1703979369272.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sattensil_en_5.2.2_3.0_1703979369272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sattensil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sattensil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sattensil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sattensil/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sebucb_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sebucb_en.md new file mode 100644 index 0000000000000..a4cbc96e0297c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_sebucb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sebucb DistilBertForSequenceClassification from SebUCB +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sebucb +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sebucb` is a English model originally trained by SebUCB. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sebucb_en_5.2.2_3.0_1703941844087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sebucb_en_5.2.2_3.0_1703941844087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sebucb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sebucb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sebucb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SebUCB/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_shant_kel_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_shant_kel_en.md new file mode 100644 index 0000000000000..be77174c2292f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_shant_kel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_shant_kel DistilBertForSequenceClassification from shant-kel +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_shant_kel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_shant_kel` is a English model originally trained by shant-kel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shant_kel_en_5.2.2_3.0_1703896892690.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shant_kel_en_5.2.2_3.0_1703896892690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shant_kel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shant_kel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_shant_kel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/shant-kel/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_siddhi25_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_siddhi25_en.md new file mode 100644 index 0000000000000..9efccb2144037 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_siddhi25_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_siddhi25 DistilBertForSequenceClassification from siddhi25 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_siddhi25 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_siddhi25` is a English model originally trained by siddhi25. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_siddhi25_en_5.2.2_3.0_1703896000636.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_siddhi25_en_5.2.2_3.0_1703896000636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_siddhi25","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_siddhi25","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_siddhi25| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/siddhi25/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_stankrewinkel_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_stankrewinkel_en.md new file mode 100644 index 0000000000000..c364b75d33694 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_stankrewinkel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_stankrewinkel DistilBertForSequenceClassification from StanKrewinkel +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_stankrewinkel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_stankrewinkel` is a English model originally trained by StanKrewinkel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stankrewinkel_en_5.2.2_3.0_1703972848821.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stankrewinkel_en_5.2.2_3.0_1703972848821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_stankrewinkel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_stankrewinkel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_stankrewinkel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/StanKrewinkel/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_surya111_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_surya111_en.md new file mode 100644 index 0000000000000..76ba49add39d9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_surya111_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_surya111 DistilBertForSequenceClassification from surya111 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_surya111 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_surya111` is a English model originally trained by surya111. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_surya111_en_5.2.2_3.0_1703935628767.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_surya111_en_5.2.2_3.0_1703935628767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_surya111","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_surya111","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_surya111| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/surya111/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_task2_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_task2_en.md new file mode 100644 index 0000000000000..855ea7e2de1db --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_task2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_task2 DistilBertForSequenceClassification from JoeJYu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_task2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_task2` is a English model originally trained by JoeJYu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_task2_en_5.2.2_3.0_1703913341642.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_task2_en_5.2.2_3.0_1703913341642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_task2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_task2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_task2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JoeJYu/finetuning-sentiment-model-3000-samples-Task2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_xy1111_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_xy1111_en.md new file mode 100644 index 0000000000000..a151a1451dce0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_xy1111_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_xy1111 DistilBertForSequenceClassification from xy1111 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_xy1111 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_xy1111` is a English model originally trained by xy1111. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xy1111_en_5.2.2_3.0_1703936188983.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xy1111_en_5.2.2_3.0_1703936188983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_xy1111","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_xy1111","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_xy1111| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/xy1111/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yashwantk_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yashwantk_en.md new file mode 100644 index 0000000000000..28db09d4325a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yashwantk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yashwantk DistilBertForSequenceClassification from yashwantk +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yashwantk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yashwantk` is a English model originally trained by yashwantk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yashwantk_en_5.2.2_3.0_1703971409356.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yashwantk_en_5.2.2_3.0_1703971409356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yashwantk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yashwantk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yashwantk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yashwantk/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_youlun77_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_youlun77_en.md new file mode 100644 index 0000000000000..248c79607462d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_youlun77_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_youlun77 DistilBertForSequenceClassification from youlun77 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_youlun77 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_youlun77` is a English model originally trained by youlun77. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_youlun77_en_5.2.2_3.0_1703937274026.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_youlun77_en_5.2.2_3.0_1703937274026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_youlun77","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_youlun77","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_youlun77| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/youlun77/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yukta10_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yukta10_en.md new file mode 100644 index 0000000000000..8c74122b1801e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_yukta10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yukta10 DistilBertForSequenceClassification from yukta10 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yukta10 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yukta10` is a English model originally trained by yukta10. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yukta10_en_5.2.2_3.0_1703895144730.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yukta10_en_5.2.2_3.0_1703895144730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yukta10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yukta10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yukta10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yukta10/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zfox_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zfox_en.md new file mode 100644 index 0000000000000..2bdfdf11d23f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zfox_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zfox DistilBertForSequenceClassification from zfox +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zfox +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zfox` is a English model originally trained by zfox. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zfox_en_5.2.2_3.0_1703969085358.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zfox_en_5.2.2_3.0_1703969085358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zfox","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zfox","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zfox| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zfox/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zhjsg_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zhjsg_en.md new file mode 100644 index 0000000000000..dd0b59c0b6bb3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_3000_samples_zhjsg_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zhjsg DistilBertForSequenceClassification from zhjsg +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zhjsg +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zhjsg` is a English model originally trained by zhjsg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zhjsg_en_5.2.2_3.0_1703967496829.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zhjsg_en_5.2.2_3.0_1703967496829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zhjsg","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zhjsg","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zhjsg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zhjsg/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_13_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_13_en.md new file mode 100644 index 0000000000000..c5f4dcf1b0458 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_300_gpu_13 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: finetuning_sentiment_model_300_gpu_13 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_300_gpu_13` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_13_en_5.2.2_3.0_1703898336446.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_13_en_5.2.2_3.0_1703898336446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_300_gpu_13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/finetuning-sentiment-model-300-gpu-13 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_15_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_15_en.md new file mode 100644 index 0000000000000..705aea3a194f0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_300_gpu_15 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: finetuning_sentiment_model_300_gpu_15 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_300_gpu_15` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_15_en_5.2.2_3.0_1703936346014.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_15_en_5.2.2_3.0_1703936346014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_300_gpu_15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/finetuning-sentiment-model-300-gpu-15 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_9_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_9_en.md new file mode 100644 index 0000000000000..70e346e5d1a1e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_300_gpu_9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_300_gpu_9 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: finetuning_sentiment_model_300_gpu_9 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_300_gpu_9` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_9_en_5.2.2_3.0_1703941045506.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_9_en_5.2.2_3.0_1703941045506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_300_gpu_9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/finetuning-sentiment-model-300-gpu-9 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_imrelori_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_imrelori_en.md new file mode 100644 index 0000000000000..8a0adcfb35846 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_imrelori_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_5000_samples_imrelori DistilBertForSequenceClassification from imrelori +author: John Snow Labs +name: finetuning_sentiment_model_5000_samples_imrelori +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_samples_imrelori` is a English model originally trained by imrelori. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_imrelori_en_5.2.2_3.0_1703894481307.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_imrelori_en_5.2.2_3.0_1703894481307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_imrelori","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_imrelori","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_5000_samples_imrelori| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/imrelori/finetuning-sentiment-model-5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_jclynn_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_jclynn_en.md new file mode 100644 index 0000000000000..30ceca352d675 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_5000_samples_jclynn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_5000_samples_jclynn DistilBertForSequenceClassification from jclynn +author: John Snow Labs +name: finetuning_sentiment_model_5000_samples_jclynn +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_samples_jclynn` is a English model originally trained by jclynn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_jclynn_en_5.2.2_3.0_1703939570938.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_jclynn_en_5.2.2_3.0_1703939570938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_jclynn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_jclynn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_5000_samples_jclynn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jclynn/finetuning-sentiment-model-5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_6000_samples_nathanvoldman_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_6000_samples_nathanvoldman_en.md new file mode 100644 index 0000000000000..7aa53c5a99743 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_6000_samples_nathanvoldman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_6000_samples_nathanvoldman DistilBertForSequenceClassification from NathanVoldman +author: John Snow Labs +name: finetuning_sentiment_model_6000_samples_nathanvoldman +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_6000_samples_nathanvoldman` is a English model originally trained by NathanVoldman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_nathanvoldman_en_5.2.2_3.0_1703965431369.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_nathanvoldman_en_5.2.2_3.0_1703965431369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_6000_samples_nathanvoldman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_6000_samples_nathanvoldman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_6000_samples_nathanvoldman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NathanVoldman/finetuning-sentiment-model-6000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_7000_samples_en.md new file mode 100644 index 0000000000000..5bf85a923a1fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_7000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_7000_samples DistilBertForSequenceClassification from HarshV9 +author: John Snow Labs +name: finetuning_sentiment_model_7000_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_7000_samples` is a English model originally trained by HarshV9. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_7000_samples_en_5.2.2_3.0_1703974697500.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_7000_samples_en_5.2.2_3.0_1703974697500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_7000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_7000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_7000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HarshV9/finetuning-sentiment-model-7000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8800_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8800_samples_en.md new file mode 100644 index 0000000000000..1b71d7f411c1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8800_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_8800_samples DistilBertForSequenceClassification from NullT +author: John Snow Labs +name: finetuning_sentiment_model_8800_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_8800_samples` is a English model originally trained by NullT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_8800_samples_en_5.2.2_3.0_1703895327626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_8800_samples_en_5.2.2_3.0_1703895327626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_8800_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_8800_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_8800_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NullT/finetuning-sentiment-model-8800-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8_labels_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8_labels_en.md new file mode 100644 index 0000000000000..61c03fd45991a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_8_labels_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_8_labels DistilBertForSequenceClassification from HarshV9 +author: John Snow Labs +name: finetuning_sentiment_model_8_labels +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_8_labels` is a English model originally trained by HarshV9. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_8_labels_en_5.2.2_3.0_1703934786435.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_8_labels_en_5.2.2_3.0_1703934786435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_8_labels","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_8_labels","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_8_labels| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HarshV9/finetuning-sentiment-model-8-labels \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_all_imdb_samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_all_imdb_samples_en.md new file mode 100644 index 0000000000000..d78f0d61a60f7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_all_imdb_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_all_imdb_samples DistilBertForSequenceClassification from xyu1163 +author: John Snow Labs +name: finetuning_sentiment_model_all_imdb_samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_all_imdb_samples` is a English model originally trained by xyu1163. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_all_imdb_samples_en_5.2.2_3.0_1703944679149.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_all_imdb_samples_en_5.2.2_3.0_1703944679149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_all_imdb_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_all_imdb_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_all_imdb_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/xyu1163/finetuning-sentiment-model-all-imdb-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_a01137646_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_a01137646_en.md new file mode 100644 index 0000000000000..b8151d1578253 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_a01137646_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_a01137646 DistilBertForSequenceClassification from a01137646 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_a01137646 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_a01137646` is a English model originally trained by a01137646. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_a01137646_en_5.2.2_3.0_1703936213264.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_a01137646_en_5.2.2_3.0_1703936213264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_a01137646","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_a01137646","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_a01137646| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/a01137646/finetuning-sentiment-model-amazonbaby5000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_av_117_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_av_117_en.md new file mode 100644 index 0000000000000..334b27d28c5c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_av_117_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_av_117 DistilBertForSequenceClassification from AV-117 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_av_117 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_av_117` is a English model originally trained by AV-117. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_av_117_en_5.2.2_3.0_1703966520916.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_av_117_en_5.2.2_3.0_1703966520916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_av_117","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_av_117","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_av_117| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AV-117/finetuning-sentiment-model-amazonbaby5000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_leuserrrr_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_leuserrrr_en.md new file mode 100644 index 0000000000000..cf13f0ec8fe1d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_leuserrrr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_leuserrrr DistilBertForSequenceClassification from Leuserrrr +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_leuserrrr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_leuserrrr` is a English model originally trained by Leuserrrr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_leuserrrr_en_5.2.2_3.0_1703905448048.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_leuserrrr_en_5.2.2_3.0_1703905448048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_leuserrrr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_leuserrrr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_leuserrrr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Leuserrrr/finetuning-sentiment-model-amazonbaby5000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_rigovegae2_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_rigovegae2_en.md new file mode 100644 index 0000000000000..122d360121f14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby5000_rigovegae2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_rigovegae2 DistilBertForSequenceClassification from rigoVegaE2 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_rigovegae2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_rigovegae2` is a English model originally trained by rigoVegaE2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_rigovegae2_en_5.2.2_3.0_1703897914858.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_rigovegae2_en_5.2.2_3.0_1703897914858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_rigovegae2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_rigovegae2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_rigovegae2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rigoVegaE2/finetuning-sentiment-model-amazonbaby5000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5_en.md new file mode 100644 index 0000000000000..8328da67cb186 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5 DistilBertForSequenceClassification from JC9027 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5` is a English model originally trained by JC9027. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5_en_5.2.2_3.0_1703913450931.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5_en_5.2.2_3.0_1703913450931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby_5000samples_mna_nlp_eq5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JC9027/finetuning-sentiment-model-amazonbaby-5000samples-MNA-NLP-EQ5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_500samples_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_500samples_en.md new file mode 100644 index 0000000000000..fddc3827505a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_amazonbaby_500samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby_500samples DistilBertForSequenceClassification from JC9027 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby_500samples +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby_500samples` is a English model originally trained by JC9027. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_500samples_en_5.2.2_3.0_1703919658205.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_500samples_en_5.2.2_3.0_1703919658205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby_500samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby_500samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby_500samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JC9027/finetuning-sentiment-model-amazonbaby-500samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_asif1997_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_asif1997_en.md new file mode 100644 index 0000000000000..9dd278b670e23 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_asif1997_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_asif1997 DistilBertForSequenceClassification from Asif1997 +author: John Snow Labs +name: finetuning_sentiment_model_asif1997 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_asif1997` is a English model originally trained by Asif1997. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_asif1997_en_5.2.2_3.0_1703950194341.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_asif1997_en_5.2.2_3.0_1703950194341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_asif1997","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_asif1997","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_asif1997| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Asif1997/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_bryanswk_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_bryanswk_en.md new file mode 100644 index 0000000000000..2d236dc9ac3e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_bryanswk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_bryanswk DistilBertForSequenceClassification from BryanSwk +author: John Snow Labs +name: finetuning_sentiment_model_bryanswk +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_bryanswk` is a English model originally trained by BryanSwk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bryanswk_en_5.2.2_3.0_1703933669525.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bryanswk_en_5.2.2_3.0_1703933669525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_bryanswk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_bryanswk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_bryanswk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BryanSwk/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_distilbert_emgs_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_distilbert_emgs_en.md new file mode 100644 index 0000000000000..56f68aabdb3c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_distilbert_emgs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_distilbert_emgs DistilBertForSequenceClassification from emgs +author: John Snow Labs +name: finetuning_sentiment_model_distilbert_emgs +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_distilbert_emgs` is a English model originally trained by emgs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_distilbert_emgs_en_5.2.2_3.0_1703935373741.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_distilbert_emgs_en_5.2.2_3.0_1703935373741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_distilbert_emgs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_distilbert_emgs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_distilbert_emgs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/emgs/finetuning-sentiment-model-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_exist_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_exist_en.md new file mode 100644 index 0000000000000..620508a2a54e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_exist_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_exist DistilBertForSequenceClassification from jinhqian +author: John Snow Labs +name: finetuning_sentiment_model_exist +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_exist` is a English model originally trained by jinhqian. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_exist_en_5.2.2_3.0_1703964500031.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_exist_en_5.2.2_3.0_1703964500031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_exist","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_exist","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_exist| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jinhqian/finetuning-sentiment-model-EXIST \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_karina_aquino_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_karina_aquino_en.md new file mode 100644 index 0000000000000..19594f5eeb9bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_karina_aquino_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_karina_aquino DistilBertForSequenceClassification from karina-aquino +author: John Snow Labs +name: finetuning_sentiment_model_karina_aquino +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_karina_aquino` is a English model originally trained by karina-aquino. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_karina_aquino_en_5.2.2_3.0_1703936348791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_karina_aquino_en_5.2.2_3.0_1703936348791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_karina_aquino","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_karina_aquino","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_karina_aquino| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/karina-aquino/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_kurapikamcr_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_kurapikamcr_en.md new file mode 100644 index 0000000000000..9f709528b9a27 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_kurapikamcr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_kurapikamcr DistilBertForSequenceClassification from Kurapikamcr +author: John Snow Labs +name: finetuning_sentiment_model_kurapikamcr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_kurapikamcr` is a English model originally trained by Kurapikamcr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_kurapikamcr_en_5.2.2_3.0_1703901278099.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_kurapikamcr_en_5.2.2_3.0_1703901278099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_kurapikamcr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_kurapikamcr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_kurapikamcr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Kurapikamcr/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_raynguyent_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_raynguyent_en.md new file mode 100644 index 0000000000000..f7c49212dea9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_raynguyent_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_raynguyent DistilBertForSequenceClassification from RayNguyent +author: John Snow Labs +name: finetuning_sentiment_model_raynguyent +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_raynguyent` is a English model originally trained by RayNguyent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_raynguyent_en_5.2.2_3.0_1703900748482.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_raynguyent_en_5.2.2_3.0_1703900748482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_raynguyent","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_raynguyent","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_raynguyent| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RayNguyent/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_w_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_w_en.md new file mode 100644 index 0000000000000..ca030e3f3b91c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentiment_model_w_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_w DistilBertForSequenceClassification from Meow412 +author: John Snow Labs +name: finetuning_sentiment_model_w +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_w` is a English model originally trained by Meow412. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_w_en_5.2.2_3.0_1703897763212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_w_en_5.2.2_3.0_1703897763212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_w","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_w","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_w| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Meow412/finetuning-sentiment-model-w \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentimentanalysis_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentimentanalysis_model_en.md new file mode 100644 index 0000000000000..b96f449d94408 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_sentimentanalysis_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentimentanalysis_model DistilBertForSequenceClassification from MahmoudMohsen +author: John Snow Labs +name: finetuning_sentimentanalysis_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentimentanalysis_model` is a English model originally trained by MahmoudMohsen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentimentanalysis_model_en_5.2.2_3.0_1703933767470.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentimentanalysis_model_en_5.2.2_3.0_1703933767470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentimentanalysis_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentimentanalysis_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentimentanalysis_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/MahmoudMohsen/finetuning-SentimentAnalysis-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_spam_detection_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_spam_detection_model_en.md new file mode 100644 index 0000000000000..64469818ec089 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_spam_detection_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_spam_detection_model DistilBertForSequenceClassification from DicksonMassawe +author: John Snow Labs +name: finetuning_spam_detection_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_spam_detection_model` is a English model originally trained by DicksonMassawe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_spam_detection_model_en_5.2.2_3.0_1703943236447.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_spam_detection_model_en_5.2.2_3.0_1703943236447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_spam_detection_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_spam_detection_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_spam_detection_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DicksonMassawe/finetuning-spam-detection-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finetuning_women_clothing_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-finetuning_women_clothing_model_en.md new file mode 100644 index 0000000000000..e688e78ba87ea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finetuning_women_clothing_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_women_clothing_model DistilBertForSequenceClassification from Hafsa33 +author: John Snow Labs +name: finetuning_women_clothing_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_women_clothing_model` is a English model originally trained by Hafsa33. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_women_clothing_model_en_5.2.2_3.0_1703918093779.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_women_clothing_model_en_5.2.2_3.0_1703918093779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_women_clothing_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_women_clothing_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_women_clothing_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Hafsa33/finetuning-women_clothing-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-finituned_bert_en.md b/docs/_posts/ahmedlone127/2023-12-30-finituned_bert_en.md new file mode 100644 index 0000000000000..6bb8d8047bed5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-finituned_bert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finituned_bert DistilBertForSequenceClassification from DepositorOP +author: John Snow Labs +name: finituned_bert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finituned_bert` is a English model originally trained by DepositorOP. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finituned_bert_en_5.2.2_3.0_1703894484377.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finituned_bert_en_5.2.2_3.0_1703894484377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finituned_bert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finituned_bert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finituned_bert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DepositorOP/Finituned-bert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-gabor_lp_en.md b/docs/_posts/ahmedlone127/2023-12-30-gabor_lp_en.md new file mode 100644 index 0000000000000..3a9e91b911438 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-gabor_lp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English gabor_lp DistilBertForSequenceClassification from gaborcselle +author: John Snow Labs +name: gabor_lp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gabor_lp` is a English model originally trained by gaborcselle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gabor_lp_en_5.2.2_3.0_1703938003420.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gabor_lp_en_5.2.2_3.0_1703938003420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("gabor_lp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("gabor_lp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|gabor_lp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gaborcselle/gabor-lp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-general_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-general_sentiment_model_en.md new file mode 100644 index 0000000000000..b62ac314cd496 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-general_sentiment_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English general_sentiment_model DistilBertForSequenceClassification from Seethal +author: John Snow Labs +name: general_sentiment_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`general_sentiment_model` is a English model originally trained by Seethal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/general_sentiment_model_en_5.2.2_3.0_1703934827722.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/general_sentiment_model_en_5.2.2_3.0_1703934827722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("general_sentiment_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("general_sentiment_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|general_sentiment_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Seethal/general_sentiment_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-genrebert_en.md b/docs/_posts/ahmedlone127/2023-12-30-genrebert_en.md new file mode 100644 index 0000000000000..9a93d4b23f76e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-genrebert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English genrebert DistilBertForSequenceClassification from leireher +author: John Snow Labs +name: genrebert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genrebert` is a English model originally trained by leireher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genrebert_en_5.2.2_3.0_1703974823967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genrebert_en_5.2.2_3.0_1703974823967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("genrebert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("genrebert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|genrebert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|410.1 MB| + +## References + +https://huggingface.co/leireher/GenreBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913_en.md b/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913_en.md new file mode 100644 index 0000000000000..b8c30f61b956c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913 DistilBertForSequenceClassification from samaksh-khatri +author: John Snow Labs +name: gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913` is a English model originally trained by samaksh-khatri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913_en_5.2.2_3.0_1703936583598.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913_en_5.2.2_3.0_1703936583598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|gmra_model_distilbert_base_uncased_distilled_squad_17082023t150913| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/samaksh-khatri/gmra_model_distilbert-base-uncased-distilled-squad_17082023T150913 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553_en.md b/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553_en.md new file mode 100644 index 0000000000000..efdecfe4c675d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553 DistilBertForSequenceClassification from samaksh-khatri +author: John Snow Labs +name: gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553` is a English model originally trained by samaksh-khatri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553_en_5.2.2_3.0_1703964029542.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553_en_5.2.2_3.0_1703964029542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|gmra_model_distilbert_base_uncased_distilled_squad_17082023t151553| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/samaksh-khatri/gmra_model_distilbert-base-uncased-distilled-squad_17082023T151553 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-go_emotions_8_en.md b/docs/_posts/ahmedlone127/2023-12-30-go_emotions_8_en.md new file mode 100644 index 0000000000000..7acd011b636ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-go_emotions_8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English go_emotions_8 DistilBertForSequenceClassification from NBRZ +author: John Snow Labs +name: go_emotions_8 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`go_emotions_8` is a English model originally trained by NBRZ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/go_emotions_8_en_5.2.2_3.0_1703899927755.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/go_emotions_8_en_5.2.2_3.0_1703899927755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("go_emotions_8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("go_emotions_8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|go_emotions_8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NBRZ/go_emotions_8 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-grow_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-grow_classification_en.md new file mode 100644 index 0000000000000..25224915ae1a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-grow_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English grow_classification DistilBertForSequenceClassification from djifg +author: John Snow Labs +name: grow_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`grow_classification` is a English model originally trained by djifg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/grow_classification_en_5.2.2_3.0_1703943665995.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/grow_classification_en_5.2.2_3.0_1703943665995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("grow_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("grow_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|grow_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/djifg/grow_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hello_en.md b/docs/_posts/ahmedlone127/2023-12-30-hello_en.md new file mode 100644 index 0000000000000..15aff37fb9c79 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hello_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hello DistilBertForSequenceClassification from AmaiaSolaun +author: John Snow Labs +name: hello +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hello` is a English model originally trained by AmaiaSolaun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hello_en_5.2.2_3.0_1703904690141.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hello_en_5.2.2_3.0_1703904690141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hello","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hello","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hello| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AmaiaSolaun/hello \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hf_model_0_0_0_en.md b/docs/_posts/ahmedlone127/2023-12-30-hf_model_0_0_0_en.md new file mode 100644 index 0000000000000..935a427617259 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hf_model_0_0_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_0_0_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_0_0_0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_0_0_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_0_0_0_en_5.2.2_3.0_1703968186358.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_0_0_0_en_5.2.2_3.0_1703968186358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_0_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_0_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_0_0_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/hf-model-0-0-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hillel_finetuning_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-hillel_finetuning_sentiment_model_en.md new file mode 100644 index 0000000000000..c91844c27d11f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hillel_finetuning_sentiment_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hillel_finetuning_sentiment_model DistilBertForSequenceClassification from MaksymK +author: John Snow Labs +name: hillel_finetuning_sentiment_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hillel_finetuning_sentiment_model` is a English model originally trained by MaksymK. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hillel_finetuning_sentiment_model_en_5.2.2_3.0_1703942934850.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hillel_finetuning_sentiment_model_en_5.2.2_3.0_1703942934850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hillel_finetuning_sentiment_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hillel_finetuning_sentiment_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hillel_finetuning_sentiment_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MaksymK/hillel-finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hps_seed1_en.md b/docs/_posts/ahmedlone127/2023-12-30-hps_seed1_en.md new file mode 100644 index 0000000000000..a5ecb428d3199 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hps_seed1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hps_seed1 DistilBertForSequenceClassification from marcolatella +author: John Snow Labs +name: hps_seed1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hps_seed1` is a English model originally trained by marcolatella. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hps_seed1_en_5.2.2_3.0_1703896022849.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hps_seed1_en_5.2.2_3.0_1703896022849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hps_seed1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hps_seed1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hps_seed1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/marcolatella/Hps_seed1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_en.md b/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_en.md new file mode 100644 index 0000000000000..fb6314b8b5544 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hraf_multilabel DistilBertForSequenceClassification from Chantland +author: John Snow Labs +name: hraf_multilabel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hraf_multilabel` is a English model originally trained by Chantland. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hraf_multilabel_en_5.2.2_3.0_1703964778965.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hraf_multilabel_en_5.2.2_3.0_1703964778965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hraf_multilabel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hraf_multilabel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hraf_multilabel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chantland/Hraf_MultiLabel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_subclasses_en.md b/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_subclasses_en.md new file mode 100644 index 0000000000000..29b29b2017e4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hraf_multilabel_subclasses_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hraf_multilabel_subclasses DistilBertForSequenceClassification from Chantland +author: John Snow Labs +name: hraf_multilabel_subclasses +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hraf_multilabel_subclasses` is a English model originally trained by Chantland. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hraf_multilabel_subclasses_en_5.2.2_3.0_1703920410565.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hraf_multilabel_subclasses_en_5.2.2_3.0_1703920410565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hraf_multilabel_subclasses","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hraf_multilabel_subclasses","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hraf_multilabel_subclasses| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chantland/HRAF_Multilabel_SubClasses \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-hw1_model_distilbert_base_uncased_finetuned_sst2_en.md b/docs/_posts/ahmedlone127/2023-12-30-hw1_model_distilbert_base_uncased_finetuned_sst2_en.md new file mode 100644 index 0000000000000..af7d80a023f29 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-hw1_model_distilbert_base_uncased_finetuned_sst2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hw1_model_distilbert_base_uncased_finetuned_sst2 DistilBertForSequenceClassification from awariar +author: John Snow Labs +name: hw1_model_distilbert_base_uncased_finetuned_sst2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_model_distilbert_base_uncased_finetuned_sst2` is a English model originally trained by awariar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_model_distilbert_base_uncased_finetuned_sst2_en_5.2.2_3.0_1703946682395.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_model_distilbert_base_uncased_finetuned_sst2_en_5.2.2_3.0_1703946682395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_model_distilbert_base_uncased_finetuned_sst2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_model_distilbert_base_uncased_finetuned_sst2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hw1_model_distilbert_base_uncased_finetuned_sst2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/awariar/hw1_model_distilbert-base-uncased-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-i_o_1215_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-i_o_1215_2_en.md new file mode 100644 index 0000000000000..0371e157636af --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-i_o_1215_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English i_o_1215_2 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: i_o_1215_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`i_o_1215_2` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/i_o_1215_2_en_5.2.2_3.0_1703976189705.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/i_o_1215_2_en_5.2.2_3.0_1703976189705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("i_o_1215_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("i_o_1215_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|i_o_1215_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/i-o-1215-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_adapters_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_adapters_en.md new file mode 100644 index 0000000000000..9e0662bb0b9e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_adapters_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_adapters DistilBertForSequenceClassification from Steve-dennis +author: John Snow Labs +name: imdb_adapters +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_adapters` is a English model originally trained by Steve-dennis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_adapters_en_5.2.2_3.0_1703917500330.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_adapters_en_5.2.2_3.0_1703917500330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_adapters","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_adapters","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_adapters| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Steve-dennis/imdb_adapters \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_classifier_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_classifier_model_en.md new file mode 100644 index 0000000000000..271b42e9797b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_classifier_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_classifier_model DistilBertForSequenceClassification from ashusao +author: John Snow Labs +name: imdb_classifier_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_classifier_model` is a English model originally trained by ashusao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_classifier_model_en_5.2.2_3.0_1703898200933.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_classifier_model_en_5.2.2_3.0_1703898200933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_classifier_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_classifier_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_classifier_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ashusao/imdb_classifier_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_hf_tutorial_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_hf_tutorial_en.md new file mode 100644 index 0000000000000..53f3ff1068e77 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_hf_tutorial_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_hf_tutorial DistilBertForSequenceClassification from gosorio +author: John Snow Labs +name: imdb_hf_tutorial +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_hf_tutorial` is a English model originally trained by gosorio. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_hf_tutorial_en_5.2.2_3.0_1703915214038.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_hf_tutorial_en_5.2.2_3.0_1703915214038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_hf_tutorial","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_hf_tutorial","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_hf_tutorial| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gosorio/IMDB_HF-Tutorial \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_model_aayushmalik2708_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_model_aayushmalik2708_en.md new file mode 100644 index 0000000000000..aa1fca9061304 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_model_aayushmalik2708_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_model_aayushmalik2708 DistilBertForSequenceClassification from aayushmalik2708 +author: John Snow Labs +name: imdb_model_aayushmalik2708 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_model_aayushmalik2708` is a English model originally trained by aayushmalik2708. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_model_aayushmalik2708_en_5.2.2_3.0_1703965272016.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_model_aayushmalik2708_en_5.2.2_3.0_1703965272016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_model_aayushmalik2708","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_model_aayushmalik2708","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_model_aayushmalik2708| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aayushmalik2708/imdb_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_model_nlp_godfathers_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_model_nlp_godfathers_en.md new file mode 100644 index 0000000000000..b2a2eb7fd2c94 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_model_nlp_godfathers_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_model_nlp_godfathers DistilBertForSequenceClassification from nlp-godfathers +author: John Snow Labs +name: imdb_model_nlp_godfathers +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_model_nlp_godfathers` is a English model originally trained by nlp-godfathers. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_model_nlp_godfathers_en_5.2.2_3.0_1703952515119.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_model_nlp_godfathers_en_5.2.2_3.0_1703952515119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_model_nlp_godfathers","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_model_nlp_godfathers","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_model_nlp_godfathers| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nlp-godfathers/imdb_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdb_score_predict_distilbert2_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdb_score_predict_distilbert2_en.md new file mode 100644 index 0000000000000..7f59b00bc02af --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdb_score_predict_distilbert2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_score_predict_distilbert2 DistilBertForSequenceClassification from Mathnub +author: John Snow Labs +name: imdb_score_predict_distilbert2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_score_predict_distilbert2` is a English model originally trained by Mathnub. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_score_predict_distilbert2_en_5.2.2_3.0_1703901568686.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_score_predict_distilbert2_en_5.2.2_3.0_1703901568686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_score_predict_distilbert2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_score_predict_distilbert2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_score_predict_distilbert2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Mathnub/imdb-score-predict-distilbert2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-imdber_en.md b/docs/_posts/ahmedlone127/2023-12-30-imdber_en.md new file mode 100644 index 0000000000000..1677be7237bf8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-imdber_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdber DistilBertForSequenceClassification from askulkarni2 +author: John Snow Labs +name: imdber +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdber` is a English model originally trained by askulkarni2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdber_en_5.2.2_3.0_1703899487994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdber_en_5.2.2_3.0_1703899487994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdber","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdber","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdber| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/askulkarni2/imdber \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-ingbetic_en.md b/docs/_posts/ahmedlone127/2023-12-30-ingbetic_en.md new file mode 100644 index 0000000000000..98b5557d6a57f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-ingbetic_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ingbetic DistilBertForSequenceClassification from ziq +author: John Snow Labs +name: ingbetic +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ingbetic` is a English model originally trained by ziq. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ingbetic_en_5.2.2_3.0_1703967496868.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ingbetic_en_5.2.2_3.0_1703967496868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ingbetic","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ingbetic","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ingbetic| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ziq/ingbetic \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_common_ground_en.md b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_common_ground_en.md new file mode 100644 index 0000000000000..b249777d1cada --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_common_ground_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_common_ground DistilBertForSequenceClassification from Zain6699 +author: John Snow Labs +name: intent_classifier_common_ground +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_common_ground` is a English model originally trained by Zain6699. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_common_ground_en_5.2.2_3.0_1703901116440.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_common_ground_en_5.2.2_3.0_1703901116440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_common_ground","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_common_ground","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_common_ground| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zain6699/intent-classifier-common_ground \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_flattery_en.md b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_flattery_en.md new file mode 100644 index 0000000000000..bc75a6f06f618 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_flattery_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_flattery DistilBertForSequenceClassification from Zain6699 +author: John Snow Labs +name: intent_classifier_flattery +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_flattery` is a English model originally trained by Zain6699. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_flattery_en_5.2.2_3.0_1703964344646.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_flattery_en_5.2.2_3.0_1703964344646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_flattery","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_flattery","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_flattery| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zain6699/intent-classifier-flattery \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_personalization_en.md b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_personalization_en.md new file mode 100644 index 0000000000000..a8754be632d7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_personalization_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_personalization DistilBertForSequenceClassification from Zain6699 +author: John Snow Labs +name: intent_classifier_personalization +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_personalization` is a English model originally trained by Zain6699. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_personalization_en_5.2.2_3.0_1703950270964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_personalization_en_5.2.2_3.0_1703950270964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_personalization","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_personalization","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_personalization| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zain6699/intent-classifier-personalization \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_zain6699_en.md b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_zain6699_en.md new file mode 100644 index 0000000000000..823ab50f46877 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-intent_classifier_zain6699_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_zain6699 DistilBertForSequenceClassification from Zain6699 +author: John Snow Labs +name: intent_classifier_zain6699 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_zain6699` is a English model originally trained by Zain6699. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_zain6699_en_5.2.2_3.0_1703935547432.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_zain6699_en_5.2.2_3.0_1703935547432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_zain6699","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_zain6699","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_zain6699| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zain6699/intent-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-interlingua_detection_distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-12-30-interlingua_detection_distilbert_base_cased_en.md new file mode 100644 index 0000000000000..3a58b0114cd09 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-interlingua_detection_distilbert_base_cased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English interlingua_detection_distilbert_base_cased DistilBertForSequenceClassification from arincon +author: John Snow Labs +name: interlingua_detection_distilbert_base_cased +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interlingua_detection_distilbert_base_cased` is a English model originally trained by arincon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interlingua_detection_distilbert_base_cased_en_5.2.2_3.0_1703900786424.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interlingua_detection_distilbert_base_cased_en_5.2.2_3.0_1703900786424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("interlingua_detection_distilbert_base_cased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("interlingua_detection_distilbert_base_cased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|interlingua_detection_distilbert_base_cased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/arincon/ia-detection-distilbert-base-cased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-jewelleryreviews_en.md b/docs/_posts/ahmedlone127/2023-12-30-jewelleryreviews_en.md new file mode 100644 index 0000000000000..fa63749147cc3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-jewelleryreviews_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English jewelleryreviews DistilBertForSequenceClassification from sanskar +author: John Snow Labs +name: jewelleryreviews +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jewelleryreviews` is a English model originally trained by sanskar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jewelleryreviews_en_5.2.2_3.0_1703909998229.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jewelleryreviews_en_5.2.2_3.0_1703909998229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("jewelleryreviews","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("jewelleryreviews","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|jewelleryreviews| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sanskar/JewelleryReviews \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_evo_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_evo_claim_one_en.md new file mode 100644 index 0000000000000..6193acf5f36da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_evo_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_evo_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_evo_claim_one +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_evo_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_evo_claim_one_en_5.2.2_3.0_1703969085381.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_evo_claim_one_en_5.2.2_3.0_1703969085381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_evo_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_evo_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_evo_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_evo_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_planning_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_planning_claim_one_en.md new file mode 100644 index 0000000000000..942e68819d846 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_planning_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_planning_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_planning_claim_one +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_planning_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_planning_claim_one_en_5.2.2_3.0_1703917452700.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_planning_claim_one_en_5.2.2_3.0_1703917452700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_planning_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_planning_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_planning_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_planning_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_vision_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_vision_claim_one_en.md new file mode 100644 index 0000000000000..9b0bc037da6d2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-kinyarwanda_model_aipd_vision_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_vision_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_vision_claim_one +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_vision_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_vision_claim_one_en_5.2.2_3.0_1703938074371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_vision_claim_one_en_5.2.2_3.0_1703938074371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_vision_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_vision_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_vision_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_vision_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-languagemodelfinetuned_en.md b/docs/_posts/ahmedlone127/2023-12-30-languagemodelfinetuned_en.md new file mode 100644 index 0000000000000..b52b83b1444b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-languagemodelfinetuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English languagemodelfinetuned DistilBertForSequenceClassification from EthanD +author: John Snow Labs +name: languagemodelfinetuned +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`languagemodelfinetuned` is a English model originally trained by EthanD. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/languagemodelfinetuned_en_5.2.2_3.0_1703936599167.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/languagemodelfinetuned_en_5.2.2_3.0_1703936599167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("languagemodelfinetuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("languagemodelfinetuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|languagemodelfinetuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/EthanD/LanguageModelFineTuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-left_padding100model_en.md b/docs/_posts/ahmedlone127/2023-12-30-left_padding100model_en.md new file mode 100644 index 0000000000000..abcf3e3eb6b49 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-left_padding100model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding100model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding100model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding100model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding100model_en_5.2.2_3.0_1703973875786.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding100model_en_5.2.2_3.0_1703973875786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding100model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding100model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding100model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Realgon/left_padding100model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-leftcenterpartisan_en.md b/docs/_posts/ahmedlone127/2023-12-30-leftcenterpartisan_en.md new file mode 100644 index 0000000000000..12021170b8f5b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-leftcenterpartisan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English leftcenterpartisan DistilBertForSequenceClassification from spencerh +author: John Snow Labs +name: leftcenterpartisan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`leftcenterpartisan` is a English model originally trained by spencerh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/leftcenterpartisan_en_5.2.2_3.0_1703898218333.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/leftcenterpartisan_en_5.2.2_3.0_1703898218333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("leftcenterpartisan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("leftcenterpartisan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|leftcenterpartisan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/spencerh/leftcenterpartisan \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-linearprobing01_en.md b/docs/_posts/ahmedlone127/2023-12-30-linearprobing01_en.md new file mode 100644 index 0000000000000..308f8b710f031 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-linearprobing01_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English linearprobing01 DistilBertForSequenceClassification from ThatOnePallavi +author: John Snow Labs +name: linearprobing01 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`linearprobing01` is a English model originally trained by ThatOnePallavi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/linearprobing01_en_5.2.2_3.0_1703895304706.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/linearprobing01_en_5.2.2_3.0_1703895304706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("linearprobing01","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("linearprobing01","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|linearprobing01| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ThatOnePallavi/LinearProbing01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_en.md b/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_en.md new file mode 100644 index 0000000000000..444d43c808346 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_3_classes_seed_32 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_3_classes_seed_32 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_32` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_en_5.2.2_3.0_1703976936244.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_en_5.2.2_3.0_1703976936244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_3_classes_seed_32| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_3_classes_seed_32 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_v2_en.md b/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_v2_en.md new file mode 100644 index 0000000000000..55fa8cc25211f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-lkd_3_classes_seed_32_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_3_classes_seed_32_v2 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_3_classes_seed_32_v2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_32_v2` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_v2_en_5.2.2_3.0_1703936484920.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_v2_en_5.2.2_3.0_1703936484920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_3_classes_seed_32_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_3_classes_seed_32_v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv2_en.md b/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv2_en.md new file mode 100644 index 0000000000000..921bd7307555a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_experience_cv2 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_experience_cv2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_experience_cv2` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_experience_cv2_en_5.2.2_3.0_1703947669326.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_experience_cv2_en_5.2.2_3.0_1703947669326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_experience_cv2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_Experience_CV2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv4_en.md b/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv4_en.md new file mode 100644 index 0000000000000..60f41ea1d1665 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-lkd_experience_cv4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_experience_cv4 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_experience_cv4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_experience_cv4` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_experience_cv4_en_5.2.2_3.0_1703899305976.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_experience_cv4_en_5.2.2_3.0_1703899305976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_experience_cv4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_experience_cv4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_Experience_CV4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-m3_en.md b/docs/_posts/ahmedlone127/2023-12-30-m3_en.md new file mode 100644 index 0000000000000..482327d76c479 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-m3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English m3 DistilBertForSequenceClassification from abigailp +author: John Snow Labs +name: m3 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m3` is a English model originally trained by abigailp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m3_en_5.2.2_3.0_1703973557075.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m3_en_5.2.2_3.0_1703973557075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("m3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("m3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|m3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abigailp/m3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-m4t2_en.md b/docs/_posts/ahmedlone127/2023-12-30-m4t2_en.md new file mode 100644 index 0000000000000..0810d913cf9bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-m4t2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English m4t2 DistilBertForSequenceClassification from UVA-MSBA +author: John Snow Labs +name: m4t2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m4t2` is a English model originally trained by UVA-MSBA. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4t2_en_5.2.2_3.0_1703899775197.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4t2_en_5.2.2_3.0_1703899775197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("m4t2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("m4t2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|m4t2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/UVA-MSBA/M4T2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-main_sentiment_model_chats_2_labels_en.md b/docs/_posts/ahmedlone127/2023-12-30-main_sentiment_model_chats_2_labels_en.md new file mode 100644 index 0000000000000..74ace2d221763 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-main_sentiment_model_chats_2_labels_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English main_sentiment_model_chats_2_labels DistilBertForSequenceClassification from Freazling +author: John Snow Labs +name: main_sentiment_model_chats_2_labels +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`main_sentiment_model_chats_2_labels` is a English model originally trained by Freazling. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/main_sentiment_model_chats_2_labels_en_5.2.2_3.0_1703900931028.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/main_sentiment_model_chats_2_labels_en_5.2.2_3.0_1703900931028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("main_sentiment_model_chats_2_labels","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("main_sentiment_model_chats_2_labels","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|main_sentiment_model_chats_2_labels| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Freazling/main-sentiment-model-chats-2-labels \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-mbti_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-mbti_model_en.md new file mode 100644 index 0000000000000..f35397f20027b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-mbti_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mbti_model DistilBertForSequenceClassification from Centipede5 +author: John Snow Labs +name: mbti_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbti_model` is a English model originally trained by Centipede5. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbti_model_en_5.2.2_3.0_1703976404876.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbti_model_en_5.2.2_3.0_1703976404876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mbti_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mbti_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mbti_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Centipede5/mbti_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-medical2_en.md b/docs/_posts/ahmedlone127/2023-12-30-medical2_en.md new file mode 100644 index 0000000000000..41a47a2787394 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-medical2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English medical2 DistilBertForSequenceClassification from atom92 +author: John Snow Labs +name: medical2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical2` is a English model originally trained by atom92. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical2_en_5.2.2_3.0_1703935793933.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical2_en_5.2.2_3.0_1703935793933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("medical2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("medical2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|medical2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/atom92/medical2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-message_genre_en.md b/docs/_posts/ahmedlone127/2023-12-30-message_genre_en.md new file mode 100644 index 0000000000000..579fca261aca5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-message_genre_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English message_genre DistilBertForSequenceClassification from kearney +author: John Snow Labs +name: message_genre +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`message_genre` is a English model originally trained by kearney. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/message_genre_en_5.2.2_3.0_1703980128823.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/message_genre_en_5.2.2_3.0_1703980128823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("message_genre","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("message_genre","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|message_genre| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kearney/message-genre \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-milestone3_0_en.md b/docs/_posts/ahmedlone127/2023-12-30-milestone3_0_en.md new file mode 100644 index 0000000000000..1776cdb8add89 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-milestone3_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_0 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_0` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_0_en_5.2.2_3.0_1703952938129.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_0_en_5.2.2_3.0_1703952938129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-milestone3_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-milestone3_1_en.md new file mode 100644 index 0000000000000..b2f237761bb14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-milestone3_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_1 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_1` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_1_en_5.2.2_3.0_1703911756364.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_1_en_5.2.2_3.0_1703911756364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-milestone3_3_en.md b/docs/_posts/ahmedlone127/2023-12-30-milestone3_3_en.md new file mode 100644 index 0000000000000..ed4c33edf77eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-milestone3_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_3 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_3 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_3` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_3_en_5.2.2_3.0_1703938833015.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_3_en_5.2.2_3.0_1703938833015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-milestone3_4_en.md b/docs/_posts/ahmedlone127/2023-12-30-milestone3_4_en.md new file mode 100644 index 0000000000000..8f8f3f9ad2e34 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-milestone3_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_4 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_4` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_4_en_5.2.2_3.0_1703913341699.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_4_en_5.2.2_3.0_1703913341699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-minilm_finetuned_tickets_en.md b/docs/_posts/ahmedlone127/2023-12-30-minilm_finetuned_tickets_en.md new file mode 100644 index 0000000000000..37169965033ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-minilm_finetuned_tickets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English minilm_finetuned_tickets DistilBertForSequenceClassification from acacaca +author: John Snow Labs +name: minilm_finetuned_tickets +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_finetuned_tickets` is a English model originally trained by acacaca. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_tickets_en_5.2.2_3.0_1703968152146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_tickets_en_5.2.2_3.0_1703968152146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("minilm_finetuned_tickets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("minilm_finetuned_tickets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|minilm_finetuned_tickets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/acacaca/minilm-finetuned-tickets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_0_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_0_en.md new file mode 100644 index 0000000000000..3367377429799 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_0 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_0` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_0_en_5.2.2_3.0_1703900601500.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_0_en_5.2.2_3.0_1703900601500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_3_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_3_en.md new file mode 100644 index 0000000000000..54f0de8856835 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_3 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_3 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_3` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_3_en_5.2.2_3.0_1703973875788.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_3_en_5.2.2_3.0_1703973875788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_5_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_5_en.md new file mode 100644 index 0000000000000..ab74f3ce89582 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_5 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_5 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_5` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_5_en_5.2.2_3.0_1703903245387.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_5_en_5.2.2_3.0_1703903245387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_6_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_6_en.md new file mode 100644 index 0000000000000..80e5d27075f9b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_6_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_6 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_6 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_6` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_6_en_5.2.2_3.0_1703949565378.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_6_en_5.2.2_3.0_1703949565378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_6","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_6","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_6| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_6 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_7_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_7_en.md new file mode 100644 index 0000000000000..3051df6895c1f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_7 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_7 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_7` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_7_en_5.2.2_3.0_1703908922504.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_7_en_5.2.2_3.0_1703908922504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_7 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-model_intent_8_en.md b/docs/_posts/ahmedlone127/2023-12-30-model_intent_8_en.md new file mode 100644 index 0000000000000..fb0f40757392c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-model_intent_8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_8 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_8 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_8` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_8_en_5.2.2_3.0_1703901714888.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_8_en_5.2.2_3.0_1703901714888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_8 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-multilingual_distilbert_fnd_xx.md b/docs/_posts/ahmedlone127/2023-12-30-multilingual_distilbert_fnd_xx.md new file mode 100644 index 0000000000000..69328c42ed418 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-multilingual_distilbert_fnd_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual multilingual_distilbert_fnd DistilBertForSequenceClassification from begonil +author: John Snow Labs +name: multilingual_distilbert_fnd +date: 2023-12-30 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multilingual_distilbert_fnd` is a Multilingual model originally trained by begonil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_distilbert_fnd_xx_5.2.2_3.0_1703915214198.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_distilbert_fnd_xx_5.2.2_3.0_1703915214198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("multilingual_distilbert_fnd","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("multilingual_distilbert_fnd","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|multilingual_distilbert_fnd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/begonil/multilingual-distilBERT-FND \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-news_classification_sirirrr_en.md b/docs/_posts/ahmedlone127/2023-12-30-news_classification_sirirrr_en.md new file mode 100644 index 0000000000000..06fe9a3c087e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-news_classification_sirirrr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_classification_sirirrr DistilBertForSequenceClassification from SiriRRR +author: John Snow Labs +name: news_classification_sirirrr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classification_sirirrr` is a English model originally trained by SiriRRR. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classification_sirirrr_en_5.2.2_3.0_1703901486458.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classification_sirirrr_en_5.2.2_3.0_1703901486458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_classification_sirirrr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_classification_sirirrr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_classification_sirirrr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/SiriRRR/news-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-news_detector_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-news_detector_model_en.md new file mode 100644 index 0000000000000..6aebc2c1501cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-news_detector_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_detector_model DistilBertForSequenceClassification from sigoro +author: John Snow Labs +name: news_detector_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_detector_model` is a English model originally trained by sigoro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_detector_model_en_5.2.2_3.0_1703901453727.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_detector_model_en_5.2.2_3.0_1703901453727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_detector_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_detector_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_detector_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sigoro/news_detector_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-news_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-news_model_en.md new file mode 100644 index 0000000000000..e6c48d96f09c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-news_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_model DistilBertForSequenceClassification from julio-mm +author: John Snow Labs +name: news_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_model` is a English model originally trained by julio-mm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_model_en_5.2.2_3.0_1703899183270.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_model_en_5.2.2_3.0_1703899183270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/julio-mm/news_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-news_title_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-news_title_distilbert_en.md new file mode 100644 index 0000000000000..c151f8177f101 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-news_title_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_title_distilbert DistilBertForSequenceClassification from Varshitha +author: John Snow Labs +name: news_title_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_title_distilbert` is a English model originally trained by Varshitha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_title_distilbert_en_5.2.2_3.0_1703964949570.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_title_distilbert_en_5.2.2_3.0_1703964949570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_title_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_title_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_title_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Varshitha/News_Title_DistilBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-newsworthy_en.md b/docs/_posts/ahmedlone127/2023-12-30-newsworthy_en.md new file mode 100644 index 0000000000000..2f994db229a11 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-newsworthy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English newsworthy DistilBertForSequenceClassification from Bonosa2 +author: John Snow Labs +name: newsworthy +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`newsworthy` is a English model originally trained by Bonosa2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/newsworthy_en_5.2.2_3.0_1703948058684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/newsworthy_en_5.2.2_3.0_1703948058684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("newsworthy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("newsworthy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|newsworthy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Bonosa2/newsworthy \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-niko_lp_en.md b/docs/_posts/ahmedlone127/2023-12-30-niko_lp_en.md new file mode 100644 index 0000000000000..54283bcedb9d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-niko_lp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English niko_lp DistilBertForSequenceClassification from gaborcselle +author: John Snow Labs +name: niko_lp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`niko_lp` is a English model originally trained by gaborcselle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/niko_lp_en_5.2.2_3.0_1703905439298.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/niko_lp_en_5.2.2_3.0_1703905439298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("niko_lp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("niko_lp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|niko_lp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gaborcselle/niko-lp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-output_mohamedabdallah98_en.md b/docs/_posts/ahmedlone127/2023-12-30-output_mohamedabdallah98_en.md new file mode 100644 index 0000000000000..e16681f0036cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-output_mohamedabdallah98_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English output_mohamedabdallah98 DistilBertForSequenceClassification from MohamedAbdallah98 +author: John Snow Labs +name: output_mohamedabdallah98 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mohamedabdallah98` is a English model originally trained by MohamedAbdallah98. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_mohamedabdallah98_en_5.2.2_3.0_1703943236509.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_mohamedabdallah98_en_5.2.2_3.0_1703943236509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("output_mohamedabdallah98","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("output_mohamedabdallah98","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|output_mohamedabdallah98| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MohamedAbdallah98/output \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-output_notesnegex_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-output_notesnegex_classification_en.md new file mode 100644 index 0000000000000..218296df1f8cf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-output_notesnegex_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English output_notesnegex_classification DistilBertForSequenceClassification from vihaim +author: John Snow Labs +name: output_notesnegex_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_notesnegex_classification` is a English model originally trained by vihaim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_notesnegex_classification_en_5.2.2_3.0_1703934017834.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_notesnegex_classification_en_5.2.2_3.0_1703934017834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("output_notesnegex_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("output_notesnegex_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|output_notesnegex_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vihaim/output_notesnegex_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-oxml_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-oxml_1_en.md new file mode 100644 index 0000000000000..7b4f028d24d9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-oxml_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English oxml_1 DistilBertForSequenceClassification from sulpha +author: John Snow Labs +name: oxml_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`oxml_1` is a English model originally trained by sulpha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/oxml_1_en_5.2.2_3.0_1703898464058.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/oxml_1_en_5.2.2_3.0_1703898464058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("oxml_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("oxml_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|oxml_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sulpha/oxml_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-pfpc_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-pfpc_model_en.md new file mode 100644 index 0000000000000..b58d2b7fda3b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-pfpc_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English pfpc_model DistilBertForSequenceClassification from anth0nyhak1m +author: John Snow Labs +name: pfpc_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pfpc_model` is a English model originally trained by anth0nyhak1m. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pfpc_model_en_5.2.2_3.0_1703964328151.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pfpc_model_en_5.2.2_3.0_1703964328151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("pfpc_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("pfpc_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|pfpc_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anth0nyhak1m/PFPC_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-practice_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-30-practice_sentiment_analysis_en.md new file mode 100644 index 0000000000000..740d82e1e6832 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-practice_sentiment_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English practice_sentiment_analysis DistilBertForSequenceClassification from eki1381 +author: John Snow Labs +name: practice_sentiment_analysis +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`practice_sentiment_analysis` is a English model originally trained by eki1381. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practice_sentiment_analysis_en_5.2.2_3.0_1703971404281.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practice_sentiment_analysis_en_5.2.2_3.0_1703971404281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("practice_sentiment_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("practice_sentiment_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|practice_sentiment_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/eki1381/practice-sentiment-analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-primer_modelo_prueba_en.md b/docs/_posts/ahmedlone127/2023-12-30-primer_modelo_prueba_en.md new file mode 100644 index 0000000000000..fc72e5489826a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-primer_modelo_prueba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English primer_modelo_prueba DistilBertForSequenceClassification from jugonan202 +author: John Snow Labs +name: primer_modelo_prueba +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`primer_modelo_prueba` is a English model originally trained by jugonan202. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/primer_modelo_prueba_en_5.2.2_3.0_1703936039229.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/primer_modelo_prueba_en_5.2.2_3.0_1703936039229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("primer_modelo_prueba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("primer_modelo_prueba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|primer_modelo_prueba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jugonan202/primer-modelo-prueba \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-product_try2_norwegian_sugar_fold0_en.md b/docs/_posts/ahmedlone127/2023-12-30-product_try2_norwegian_sugar_fold0_en.md new file mode 100644 index 0000000000000..201b77ba3af52 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-product_try2_norwegian_sugar_fold0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English product_try2_norwegian_sugar_fold0 DistilBertForSequenceClassification from yanezh +author: John Snow Labs +name: product_try2_norwegian_sugar_fold0 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_try2_norwegian_sugar_fold0` is a English model originally trained by yanezh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_try2_norwegian_sugar_fold0_en_5.2.2_3.0_1703949565429.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_try2_norwegian_sugar_fold0_en_5.2.2_3.0_1703949565429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("product_try2_norwegian_sugar_fold0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("product_try2_norwegian_sugar_fold0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|product_try2_norwegian_sugar_fold0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yanezh/product_try2_no_sugar_fold0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-prophets_classifier_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-prophets_classifier_model_en.md new file mode 100644 index 0000000000000..d1848d00d7a3c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-prophets_classifier_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prophets_classifier_model DistilBertForSequenceClassification from Yonadav +author: John Snow Labs +name: prophets_classifier_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prophets_classifier_model` is a English model originally trained by Yonadav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prophets_classifier_model_en_5.2.2_3.0_1703935548328.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prophets_classifier_model_en_5.2.2_3.0_1703935548328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prophets_classifier_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prophets_classifier_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prophets_classifier_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Yonadav/prophets_classifier_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-prueba1_en.md b/docs/_posts/ahmedlone127/2023-12-30-prueba1_en.md new file mode 100644 index 0000000000000..69a0e13c2d1b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-prueba1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prueba1 DistilBertForSequenceClassification from manarea +author: John Snow Labs +name: prueba1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prueba1` is a English model originally trained by manarea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prueba1_en_5.2.2_3.0_1703944344478.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prueba1_en_5.2.2_3.0_1703944344478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prueba1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|196.4 MB| + +## References + +https://huggingface.co/manarea/prueba1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-q05_kaggle_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-q05_kaggle_distilbert_en.md new file mode 100644 index 0000000000000..10496d72db65d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-q05_kaggle_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q05_kaggle_distilbert DistilBertForSequenceClassification from wallacenpj +author: John Snow Labs +name: q05_kaggle_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q05_kaggle_distilbert` is a English model originally trained by wallacenpj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q05_kaggle_distilbert_en_5.2.2_3.0_1703896472007.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q05_kaggle_distilbert_en_5.2.2_3.0_1703896472007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q05_kaggle_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q05_kaggle_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q05_kaggle_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wallacenpj/q05_kaggle_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-qs_en.md b/docs/_posts/ahmedlone127/2023-12-30-qs_en.md new file mode 100644 index 0000000000000..c4bc1de048f5e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-qs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English qs DistilBertForSequenceClassification from amandaraeb +author: John Snow Labs +name: qs +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qs` is a English model originally trained by amandaraeb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qs_en_5.2.2_3.0_1703911932131.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qs_en_5.2.2_3.0_1703911932131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("qs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("qs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|qs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/amandaraeb/qs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-quality_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-30-quality_classifier_en.md new file mode 100644 index 0000000000000..1c833cd960261 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-quality_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English quality_classifier DistilBertForSequenceClassification from ryuno25 +author: John Snow Labs +name: quality_classifier +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quality_classifier` is a English model originally trained by ryuno25. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quality_classifier_en_5.2.2_3.0_1703900681078.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quality_classifier_en_5.2.2_3.0_1703900681078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("quality_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("quality_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|quality_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ryuno25/Quality_Classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-reddit_comment_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-30-reddit_comment_sentiment_en.md new file mode 100644 index 0000000000000..9c36c8740c398 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-reddit_comment_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English reddit_comment_sentiment DistilBertForSequenceClassification from AG6019 +author: John Snow Labs +name: reddit_comment_sentiment +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reddit_comment_sentiment` is a English model originally trained by AG6019. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_en_5.2.2_3.0_1703899490569.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_en_5.2.2_3.0_1703899490569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("reddit_comment_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("reddit_comment_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|reddit_comment_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AG6019/reddit-comment-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-responsible_iddistilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-12-30-responsible_iddistilbert_base_uncased_en.md new file mode 100644 index 0000000000000..f9d60cbc67b04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-responsible_iddistilbert_base_uncased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English responsible_iddistilbert_base_uncased DistilBertForSequenceClassification from mi23 +author: John Snow Labs +name: responsible_iddistilbert_base_uncased +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`responsible_iddistilbert_base_uncased` is a English model originally trained by mi23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/responsible_iddistilbert_base_uncased_en_5.2.2_3.0_1703896613805.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/responsible_iddistilbert_base_uncased_en_5.2.2_3.0_1703896613805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("responsible_iddistilbert_base_uncased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("responsible_iddistilbert_base_uncased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|responsible_iddistilbert_base_uncased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mi23/responsible_iddistilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_en.md new file mode 100644 index 0000000000000..7f959998c04fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English restore_training_data_model DistilBertForSequenceClassification from NathanVoldman +author: John Snow Labs +name: restore_training_data_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`restore_training_data_model` is a English model originally trained by NathanVoldman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/restore_training_data_model_en_5.2.2_3.0_1703900752206.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/restore_training_data_model_en_5.2.2_3.0_1703900752206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("restore_training_data_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("restore_training_data_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|restore_training_data_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NathanVoldman/restore-training-data-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_head_only_en.md b/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_head_only_en.md new file mode 100644 index 0000000000000..5a38237bb5b70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-restore_training_data_model_head_only_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English restore_training_data_model_head_only DistilBertForSequenceClassification from NathanVoldman +author: John Snow Labs +name: restore_training_data_model_head_only +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`restore_training_data_model_head_only` is a English model originally trained by NathanVoldman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/restore_training_data_model_head_only_en_5.2.2_3.0_1703972002100.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/restore_training_data_model_head_only_en_5.2.2_3.0_1703972002100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("restore_training_data_model_head_only","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("restore_training_data_model_head_only","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|restore_training_data_model_head_only| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NathanVoldman/restore-training-data-model-head-only \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-revsen_v1_en.md b/docs/_posts/ahmedlone127/2023-12-30-revsen_v1_en.md new file mode 100644 index 0000000000000..b07a3f5fca20e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-revsen_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English revsen_v1 DistilBertForSequenceClassification from HoussemMammeri +author: John Snow Labs +name: revsen_v1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`revsen_v1` is a English model originally trained by HoussemMammeri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/revsen_v1_en_5.2.2_3.0_1703897294543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/revsen_v1_en_5.2.2_3.0_1703897294543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("revsen_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("revsen_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|revsen_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HoussemMammeri/REVSEN-V1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-rewardmodel_en.md b/docs/_posts/ahmedlone127/2023-12-30-rewardmodel_en.md new file mode 100644 index 0000000000000..fa0610f618674 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-rewardmodel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rewardmodel DistilBertForSequenceClassification from SmallLion +author: John Snow Labs +name: rewardmodel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rewardmodel` is a English model originally trained by SmallLion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodel_en_5.2.2_3.0_1703917456280.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodel_en_5.2.2_3.0_1703917456280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rewardmodel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rewardmodel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rewardmodel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SmallLion/rewardmodel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-rightcenterpartisan_en.md b/docs/_posts/ahmedlone127/2023-12-30-rightcenterpartisan_en.md new file mode 100644 index 0000000000000..02f78f9fe7991 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-rightcenterpartisan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rightcenterpartisan DistilBertForSequenceClassification from spencerh +author: John Snow Labs +name: rightcenterpartisan +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rightcenterpartisan` is a English model originally trained by spencerh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rightcenterpartisan_en_5.2.2_3.0_1703909357824.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rightcenterpartisan_en_5.2.2_3.0_1703909357824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rightcenterpartisan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rightcenterpartisan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rightcenterpartisan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/spencerh/rightcenterpartisan \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-roberta_finetuned_sst2_en.md b/docs/_posts/ahmedlone127/2023-12-30-roberta_finetuned_sst2_en.md new file mode 100644 index 0000000000000..05bdc63e90a25 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-roberta_finetuned_sst2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English roberta_finetuned_sst2 DistilBertForSequenceClassification from DanNav +author: John Snow Labs +name: roberta_finetuned_sst2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_sst2` is a English model originally trained by DanNav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_sst2_en_5.2.2_3.0_1703895465837.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_sst2_en_5.2.2_3.0_1703895465837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_sst2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("roberta_finetuned_sst2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|roberta_finetuned_sst2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DanNav/roberta-finetuned-sst2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-rotten_tomatoes_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-30-rotten_tomatoes_sentiment_analysis_en.md new file mode 100644 index 0000000000000..775fe6b1004b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-rotten_tomatoes_sentiment_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rotten_tomatoes_sentiment_analysis DistilBertForSequenceClassification from liliaciolite +author: John Snow Labs +name: rotten_tomatoes_sentiment_analysis +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rotten_tomatoes_sentiment_analysis` is a English model originally trained by liliaciolite. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_sentiment_analysis_en_5.2.2_3.0_1703934166569.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_sentiment_analysis_en_5.2.2_3.0_1703934166569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rotten_tomatoes_sentiment_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rotten_tomatoes_sentiment_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rotten_tomatoes_sentiment_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/liliaciolite/rotten_tomatoes_sentiment_analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-safeway_item_categorization_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-safeway_item_categorization_model_en.md new file mode 100644 index 0000000000000..8074ac2c0b281 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-safeway_item_categorization_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English safeway_item_categorization_model DistilBertForSequenceClassification from iyanu773 +author: John Snow Labs +name: safeway_item_categorization_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`safeway_item_categorization_model` is a English model originally trained by iyanu773. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_en_5.2.2_3.0_1703965707248.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_en_5.2.2_3.0_1703965707248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|safeway_item_categorization_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/iyanu773/safeway_item_categorization_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_maxbarshay_en.md b/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_maxbarshay_en.md new file mode 100644 index 0000000000000..8d4f46325ef88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_maxbarshay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sagemaker_distilbert_emotion_maxbarshay DistilBertForSequenceClassification from maxbarshay +author: John Snow Labs +name: sagemaker_distilbert_emotion_maxbarshay +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_maxbarshay` is a English model originally trained by maxbarshay. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_maxbarshay_en_5.2.2_3.0_1703936479839.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_maxbarshay_en_5.2.2_3.0_1703936479839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sagemaker_distilbert_emotion_maxbarshay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sagemaker_distilbert_emotion_maxbarshay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sagemaker_distilbert_emotion_maxbarshay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/maxbarshay/sagemaker-distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_noelsinghsr_en.md b/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_noelsinghsr_en.md new file mode 100644 index 0000000000000..6a6429995c42f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sagemaker_distilbert_emotion_noelsinghsr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sagemaker_distilbert_emotion_noelsinghsr DistilBertForSequenceClassification from noelsinghsr +author: John Snow Labs +name: sagemaker_distilbert_emotion_noelsinghsr +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_noelsinghsr` is a English model originally trained by noelsinghsr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_noelsinghsr_en_5.2.2_3.0_1703899219803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_noelsinghsr_en_5.2.2_3.0_1703899219803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sagemaker_distilbert_emotion_noelsinghsr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sagemaker_distilbert_emotion_noelsinghsr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sagemaker_distilbert_emotion_noelsinghsr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/noelsinghsr/sagemaker-distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sbc_v1_en.md b/docs/_posts/ahmedlone127/2023-12-30-sbc_v1_en.md new file mode 100644 index 0000000000000..2de7b1e285a97 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sbc_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sbc_v1 DistilBertForSequenceClassification from HoussemMammeri +author: John Snow Labs +name: sbc_v1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbc_v1` is a English model originally trained by HoussemMammeri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbc_v1_en_5.2.2_3.0_1703899965773.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbc_v1_en_5.2.2_3.0_1703899965773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbc_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sbc_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sbc_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/HoussemMammeri/SBC-V1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-semana10_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-semana10_2_en.md new file mode 100644 index 0000000000000..fb265ca78c316 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-semana10_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English semana10_2 DistilBertForSequenceClassification from ALPHONSE28 +author: John Snow Labs +name: semana10_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`semana10_2` is a English model originally trained by ALPHONSE28. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/semana10_2_en_5.2.2_3.0_1703935188795.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/semana10_2_en_5.2.2_3.0_1703935188795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("semana10_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("semana10_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|semana10_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ALPHONSE28/SEMANA10_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-semana10_sintenticos_en.md b/docs/_posts/ahmedlone127/2023-12-30-semana10_sintenticos_en.md new file mode 100644 index 0000000000000..a9344c88f7890 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-semana10_sintenticos_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English semana10_sintenticos DistilBertForSequenceClassification from ALPHONSE28 +author: John Snow Labs +name: semana10_sintenticos +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`semana10_sintenticos` is a English model originally trained by ALPHONSE28. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/semana10_sintenticos_en_5.2.2_3.0_1703947389301.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/semana10_sintenticos_en_5.2.2_3.0_1703947389301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("semana10_sintenticos","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("semana10_sintenticos","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|semana10_sintenticos| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ALPHONSE28/SEMANA10_SINTENTICOS \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-semevalclickbaitspoilingnew_en.md b/docs/_posts/ahmedlone127/2023-12-30-semevalclickbaitspoilingnew_en.md new file mode 100644 index 0000000000000..621a667666fc2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-semevalclickbaitspoilingnew_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English semevalclickbaitspoilingnew DistilBertForSequenceClassification from VSPuzzler +author: John Snow Labs +name: semevalclickbaitspoilingnew +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`semevalclickbaitspoilingnew` is a English model originally trained by VSPuzzler. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/semevalclickbaitspoilingnew_en_5.2.2_3.0_1703902470474.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/semevalclickbaitspoilingnew_en_5.2.2_3.0_1703902470474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("semevalclickbaitspoilingnew","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("semevalclickbaitspoilingnew","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|semevalclickbaitspoilingnew| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_dinonuggetdog_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_dinonuggetdog_en.md new file mode 100644 index 0000000000000..4ec0d518db55a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_dinonuggetdog_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_dinonuggetdog DistilBertForSequenceClassification from DinoNuggetDog +author: John Snow Labs +name: sentiment_analysis_dinonuggetdog +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_dinonuggetdog` is a English model originally trained by DinoNuggetDog. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_dinonuggetdog_en_5.2.2_3.0_1703980488044.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_dinonuggetdog_en_5.2.2_3.0_1703980488044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_dinonuggetdog","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_dinonuggetdog","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_dinonuggetdog| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/DinoNuggetDog/sentiment-analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker_en.md new file mode 100644 index 0000000000000..8b58e601de5dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker DistilBertForSequenceClassification from awwalker +author: John Snow Labs +name: sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker` is a English model originally trained by awwalker. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker_en_5.2.2_3.0_1703935370427.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker_en_5.2.2_3.0_1703935370427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_generic_dataset_finetuned_solidarity_awwalker| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/awwalker/sentiment_analysis_generic_dataset-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao_en.md new file mode 100644 index 0000000000000..b1d678b5e5264 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao DistilBertForSequenceClassification from nikhilrao +author: John Snow Labs +name: sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao` is a English model originally trained by nikhilrao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao_en_5.2.2_3.0_1703951115619.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao_en_5.2.2_3.0_1703951115619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_generic_dataset_finetuned_solidarity_nikhilrao| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nikhilrao/sentiment_analysis_generic_dataset-finetuned-solidarity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_rogashbabu_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_rogashbabu_en.md new file mode 100644 index 0000000000000..c488a59640187 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_rogashbabu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_rogashbabu DistilBertForSequenceClassification from Rogashbabu +author: John Snow Labs +name: sentiment_analysis_rogashbabu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_rogashbabu` is a English model originally trained by Rogashbabu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_rogashbabu_en_5.2.2_3.0_1703935708473.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_rogashbabu_en_5.2.2_3.0_1703935708473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_rogashbabu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_rogashbabu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_rogashbabu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rogashbabu/sentiment_analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_tweets_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_tweets_2_en.md new file mode 100644 index 0000000000000..79c8ca3baf250 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_analysis_tweets_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_tweets_2 DistilBertForSequenceClassification from Asif1997 +author: John Snow Labs +name: sentiment_analysis_tweets_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_tweets_2` is a English model originally trained by Asif1997. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_tweets_2_en_5.2.2_3.0_1703943938761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_tweets_2_en_5.2.2_3.0_1703943938761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_tweets_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_tweets_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_tweets_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Asif1997/sentiment-analysis-tweets-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_model2012_1_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_model2012_1_en.md new file mode 100644 index 0000000000000..006697d124dd4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_model2012_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model2012_1 DistilBertForSequenceClassification from agdownes +author: John Snow Labs +name: sentiment_model2012_1 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model2012_1` is a English model originally trained by agdownes. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model2012_1_en_5.2.2_3.0_1703964654902.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model2012_1_en_5.2.2_3.0_1703964654902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model2012_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model2012_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model2012_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/agdownes/sentiment_model2012-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_model_hmullican_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_model_hmullican_en.md new file mode 100644 index 0000000000000..584857371bc4c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_model_hmullican_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_hmullican DistilBertForSequenceClassification from hmullican +author: John Snow Labs +name: sentiment_model_hmullican +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_hmullican` is a English model originally trained by hmullican. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_hmullican_en_5.2.2_3.0_1703933866780.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_hmullican_en_5.2.2_3.0_1703933866780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_hmullican","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_hmullican","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_hmullican| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hmullican/sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_temp_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_temp_en.md new file mode 100644 index 0000000000000..ca978cb86000e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_temp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_temp DistilBertForSequenceClassification from aXhyra +author: John Snow Labs +name: sentiment_temp +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_temp` is a English model originally trained by aXhyra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_temp_en_5.2.2_3.0_1703897428600.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_temp_en_5.2.2_3.0_1703897428600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_temp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_temp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_temp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aXhyra/sentiment_temp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_test22ssssss_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_test22ssssss_en.md new file mode 100644 index 0000000000000..8717ac1e2f25e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_test22ssssss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_test22ssssss DistilBertForSequenceClassification from manjinder +author: John Snow Labs +name: sentiment_test22ssssss +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_test22ssssss` is a English model originally trained by manjinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_test22ssssss_en_5.2.2_3.0_1703934800433.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_test22ssssss_en_5.2.2_3.0_1703934800433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test22ssssss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_test22ssssss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_test22ssssss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manjinder/sentiment_test22ssssss \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_v2_id.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_v2_id.md new file mode 100644 index 0000000000000..ed9e20ecd3d34 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_v2_id.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Indonesian sentiment_v2 DistilBertForSequenceClassification from risa-ai +author: John Snow Labs +name: sentiment_v2 +date: 2023-12-30 +tags: [bert, id, open_source, sequence_classification, onnx] +task: Text Classification +language: id +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_v2` is a Indonesian model originally trained by risa-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_v2_id_5.2.2_3.0_1703951759338.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_v2_id_5.2.2_3.0_1703951759338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_v2","id")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_v2","id") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|id| +|Size:|255.2 MB| + +## References + +https://huggingface.co/risa-ai/sentiment-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiment_w_own_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiment_w_own_dataset_en.md new file mode 100644 index 0000000000000..fdf9f89415373 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiment_w_own_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_w_own_dataset DistilBertForSequenceClassification from mwinterhalter +author: John Snow Labs +name: sentiment_w_own_dataset +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_w_own_dataset` is a English model originally trained by mwinterhalter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_w_own_dataset_en_5.2.2_3.0_1703896597389.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_w_own_dataset_en_5.2.2_3.0_1703896597389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_w_own_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_w_own_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_w_own_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mwinterhalter/sentiment_w_own_dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiments_analysis_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiments_analysis_distilbert_en.md new file mode 100644 index 0000000000000..12f8747a8d1ba --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiments_analysis_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiments_analysis_distilbert DistilBertForSequenceClassification from Junr-syl +author: John Snow Labs +name: sentiments_analysis_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiments_analysis_distilbert` is a English model originally trained by Junr-syl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiments_analysis_distilbert_en_5.2.2_3.0_1703917456256.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiments_analysis_distilbert_en_5.2.2_3.0_1703917456256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiments_analysis_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiments_analysis_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiments_analysis_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Junr-syl/sentiments_analysis_DISTILBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sentiments_dataset_381_classes_en.md b/docs/_posts/ahmedlone127/2023-12-30-sentiments_dataset_381_classes_en.md new file mode 100644 index 0000000000000..8330b698aff86 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sentiments_dataset_381_classes_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiments_dataset_381_classes DistilBertForSequenceClassification from Falah +author: John Snow Labs +name: sentiments_dataset_381_classes +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiments_dataset_381_classes` is a English model originally trained by Falah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiments_dataset_381_classes_en_5.2.2_3.0_1703901630704.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiments_dataset_381_classes_en_5.2.2_3.0_1703901630704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiments_dataset_381_classes","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiments_dataset_381_classes","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiments_dataset_381_classes| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.5 MB| + +## References + +https://huggingface.co/Falah/sentiments-dataset-381-classes \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sequence_classification_ducatte_en.md b/docs/_posts/ahmedlone127/2023-12-30-sequence_classification_ducatte_en.md new file mode 100644 index 0000000000000..504d81fa867ae --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sequence_classification_ducatte_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sequence_classification_ducatte DistilBertForSequenceClassification from ducatte +author: John Snow Labs +name: sequence_classification_ducatte +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sequence_classification_ducatte` is a English model originally trained by ducatte. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sequence_classification_ducatte_en_5.2.2_3.0_1703978313501.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sequence_classification_ducatte_en_5.2.2_3.0_1703978313501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sequence_classification_ducatte","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sequence_classification_ducatte","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sequence_classification_ducatte| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ducatte/sequence_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-signals_en.md b/docs/_posts/ahmedlone127/2023-12-30-signals_en.md new file mode 100644 index 0000000000000..7c62b55630265 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-signals_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English signals DistilBertForSequenceClassification from UVA-MSBA +author: John Snow Labs +name: signals +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`signals` is a English model originally trained by UVA-MSBA. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/signals_en_5.2.2_3.0_1703904774183.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/signals_en_5.2.2_3.0_1703904774183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("signals","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("signals","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|signals| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/UVA-MSBA/Signals \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-smashing_sexism_en.md b/docs/_posts/ahmedlone127/2023-12-30-smashing_sexism_en.md new file mode 100644 index 0000000000000..783e6e1f4e374 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-smashing_sexism_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English smashing_sexism DistilBertForSequenceClassification from nan-dre +author: John Snow Labs +name: smashing_sexism +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smashing_sexism` is a English model originally trained by nan-dre. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smashing_sexism_en_5.2.2_3.0_1703896733583.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smashing_sexism_en_5.2.2_3.0_1703896733583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("smashing_sexism","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("smashing_sexism","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|smashing_sexism| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|308.2 MB| + +## References + +https://huggingface.co/nan-dre/smashing-sexism \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-smishdistilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-smishdistilbert_en.md new file mode 100644 index 0000000000000..0a2367ce1aa31 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-smishdistilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English smishdistilbert DistilBertForSequenceClassification from tiya1012 +author: John Snow Labs +name: smishdistilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smishdistilbert` is a English model originally trained by tiya1012. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smishdistilbert_en_5.2.2_3.0_1703899780147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smishdistilbert_en_5.2.2_3.0_1703899780147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("smishdistilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("smishdistilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|smishdistilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tiya1012/smishdistilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-sms_spam_detection_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-sms_spam_detection_distilbert_en.md new file mode 100644 index 0000000000000..b216e1118ea44 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-sms_spam_detection_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sms_spam_detection_distilbert DistilBertForSequenceClassification from dima806 +author: John Snow Labs +name: sms_spam_detection_distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_spam_detection_distilbert` is a English model originally trained by dima806. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_spam_detection_distilbert_en_5.2.2_3.0_1703900092884.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_spam_detection_distilbert_en_5.2.2_3.0_1703900092884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_spam_detection_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_spam_detection_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sms_spam_detection_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/dima806/sms-spam-detection-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-snhv2_en.md b/docs/_posts/ahmedlone127/2023-12-30-snhv2_en.md new file mode 100644 index 0000000000000..9b692c7f0ea7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-snhv2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English snhv2 DistilBertForSequenceClassification from liamvbetts +author: John Snow Labs +name: snhv2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snhv2` is a English model originally trained by liamvbetts. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snhv2_en_5.2.2_3.0_1703905447998.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snhv2_en_5.2.2_3.0_1703905447998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("snhv2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("snhv2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|snhv2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/liamvbetts/SNHv2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-t2l1distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-30-t2l1distilbert_en.md new file mode 100644 index 0000000000000..6f7bde91af364 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-t2l1distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English t2l1distilbert DistilBertForSequenceClassification from carbonnnnn +author: John Snow Labs +name: t2l1distilbert +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t2l1distilbert` is a English model originally trained by carbonnnnn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t2l1distilbert_en_5.2.2_3.0_1703897147875.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t2l1distilbert_en_5.2.2_3.0_1703897147875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("t2l1distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("t2l1distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|t2l1distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/carbonnnnn/T2L1DISTILBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-task1a_en.md b/docs/_posts/ahmedlone127/2023-12-30-task1a_en.md new file mode 100644 index 0000000000000..aa1507b87c9a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-task1a_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English task1a DistilBertForSequenceClassification from cedomin +author: John Snow Labs +name: task1a +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`task1a` is a English model originally trained by cedomin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task1a_en_5.2.2_3.0_1703896293827.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task1a_en_5.2.2_3.0_1703896293827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("task1a","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("task1a","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|task1a| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cedomin/Task1a \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-team11m4_en.md b/docs/_posts/ahmedlone127/2023-12-30-team11m4_en.md new file mode 100644 index 0000000000000..a784988329a97 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-team11m4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English team11m4 DistilBertForSequenceClassification from UVA-MSBA +author: John Snow Labs +name: team11m4 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`team11m4` is a English model originally trained by UVA-MSBA. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/team11m4_en_5.2.2_3.0_1703965873496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/team11m4_en_5.2.2_3.0_1703965873496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("team11m4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("team11m4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|team11m4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/UVA-MSBA/Team11M4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-test_automatic_411_en.md b/docs/_posts/ahmedlone127/2023-12-30-test_automatic_411_en.md new file mode 100644 index 0000000000000..5a86c29103343 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-test_automatic_411_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_automatic_411 DistilBertForSequenceClassification from hucruz +author: John Snow Labs +name: test_automatic_411 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_automatic_411` is a English model originally trained by hucruz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_automatic_411_en_5.2.2_3.0_1703896306932.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_automatic_411_en_5.2.2_3.0_1703896306932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_automatic_411","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_automatic_411","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_automatic_411| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/hucruz/test-automatic-411 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-test_class_en.md b/docs/_posts/ahmedlone127/2023-12-30-test_class_en.md new file mode 100644 index 0000000000000..0afb084aa65c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-test_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_class DistilBertForSequenceClassification from breadlicker45 +author: John Snow Labs +name: test_class +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_class` is a English model originally trained by breadlicker45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_class_en_5.2.2_3.0_1703974753949.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_class_en_5.2.2_3.0_1703974753949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/breadlicker45/test-class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-test_model_davidfisher_en.md b/docs/_posts/ahmedlone127/2023-12-30-test_model_davidfisher_en.md new file mode 100644 index 0000000000000..b2746eac937d0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-test_model_davidfisher_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_model_davidfisher DistilBertForSequenceClassification from davidfisher +author: John Snow Labs +name: test_model_davidfisher +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_davidfisher` is a English model originally trained by davidfisher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_davidfisher_en_5.2.2_3.0_1703966354594.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_davidfisher_en_5.2.2_3.0_1703966354594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_davidfisher","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_davidfisher","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_model_davidfisher| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/davidfisher/test_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-test_nunthapong_en.md b/docs/_posts/ahmedlone127/2023-12-30-test_nunthapong_en.md new file mode 100644 index 0000000000000..cc90a28431323 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-test_nunthapong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_nunthapong DistilBertForSequenceClassification from nunthapong +author: John Snow Labs +name: test_nunthapong +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_nunthapong` is a English model originally trained by nunthapong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_nunthapong_en_5.2.2_3.0_1703900456738.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_nunthapong_en_5.2.2_3.0_1703900456738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_nunthapong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_nunthapong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_nunthapong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nunthapong/test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-test_trainer_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-test_trainer_2_en.md new file mode 100644 index 0000000000000..cad29bcf7bcdd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-test_trainer_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_trainer_2 DistilBertForSequenceClassification from qwekuaryee +author: John Snow Labs +name: test_trainer_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_2` is a English model originally trained by qwekuaryee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_2_en_5.2.2_3.0_1703978628241.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_2_en_5.2.2_3.0_1703978628241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_trainer_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_trainer_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_trainer_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/qwekuaryee/test_trainer_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-testmodel_gvin_en.md b/docs/_posts/ahmedlone127/2023-12-30-testmodel_gvin_en.md new file mode 100644 index 0000000000000..7d67f545c8b22 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-testmodel_gvin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English testmodel_gvin DistilBertForSequenceClassification from gvin +author: John Snow Labs +name: testmodel_gvin +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testmodel_gvin` is a English model originally trained by gvin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testmodel_gvin_en_5.2.2_3.0_1703895322345.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testmodel_gvin_en_5.2.2_3.0_1703895322345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_gvin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_gvin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|testmodel_gvin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gvin/testmodel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-testmodel_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-30-testmodel_sentiment_en.md new file mode 100644 index 0000000000000..062e5421f2196 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-testmodel_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English testmodel_sentiment DistilBertForSequenceClassification from xyu1163 +author: John Snow Labs +name: testmodel_sentiment +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testmodel_sentiment` is a English model originally trained by xyu1163. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testmodel_sentiment_en_5.2.2_3.0_1703941090559.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testmodel_sentiment_en_5.2.2_3.0_1703941090559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|testmodel_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/xyu1163/Testmodel_sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_casonshep_en.md b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_casonshep_en.md new file mode 100644 index 0000000000000..b952caa75c1bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_casonshep_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_yahoo_casonshep DistilBertForSequenceClassification from casonshep +author: John Snow Labs +name: text_classification_yahoo_casonshep +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_yahoo_casonshep` is a English model originally trained by casonshep. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_casonshep_en_5.2.2_3.0_1703908531500.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_casonshep_en_5.2.2_3.0_1703908531500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_casonshep","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_casonshep","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_yahoo_casonshep| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/casonshep/text_classification_yahoo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_elliechu_en.md b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_elliechu_en.md new file mode 100644 index 0000000000000..e9d2ef9535ef3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_elliechu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_yahoo_elliechu DistilBertForSequenceClassification from EllieChu +author: John Snow Labs +name: text_classification_yahoo_elliechu +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_yahoo_elliechu` is a English model originally trained by EllieChu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_elliechu_en_5.2.2_3.0_1703917443634.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_elliechu_en_5.2.2_3.0_1703917443634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_elliechu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_elliechu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_yahoo_elliechu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/EllieChu/text_classification_yahoo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_gracechoii_en.md b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_gracechoii_en.md new file mode 100644 index 0000000000000..780a1748f9375 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-text_classification_yahoo_gracechoii_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_yahoo_gracechoii DistilBertForSequenceClassification from gracechoii +author: John Snow Labs +name: text_classification_yahoo_gracechoii +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_yahoo_gracechoii` is a English model originally trained by gracechoii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_gracechoii_en_5.2.2_3.0_1703965113327.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_yahoo_gracechoii_en_5.2.2_3.0_1703965113327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_gracechoii","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_yahoo_gracechoii","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_yahoo_gracechoii| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gracechoii/text_classification_yahoo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-tiny_jdc_en.md b/docs/_posts/ahmedlone127/2023-12-30-tiny_jdc_en.md new file mode 100644 index 0000000000000..3ad54add884f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-tiny_jdc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tiny_jdc DistilBertForSequenceClassification from tkuye +author: John Snow Labs +name: tiny_jdc +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_jdc` is a English model originally trained by tkuye. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_jdc_en_5.2.2_3.0_1703964613045.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_jdc_en_5.2.2_3.0_1703964613045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_jdc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tiny_jdc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tiny_jdc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|360.3 KB| + +## References + +https://huggingface.co/tkuye/tiny-jdc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-toxic_en.md b/docs/_posts/ahmedlone127/2023-12-30-toxic_en.md new file mode 100644 index 0000000000000..eb452602b3033 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-toxic_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English toxic DistilBertForSequenceClassification from MinzaKhan +author: John Snow Labs +name: toxic +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic` is a English model originally trained by MinzaKhan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_en_5.2.2_3.0_1703894711240.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_en_5.2.2_3.0_1703894711240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|toxic| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MinzaKhan/toxic \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-toxic_tweets_classification_en.md b/docs/_posts/ahmedlone127/2023-12-30-toxic_tweets_classification_en.md new file mode 100644 index 0000000000000..c1e3db41c956c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-toxic_tweets_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English toxic_tweets_classification DistilBertForSequenceClassification from Ariel8 +author: John Snow Labs +name: toxic_tweets_classification +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_tweets_classification` is a English model originally trained by Ariel8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_tweets_classification_en_5.2.2_3.0_1703972078220.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_tweets_classification_en_5.2.2_3.0_1703972078220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic_tweets_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("toxic_tweets_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|toxic_tweets_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ariel8/toxic-tweets-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-training_bert_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-training_bert_model_en.md new file mode 100644 index 0000000000000..fe6227c300c0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-training_bert_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English training_bert_model DistilBertForSequenceClassification from Brecon +author: John Snow Labs +name: training_bert_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_bert_model` is a English model originally trained by Brecon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_bert_model_en_5.2.2_3.0_1703952519313.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_bert_model_en_5.2.2_3.0_1703952519313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_bert_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_bert_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|training_bert_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Brecon/training_bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-training_dataset_all_files_final_en.md b/docs/_posts/ahmedlone127/2023-12-30-training_dataset_all_files_final_en.md new file mode 100644 index 0000000000000..413b65ec8c7fd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-training_dataset_all_files_final_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English training_dataset_all_files_final DistilBertForSequenceClassification from Atif-Memon +author: John Snow Labs +name: training_dataset_all_files_final +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_dataset_all_files_final` is a English model originally trained by Atif-Memon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_dataset_all_files_final_en_5.2.2_3.0_1703901797924.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_dataset_all_files_final_en_5.2.2_3.0_1703901797924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_dataset_all_files_final","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_dataset_all_files_final","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|training_dataset_all_files_final| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Atif-Memon/tRAINING-DATASET-All-files-final \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-training_master_bert_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-training_master_bert_model_en.md new file mode 100644 index 0000000000000..686676282f4a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-training_master_bert_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English training_master_bert_model DistilBertForSequenceClassification from Brecon +author: John Snow Labs +name: training_master_bert_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_master_bert_model` is a English model originally trained by Brecon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_master_bert_model_en_5.2.2_3.0_1703973036771.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_master_bert_model_en_5.2.2_3.0_1703973036771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_master_bert_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_master_bert_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|training_master_bert_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Brecon/training_master_bert_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-transcript_classification_2_en.md b/docs/_posts/ahmedlone127/2023-12-30-transcript_classification_2_en.md new file mode 100644 index 0000000000000..2ba8410cc5d4a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-transcript_classification_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English transcript_classification_2 DistilBertForSequenceClassification from aoshita +author: John Snow Labs +name: transcript_classification_2 +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transcript_classification_2` is a English model originally trained by aoshita. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transcript_classification_2_en_5.2.2_3.0_1703935395802.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transcript_classification_2_en_5.2.2_3.0_1703935395802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("transcript_classification_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("transcript_classification_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|transcript_classification_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aoshita/transcript_classification_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-tweet_sentiments_analysis_distilbert_penscola_en.md b/docs/_posts/ahmedlone127/2023-12-30-tweet_sentiments_analysis_distilbert_penscola_en.md new file mode 100644 index 0000000000000..db8e766c35584 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-tweet_sentiments_analysis_distilbert_penscola_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweet_sentiments_analysis_distilbert_penscola DistilBertForSequenceClassification from penscola +author: John Snow Labs +name: tweet_sentiments_analysis_distilbert_penscola +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_sentiments_analysis_distilbert_penscola` is a English model originally trained by penscola. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_penscola_en_5.2.2_3.0_1703900711394.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_sentiments_analysis_distilbert_penscola_en_5.2.2_3.0_1703900711394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_penscola","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_analysis_distilbert_penscola","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweet_sentiments_analysis_distilbert_penscola| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/penscola/tweet_sentiments_analysis_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-tweeteval_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-30-tweeteval_distilbert_5e_en.md new file mode 100644 index 0000000000000..133b2f6cf00e4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-tweeteval_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweeteval_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: tweeteval_distilbert_5e +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweeteval_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweeteval_distilbert_5e_en_5.2.2_3.0_1703895166709.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweeteval_distilbert_5e_en_5.2.2_3.0_1703895166709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweeteval_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweeteval_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweeteval_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/TweetEval_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_clear_en.md b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_clear_en.md new file mode 100644 index 0000000000000..21a8064b8fec9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_clear_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_sentiment_analysis_clear DistilBertForSequenceClassification from arkhakv +author: John Snow Labs +name: twitter_sentiment_analysis_clear +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis_clear` is a English model originally trained by arkhakv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_clear_en_5.2.2_3.0_1703979743947.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_clear_en_5.2.2_3.0_1703979743947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis_clear","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis_clear","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_sentiment_analysis_clear| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/arkhakv/Twitter-Sentiment-Analysis_clear \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_distilbert_base_uncased_en.md new file mode 100644 index 0000000000000..d958404421c2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_analysis_distilbert_base_uncased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_sentiment_analysis_distilbert_base_uncased DistilBertForSequenceClassification from hwang595 +author: John Snow Labs +name: twitter_sentiment_analysis_distilbert_base_uncased +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis_distilbert_base_uncased` is a English model originally trained by hwang595. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_distilbert_base_uncased_en_5.2.2_3.0_1703903951834.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_distilbert_base_uncased_en_5.2.2_3.0_1703903951834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis_distilbert_base_uncased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_analysis_distilbert_base_uncased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_sentiment_analysis_distilbert_base_uncased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hwang595/twitter-sentiment-analysis-distilbert-base-uncased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_model_distilbert_emgs_en.md b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_model_distilbert_emgs_en.md new file mode 100644 index 0000000000000..76af10958ff4c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-twitter_sentiment_model_distilbert_emgs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_sentiment_model_distilbert_emgs DistilBertForSequenceClassification from emgs +author: John Snow Labs +name: twitter_sentiment_model_distilbert_emgs +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_model_distilbert_emgs` is a English model originally trained by emgs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_model_distilbert_emgs_en_5.2.2_3.0_1703936583626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_model_distilbert_emgs_en_5.2.2_3.0_1703936583626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_model_distilbert_emgs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_model_distilbert_emgs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_sentiment_model_distilbert_emgs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/emgs/twitter-sentiment-model-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-upload_test_model_en.md b/docs/_posts/ahmedlone127/2023-12-30-upload_test_model_en.md new file mode 100644 index 0000000000000..c667473a450af --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-upload_test_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English upload_test_model DistilBertForSequenceClassification from anth0nyhak1m +author: John Snow Labs +name: upload_test_model +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`upload_test_model` is a English model originally trained by anth0nyhak1m. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/upload_test_model_en_5.2.2_3.0_1703918115451.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/upload_test_model_en_5.2.2_3.0_1703918115451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("upload_test_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("upload_test_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|upload_test_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anth0nyhak1m/Upload_test_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-yahoo_en.md b/docs/_posts/ahmedlone127/2023-12-30-yahoo_en.md new file mode 100644 index 0000000000000..cf69fda004e17 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-yahoo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English yahoo DistilBertForSequenceClassification from ethannhzhouu +author: John Snow Labs +name: yahoo +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yahoo` is a English model originally trained by ethannhzhouu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yahoo_en_5.2.2_3.0_1703900923190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yahoo_en_5.2.2_3.0_1703900923190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("yahoo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("yahoo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|yahoo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ethannhzhouu/yahoo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-30-yelp_based_finetuning_sentiment_model_3000_samples_multilabel_en.md b/docs/_posts/ahmedlone127/2023-12-30-yelp_based_finetuning_sentiment_model_3000_samples_multilabel_en.md new file mode 100644 index 0000000000000..d01676096cc87 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-30-yelp_based_finetuning_sentiment_model_3000_samples_multilabel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English yelp_based_finetuning_sentiment_model_3000_samples_multilabel DistilBertForSequenceClassification from kektorio +author: John Snow Labs +name: yelp_based_finetuning_sentiment_model_3000_samples_multilabel +date: 2023-12-30 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yelp_based_finetuning_sentiment_model_3000_samples_multilabel` is a English model originally trained by kektorio. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_based_finetuning_sentiment_model_3000_samples_multilabel_en_5.2.2_3.0_1703965533160.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_based_finetuning_sentiment_model_3000_samples_multilabel_en_5.2.2_3.0_1703965533160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("yelp_based_finetuning_sentiment_model_3000_samples_multilabel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("yelp_based_finetuning_sentiment_model_3000_samples_multilabel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|yelp_based_finetuning_sentiment_model_3000_samples_multilabel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kektorio/yelp-based-finetuning-sentiment-model-3000-samples-multilabel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-20ng_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-12-31-20ng_distilbert_5e_en.md new file mode 100644 index 0000000000000..f64e1ba902041 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-20ng_distilbert_5e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 20ng_distilbert_5e DistilBertForSequenceClassification from pig4431 +author: John Snow Labs +name: 20ng_distilbert_5e +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20ng_distilbert_5e` is a English model originally trained by pig4431. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20ng_distilbert_5e_en_5.2.2_3.0_1704051969926.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20ng_distilbert_5e_en_5.2.2_3.0_1704051969926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_distilbert_5e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("20ng_distilbert_5e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|20ng_distilbert_5e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/pig4431/20NG_DistilBERT_5E \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-5718_5_en.md b/docs/_posts/ahmedlone127/2023-12-31-5718_5_en.md new file mode 100644 index 0000000000000..cdc4c094eced3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-5718_5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English 5718_5 DistilBertForSequenceClassification from mhpanju +author: John Snow Labs +name: 5718_5 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`5718_5` is a English model originally trained by mhpanju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/5718_5_en_5.2.2_3.0_1704047189780.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/5718_5_en_5.2.2_3.0_1704047189780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718_5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("5718_5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|5718_5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mhpanju/5718_5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-active_learn_stance_en.md b/docs/_posts/ahmedlone127/2023-12-31-active_learn_stance_en.md new file mode 100644 index 0000000000000..ed939f78bf442 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-active_learn_stance_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English active_learn_stance DistilBertForSequenceClassification from kama-brown +author: John Snow Labs +name: active_learn_stance +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`active_learn_stance` is a English model originally trained by kama-brown. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/active_learn_stance_en_5.2.2_3.0_1703980892795.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/active_learn_stance_en_5.2.2_3.0_1703980892795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_stance","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("active_learn_stance","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|active_learn_stance| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kama-brown/active_learn_stance \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert10_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert10_en.md new file mode 100644 index 0000000000000..41d4656d4fbba --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert10_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert10 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert10 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert10` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert10_en_5.2.2_3.0_1704063932153.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert10_en_5.2.2_3.0_1704063932153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert10","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert10","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert10| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert10 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert13_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert13_en.md new file mode 100644 index 0000000000000..c7bfe659aba7a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert13 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert13 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert13` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert13_en_5.2.2_3.0_1704063094136.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert13_en_5.2.2_3.0_1704063094136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert13 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert17_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert17_en.md new file mode 100644 index 0000000000000..8b041f5bf5926 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert17_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert17 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert17 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert17` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert17_en_5.2.2_3.0_1704061537998.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert17_en_5.2.2_3.0_1704061537998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert17","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert17","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert17| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert17 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert21_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert21_en.md new file mode 100644 index 0000000000000..26c5cf76538bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert21_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert21 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert21 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert21` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert21_en_5.2.2_3.0_1704052148980.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert21_en_5.2.2_3.0_1704052148980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert21","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert21","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert21| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert21 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert26_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert26_en.md new file mode 100644 index 0000000000000..1f2df319a75ad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert26_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert26 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert26 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert26` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert26_en_5.2.2_3.0_1704052504129.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert26_en_5.2.2_3.0_1704052504129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert26","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert26","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert26| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert26 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert33_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert33_en.md new file mode 100644 index 0000000000000..076299d839586 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert33_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert33 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert33 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert33` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert33_en_5.2.2_3.0_1704050738609.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert33_en_5.2.2_3.0_1704050738609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert33","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert33","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert33| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert33 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert36_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert36_en.md new file mode 100644 index 0000000000000..abe3c55a946ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert36_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert36 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert36 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert36` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert36_en_5.2.2_3.0_1704066166399.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert36_en_5.2.2_3.0_1704066166399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert36","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert36","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert36| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert36 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert3_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert3_en.md new file mode 100644 index 0000000000000..04c709d82dc07 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert3 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert3 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert3` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert3_en_5.2.2_3.0_1704066770219.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert3_en_5.2.2_3.0_1704066770219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert5_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert5_en.md new file mode 100644 index 0000000000000..8caee205de279 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert5 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert5 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert5` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert5_en_5.2.2_3.0_1704052958801.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert5_en_5.2.2_3.0_1704052958801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert7_en.md b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert7_en.md new file mode 100644 index 0000000000000..10469efa6767a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ad_distilbert7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert7 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert7 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert7` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert7_en_5.2.2_3.0_1704052153006.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert7_en_5.2.2_3.0_1704052153006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert7 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ai4all_ucsf_reddit_2023_subject_en.md b/docs/_posts/ahmedlone127/2023-12-31-ai4all_ucsf_reddit_2023_subject_en.md new file mode 100644 index 0000000000000..54d9b08e71867 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ai4all_ucsf_reddit_2023_subject_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ai4all_ucsf_reddit_2023_subject DistilBertForSequenceClassification from kc928 +author: John Snow Labs +name: ai4all_ucsf_reddit_2023_subject +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai4all_ucsf_reddit_2023_subject` is a English model originally trained by kc928. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai4all_ucsf_reddit_2023_subject_en_5.2.2_3.0_1703996895693.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai4all_ucsf_reddit_2023_subject_en_5.2.2_3.0_1703996895693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai4all_ucsf_reddit_2023_subject","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai4all_ucsf_reddit_2023_subject","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ai4all_ucsf_reddit_2023_subject| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/kc928/AI4ALL-UCSF-Reddit-2023-Subject \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ai_generated_essay_detection_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-31-ai_generated_essay_detection_distilbert_en.md new file mode 100644 index 0000000000000..dd1368111377f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ai_generated_essay_detection_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ai_generated_essay_detection_distilbert DistilBertForSequenceClassification from dima806 +author: John Snow Labs +name: ai_generated_essay_detection_distilbert +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_generated_essay_detection_distilbert` is a English model originally trained by dima806. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_generated_essay_detection_distilbert_en_5.2.2_3.0_1704048324459.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_generated_essay_detection_distilbert_en_5.2.2_3.0_1704048324459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai_generated_essay_detection_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ai_generated_essay_detection_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ai_generated_essay_detection_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/dima806/ai-generated-essay-detection-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-aie_assessment_en.md b/docs/_posts/ahmedlone127/2023-12-31-aie_assessment_en.md new file mode 100644 index 0000000000000..4e629f8acd45f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-aie_assessment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English aie_assessment DistilBertForSequenceClassification from adisrini11 +author: John Snow Labs +name: aie_assessment +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aie_assessment` is a English model originally trained by adisrini11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aie_assessment_en_5.2.2_3.0_1704053087750.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aie_assessment_en_5.2.2_3.0_1704053087750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("aie_assessment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("aie_assessment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|aie_assessment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/adisrini11/AIE-Assessment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-airlinedistilbert_en.md b/docs/_posts/ahmedlone127/2023-12-31-airlinedistilbert_en.md new file mode 100644 index 0000000000000..fe2776efeb82a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-airlinedistilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English airlinedistilbert DistilBertForSequenceClassification from nikitakotsehub +author: John Snow Labs +name: airlinedistilbert +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`airlinedistilbert` is a English model originally trained by nikitakotsehub. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/airlinedistilbert_en_5.2.2_3.0_1704052814370.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/airlinedistilbert_en_5.2.2_3.0_1704052814370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("airlinedistilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("airlinedistilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|airlinedistilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nikitakotsehub/AirlineDistilBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-aj_first_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-aj_first_model_en.md new file mode 100644 index 0000000000000..9168a5bcb50ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-aj_first_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English aj_first_model DistilBertForSequenceClassification from ankushjamthikar +author: John Snow Labs +name: aj_first_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aj_first_model` is a English model originally trained by ankushjamthikar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aj_first_model_en_5.2.2_3.0_1704058271937.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aj_first_model_en_5.2.2_3.0_1704058271937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("aj_first_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("aj_first_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|aj_first_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ankushjamthikar/aj_first_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-alvins_finetuned_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-alvins_finetuned_distilbert_model_en.md new file mode 100644 index 0000000000000..18c4f514cbe87 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-alvins_finetuned_distilbert_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English alvins_finetuned_distilbert_model DistilBertForSequenceClassification from VINAL +author: John Snow Labs +name: alvins_finetuned_distilbert_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alvins_finetuned_distilbert_model` is a English model originally trained by VINAL. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alvins_finetuned_distilbert_model_en_5.2.2_3.0_1703999050588.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvins_finetuned_distilbert_model_en_5.2.2_3.0_1703999050588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("alvins_finetuned_distilbert_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("alvins_finetuned_distilbert_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|alvins_finetuned_distilbert_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/VINAL/Alvins-Finetuned-distilbert-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-announcementclassfication_en.md b/docs/_posts/ahmedlone127/2023-12-31-announcementclassfication_en.md new file mode 100644 index 0000000000000..21fb9afaf1f37 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-announcementclassfication_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English announcementclassfication DistilBertForSequenceClassification from eclec +author: John Snow Labs +name: announcementclassfication +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`announcementclassfication` is a English model originally trained by eclec. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/announcementclassfication_en_5.2.2_3.0_1703989526964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/announcementclassfication_en_5.2.2_3.0_1703989526964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("announcementclassfication","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("announcementclassfication","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|announcementclassfication| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/eclec/announcementClassfication \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-anthropic_comparisons_distilbert_anthropic_en.md b/docs/_posts/ahmedlone127/2023-12-31-anthropic_comparisons_distilbert_anthropic_en.md new file mode 100644 index 0000000000000..e3ca0675f13cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-anthropic_comparisons_distilbert_anthropic_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English anthropic_comparisons_distilbert_anthropic DistilBertForSequenceClassification from PabloAMC +author: John Snow Labs +name: anthropic_comparisons_distilbert_anthropic +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anthropic_comparisons_distilbert_anthropic` is a English model originally trained by PabloAMC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anthropic_comparisons_distilbert_anthropic_en_5.2.2_3.0_1703995951976.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anthropic_comparisons_distilbert_anthropic_en_5.2.2_3.0_1703995951976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("anthropic_comparisons_distilbert_anthropic","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("anthropic_comparisons_distilbert_anthropic","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|anthropic_comparisons_distilbert_anthropic| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PabloAMC/anthropic-comparisons-distilbert_anthropic \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-attainment_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-31-attainment_distilbert_en.md new file mode 100644 index 0000000000000..59459e5e073ac --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-attainment_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English attainment_distilbert DistilBertForSequenceClassification from gianclbal +author: John Snow Labs +name: attainment_distilbert +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`attainment_distilbert` is a English model originally trained by gianclbal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/attainment_distilbert_en_5.2.2_3.0_1704051282414.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/attainment_distilbert_en_5.2.2_3.0_1704051282414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("attainment_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("attainment_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|attainment_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gianclbal/attainment_distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-autotrain_intent_classification_6categories_distilbert_89087143849_en.md b/docs/_posts/ahmedlone127/2023-12-31-autotrain_intent_classification_6categories_distilbert_89087143849_en.md new file mode 100644 index 0000000000000..b311a608238b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-autotrain_intent_classification_6categories_distilbert_89087143849_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English autotrain_intent_classification_6categories_distilbert_89087143849 DistilBertForSequenceClassification from yeye776 +author: John Snow Labs +name: autotrain_intent_classification_6categories_distilbert_89087143849 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_intent_classification_6categories_distilbert_89087143849` is a English model originally trained by yeye776. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_6categories_distilbert_89087143849_en_5.2.2_3.0_1704048003768.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_6categories_distilbert_89087143849_en_5.2.2_3.0_1704048003768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_intent_classification_6categories_distilbert_89087143849","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("autotrain_intent_classification_6categories_distilbert_89087143849","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|autotrain_intent_classification_6categories_distilbert_89087143849| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/yeye776/autotrain-intent-classification-6categories-distilbert-89087143849 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_amiune_en.md b/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_amiune_en.md new file mode 100644 index 0000000000000..76f2d1adeaa1b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_amiune_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_clasificacion_peliculas_amiune DistilBertForSequenceClassification from amiune +author: John Snow Labs +name: bert_clasificacion_peliculas_amiune +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_clasificacion_peliculas_amiune` is a English model originally trained by amiune. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_clasificacion_peliculas_amiune_en_5.2.2_3.0_1704046374096.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_clasificacion_peliculas_amiune_en_5.2.2_3.0_1704046374096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_clasificacion_peliculas_amiune","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_clasificacion_peliculas_amiune","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_clasificacion_peliculas_amiune| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/amiune/bert-clasificacion-peliculas \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_natsanchezc_en.md b/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_natsanchezc_en.md new file mode 100644 index 0000000000000..2bda388cb2b85 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bert_clasificacion_peliculas_natsanchezc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_clasificacion_peliculas_natsanchezc DistilBertForSequenceClassification from natsanchezc +author: John Snow Labs +name: bert_clasificacion_peliculas_natsanchezc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_clasificacion_peliculas_natsanchezc` is a English model originally trained by natsanchezc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_clasificacion_peliculas_natsanchezc_en_5.2.2_3.0_1704048857587.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_clasificacion_peliculas_natsanchezc_en_5.2.2_3.0_1704048857587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_clasificacion_peliculas_natsanchezc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_clasificacion_peliculas_natsanchezc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_clasificacion_peliculas_natsanchezc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/natsanchezc/bert-clasificacion-peliculas \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bert_emotion_jfwallin_en.md b/docs/_posts/ahmedlone127/2023-12-31-bert_emotion_jfwallin_en.md new file mode 100644 index 0000000000000..5c3c57e246175 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bert_emotion_jfwallin_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_emotion_jfwallin DistilBertForSequenceClassification from jfwallin +author: John Snow Labs +name: bert_emotion_jfwallin +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_jfwallin` is a English model originally trained by jfwallin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_jfwallin_en_5.2.2_3.0_1704045999754.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_jfwallin_en_5.2.2_3.0_1704045999754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_jfwallin","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_emotion_jfwallin","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_emotion_jfwallin| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/jfwallin/bert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bert_sentence_classification_en.md b/docs/_posts/ahmedlone127/2023-12-31-bert_sentence_classification_en.md new file mode 100644 index 0000000000000..d0b95d152f579 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bert_sentence_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_sentence_classification DistilBertForSequenceClassification from iamnguyen +author: John Snow Labs +name: bert_sentence_classification +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentence_classification` is a English model originally trained by iamnguyen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentence_classification_en_5.2.2_3.0_1704046533242.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentence_classification_en_5.2.2_3.0_1704046533242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_sentence_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_sentence_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_sentence_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/iamnguyen/bert-sentence-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bertuntrained_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-bertuntrained_model_en.md new file mode 100644 index 0000000000000..176b9f6f5dd51 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bertuntrained_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bertuntrained_model DistilBertForSequenceClassification from soumyasinha +author: John Snow Labs +name: bertuntrained_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertuntrained_model` is a English model originally trained by soumyasinha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertuntrained_model_en_5.2.2_3.0_1704052323964.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertuntrained_model_en_5.2.2_3.0_1704052323964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bertuntrained_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bertuntrained_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bertuntrained_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.8 MB| + +## References + +https://huggingface.co/soumyasinha/BERTuntrained_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bt5153_kaggle_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-31-bt5153_kaggle_sentiment_model_3000_samples_en.md new file mode 100644 index 0000000000000..f1c2332c31230 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bt5153_kaggle_sentiment_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bt5153_kaggle_sentiment_model_3000_samples DistilBertForSequenceClassification from ozfan +author: John Snow Labs +name: bt5153_kaggle_sentiment_model_3000_samples +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bt5153_kaggle_sentiment_model_3000_samples` is a English model originally trained by ozfan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bt5153_kaggle_sentiment_model_3000_samples_en_5.2.2_3.0_1704052154139.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bt5153_kaggle_sentiment_model_3000_samples_en_5.2.2_3.0_1704052154139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bt5153_kaggle_sentiment_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bt5153_kaggle_sentiment_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bt5153_kaggle_sentiment_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ozfan/BT5153-kaggle-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-bullying_model_v1_en.md b/docs/_posts/ahmedlone127/2023-12-31-bullying_model_v1_en.md new file mode 100644 index 0000000000000..61c5627e5d076 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-bullying_model_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bullying_model_v1 DistilBertForSequenceClassification from Maaz66 +author: John Snow Labs +name: bullying_model_v1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bullying_model_v1` is a English model originally trained by Maaz66. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bullying_model_v1_en_5.2.2_3.0_1704051801496.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bullying_model_v1_en_5.2.2_3.0_1704051801496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bullying_model_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bullying_model_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bullying_model_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Maaz66/bullying_model_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_aesome_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_aesome_model_en.md new file mode 100644 index 0000000000000..3649d0632829f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_aesome_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_aesome_model DistilBertForSequenceClassification from Valyanka +author: John Snow Labs +name: burmese_aesome_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_aesome_model` is a English model originally trained by Valyanka. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_aesome_model_en_5.2.2_3.0_1704048223385.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_aesome_model_en_5.2.2_3.0_1704048223385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_aesome_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_aesome_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_aesome_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/Valyanka/my-aesome-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model2_koreadaeil_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model2_koreadaeil_en.md new file mode 100644 index 0000000000000..fbde117739e6f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model2_koreadaeil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model2_koreadaeil DistilBertForSequenceClassification from koreadaeil +author: John Snow Labs +name: burmese_awesome_model2_koreadaeil +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model2_koreadaeil` is a English model originally trained by koreadaeil. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model2_koreadaeil_en_5.2.2_3.0_1704051045646.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model2_koreadaeil_en_5.2.2_3.0_1704051045646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model2_koreadaeil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model2_koreadaeil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model2_koreadaeil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/koreadaeil/my_awesome_model2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model4_theolepere_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model4_theolepere_en.md new file mode 100644 index 0000000000000..27f03c2ce20b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model4_theolepere_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model4_theolepere DistilBertForSequenceClassification from TheoLepere +author: John Snow Labs +name: burmese_awesome_model4_theolepere +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model4_theolepere` is a English model originally trained by TheoLepere. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_theolepere_en_5.2.2_3.0_1703985342252.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model4_theolepere_en_5.2.2_3.0_1703985342252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_theolepere","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model4_theolepere","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model4_theolepere| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/TheoLepere/my_awesome_model4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_atndel_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_atndel_en.md new file mode 100644 index 0000000000000..f159da533f76e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_atndel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_atndel DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_2_atndel +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_atndel` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_atndel_en_5.2.2_3.0_1704050575480.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_atndel_en_5.2.2_3.0_1704050575480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_atndel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_atndel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_atndel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_torchborg_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_torchborg_en.md new file mode 100644 index 0000000000000..35d58c1ac0920 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_2_torchborg_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_2_torchborg DistilBertForSequenceClassification from Torchborg +author: John Snow Labs +name: burmese_awesome_model_2_torchborg +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_2_torchborg` is a English model originally trained by Torchborg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_torchborg_en_5.2.2_3.0_1704045451910.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_2_torchborg_en_5.2.2_3.0_1704045451910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_torchborg","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_2_torchborg","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_2_torchborg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Torchborg/my_awesome_model_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_2_en.md new file mode 100644 index 0000000000000..2737d71e8624f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_721_2 DistilBertForSequenceClassification from josephrich +author: John Snow Labs +name: burmese_awesome_model_721_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_721_2` is a English model originally trained by josephrich. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_721_2_en_5.2.2_3.0_1704007429404.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_721_2_en_5.2.2_3.0_1704007429404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_721_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_721_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_721_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/josephrich/my_awesome_model_721_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_en.md new file mode 100644 index 0000000000000..af35dd357e9c7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_721_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_721 DistilBertForSequenceClassification from josephrich +author: John Snow Labs +name: burmese_awesome_model_721 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_721` is a English model originally trained by josephrich. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_721_en_5.2.2_3.0_1704003396769.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_721_en_5.2.2_3.0_1704003396769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_721","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_721","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_721| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/josephrich/my_awesome_model_721 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_7_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_7_en.md new file mode 100644 index 0000000000000..cfdffb5a52c69 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_7 DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_7 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_7` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_7_en_5.2.2_3.0_1703996674003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_7_en_5.2.2_3.0_1703996674003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model_7 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aditya94_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aditya94_en.md new file mode 100644 index 0000000000000..7d9520e125145 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aditya94_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_aditya94 DistilBertForSequenceClassification from Aditya94 +author: John Snow Labs +name: burmese_awesome_model_aditya94 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_aditya94` is a English model originally trained by Aditya94. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aditya94_en_5.2.2_3.0_1704045583353.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aditya94_en_5.2.2_3.0_1704045583353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aditya94","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aditya94","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_aditya94| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Aditya94/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_afaan00733_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_afaan00733_en.md new file mode 100644 index 0000000000000..35bf36774426d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_afaan00733_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_afaan00733 DistilBertForSequenceClassification from afaan00733 +author: John Snow Labs +name: burmese_awesome_model_afaan00733 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_afaan00733` is a English model originally trained by afaan00733. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_afaan00733_en_5.2.2_3.0_1704008287146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_afaan00733_en_5.2.2_3.0_1704008287146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_afaan00733","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_afaan00733","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_afaan00733| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/afaan00733/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_alihugface_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_alihugface_en.md new file mode 100644 index 0000000000000..ebbbd92b63a47 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_alihugface_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_alihugface DistilBertForSequenceClassification from Alihugface +author: John Snow Labs +name: burmese_awesome_model_alihugface +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_alihugface` is a English model originally trained by Alihugface. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_alihugface_en_5.2.2_3.0_1704001169489.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_alihugface_en_5.2.2_3.0_1704001169489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_alihugface","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_alihugface","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_alihugface| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Alihugface/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_anakeen_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_anakeen_en.md new file mode 100644 index 0000000000000..8798251d38d42 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_anakeen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_anakeen DistilBertForSequenceClassification from Anakeen +author: John Snow Labs +name: burmese_awesome_model_anakeen +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_anakeen` is a English model originally trained by Anakeen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anakeen_en_5.2.2_3.0_1704049980709.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anakeen_en_5.2.2_3.0_1704049980709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_anakeen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_anakeen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_anakeen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Anakeen/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aongwachi_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aongwachi_en.md new file mode 100644 index 0000000000000..f40e0c1b63ef5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aongwachi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_aongwachi DistilBertForSequenceClassification from aongwachi +author: John Snow Labs +name: burmese_awesome_model_aongwachi +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_aongwachi` is a English model originally trained by aongwachi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aongwachi_en_5.2.2_3.0_1704045108093.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aongwachi_en_5.2.2_3.0_1704045108093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aongwachi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aongwachi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_aongwachi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aongwachi/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aqzaqaqzaq_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aqzaqaqzaq_en.md new file mode 100644 index 0000000000000..f65eede52b7e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_aqzaqaqzaq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_aqzaqaqzaq DistilBertForSequenceClassification from aqzaqaqzaq +author: John Snow Labs +name: burmese_awesome_model_aqzaqaqzaq +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_aqzaqaqzaq` is a English model originally trained by aqzaqaqzaq. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aqzaqaqzaq_en_5.2.2_3.0_1703981996684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_aqzaqaqzaq_en_5.2.2_3.0_1703981996684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aqzaqaqzaq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_aqzaqaqzaq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_aqzaqaqzaq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aqzaqaqzaq/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_atndel_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_atndel_en.md new file mode 100644 index 0000000000000..51f4c8825f8dc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_atndel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_atndel DistilBertForSequenceClassification from atndel +author: John Snow Labs +name: burmese_awesome_model_atndel +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_atndel` is a English model originally trained by atndel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_atndel_en_5.2.2_3.0_1704044924786.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_atndel_en_5.2.2_3.0_1704044924786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_atndel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_atndel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_atndel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/atndel/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_audi24_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_audi24_en.md new file mode 100644 index 0000000000000..c0df1ce1d1a16 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_audi24_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_audi24 DistilBertForSequenceClassification from Audi24 +author: John Snow Labs +name: burmese_awesome_model_audi24 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_audi24` is a English model originally trained by Audi24. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_audi24_en_5.2.2_3.0_1703986441181.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_audi24_en_5.2.2_3.0_1703986441181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_audi24","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_audi24","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_audi24| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Audi24/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_b0ba_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_b0ba_en.md new file mode 100644 index 0000000000000..220c6c999bea5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_b0ba_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_b0ba DistilBertForSequenceClassification from B0Ba +author: John Snow Labs +name: burmese_awesome_model_b0ba +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_b0ba` is a English model originally trained by B0Ba. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_b0ba_en_5.2.2_3.0_1704045106212.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_b0ba_en_5.2.2_3.0_1704045106212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_b0ba","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_b0ba","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_b0ba| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/B0Ba/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_beever_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_beever_en.md new file mode 100644 index 0000000000000..b1f4d4863dfb4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_beever_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_beever DistilBertForSequenceClassification from beever +author: John Snow Labs +name: burmese_awesome_model_beever +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_beever` is a English model originally trained by beever. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_beever_en_5.2.2_3.0_1704046416977.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_beever_en_5.2.2_3.0_1704046416977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_beever","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_beever","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_beever| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/beever/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cep_ter_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cep_ter_en.md new file mode 100644 index 0000000000000..d59aa5c7b7d19 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cep_ter_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_cep_ter DistilBertForSequenceClassification from cep-ter +author: John Snow Labs +name: burmese_awesome_model_cep_ter +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_cep_ter` is a English model originally trained by cep-ter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cep_ter_en_5.2.2_3.0_1704060043004.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cep_ter_en_5.2.2_3.0_1704060043004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cep_ter","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cep_ter","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_cep_ter| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cep-ter/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_chung_fan_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_chung_fan_en.md new file mode 100644 index 0000000000000..e0ba6a99b2ca2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_chung_fan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_chung_fan DistilBertForSequenceClassification from Chung-Fan +author: John Snow Labs +name: burmese_awesome_model_chung_fan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_chung_fan` is a English model originally trained by Chung-Fan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chung_fan_en_5.2.2_3.0_1704052948712.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chung_fan_en_5.2.2_3.0_1704052948712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chung_fan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_chung_fan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_chung_fan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chung-Fan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cristianjuva_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cristianjuva_en.md new file mode 100644 index 0000000000000..89ed93486d1b3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_cristianjuva_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_cristianjuva DistilBertForSequenceClassification from CristianJuVa +author: John Snow Labs +name: burmese_awesome_model_cristianjuva +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_cristianjuva` is a English model originally trained by CristianJuVa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cristianjuva_en_5.2.2_3.0_1704047818415.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_cristianjuva_en_5.2.2_3.0_1704047818415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cristianjuva","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_cristianjuva","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_cristianjuva| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/CristianJuVa/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_daan1213_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_daan1213_en.md new file mode 100644 index 0000000000000..90677f3d508cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_daan1213_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_daan1213 DistilBertForSequenceClassification from daan1213 +author: John Snow Labs +name: burmese_awesome_model_daan1213 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_daan1213` is a English model originally trained by daan1213. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_daan1213_en_5.2.2_3.0_1704049705098.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_daan1213_en_5.2.2_3.0_1704049705098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_daan1213","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_daan1213","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_daan1213| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/daan1213/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_dungnt_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_dungnt_en.md new file mode 100644 index 0000000000000..320f0a9fde53f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_dungnt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_dungnt DistilBertForSequenceClassification from dungnt +author: John Snow Labs +name: burmese_awesome_model_dungnt +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dungnt` is a English model originally trained by dungnt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dungnt_en_5.2.2_3.0_1703981996817.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dungnt_en_5.2.2_3.0_1703981996817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dungnt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_dungnt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_dungnt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dungnt/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_filpmd_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_filpmd_en.md new file mode 100644 index 0000000000000..632600b4e93e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_filpmd_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_filpmd DistilBertForSequenceClassification from FilpMD +author: John Snow Labs +name: burmese_awesome_model_filpmd +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_filpmd` is a English model originally trained by FilpMD. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_filpmd_en_5.2.2_3.0_1704010399614.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_filpmd_en_5.2.2_3.0_1704010399614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_filpmd","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_filpmd","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_filpmd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/FilpMD/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_frankshhh_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_frankshhh_en.md new file mode 100644 index 0000000000000..bf96771d2e155 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_frankshhh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_frankshhh DistilBertForSequenceClassification from frankshhh +author: John Snow Labs +name: burmese_awesome_model_frankshhh +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_frankshhh` is a English model originally trained by frankshhh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_frankshhh_en_5.2.2_3.0_1704003920244.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_frankshhh_en_5.2.2_3.0_1704003920244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_frankshhh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_frankshhh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_frankshhh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/frankshhh/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_fredymad_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_fredymad_en.md new file mode 100644 index 0000000000000..785d636f889d9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_fredymad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_fredymad DistilBertForSequenceClassification from fredymad +author: John Snow Labs +name: burmese_awesome_model_fredymad +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_fredymad` is a English model originally trained by fredymad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_fredymad_en_5.2.2_3.0_1704050907042.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_fredymad_en_5.2.2_3.0_1704050907042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_fredymad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_fredymad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_fredymad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fredymad/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ghunghru_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ghunghru_en.md new file mode 100644 index 0000000000000..0e1a523b595bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ghunghru_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ghunghru DistilBertForSequenceClassification from Ghunghru +author: John Snow Labs +name: burmese_awesome_model_ghunghru +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ghunghru` is a English model originally trained by Ghunghru. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ghunghru_en_5.2.2_3.0_1704047650115.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ghunghru_en_5.2.2_3.0_1704047650115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ghunghru","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ghunghru","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ghunghru| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Ghunghru/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_gmakisame_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_gmakisame_en.md new file mode 100644 index 0000000000000..53031c0d44815 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_gmakisame_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_gmakisame DistilBertForSequenceClassification from GMAkisame +author: John Snow Labs +name: burmese_awesome_model_gmakisame +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_gmakisame` is a English model originally trained by GMAkisame. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gmakisame_en_5.2.2_3.0_1703989526996.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gmakisame_en_5.2.2_3.0_1703989526996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_gmakisame","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_gmakisame","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_gmakisame| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/GMAkisame/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_guidoivetta_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_guidoivetta_en.md new file mode 100644 index 0000000000000..8d19cb5533633 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_guidoivetta_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_guidoivetta DistilBertForSequenceClassification from guidoivetta +author: John Snow Labs +name: burmese_awesome_model_guidoivetta +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_guidoivetta` is a English model originally trained by guidoivetta. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_guidoivetta_en_5.2.2_3.0_1703995256371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_guidoivetta_en_5.2.2_3.0_1703995256371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_guidoivetta","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_guidoivetta","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_guidoivetta| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/guidoivetta/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_happysun_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_happysun_en.md new file mode 100644 index 0000000000000..5717daf1651d9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_happysun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_happysun DistilBertForSequenceClassification from Happysun +author: John Snow Labs +name: burmese_awesome_model_happysun +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_happysun` is a English model originally trained by Happysun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_happysun_en_5.2.2_3.0_1704003020743.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_happysun_en_5.2.2_3.0_1704003020743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_happysun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_happysun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_happysun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Happysun/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_harjas123_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_harjas123_en.md new file mode 100644 index 0000000000000..33a3e0885867c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_harjas123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_harjas123 DistilBertForSequenceClassification from Harjas123 +author: John Snow Labs +name: burmese_awesome_model_harjas123 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_harjas123` is a English model originally trained by Harjas123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_harjas123_en_5.2.2_3.0_1704058538233.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_harjas123_en_5.2.2_3.0_1704058538233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_harjas123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_harjas123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_harjas123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Harjas123/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_jiffies_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_jiffies_en.md new file mode 100644 index 0000000000000..9ea0a0738c5db --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_jiffies_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_jiffies DistilBertForSequenceClassification from Jiffies +author: John Snow Labs +name: burmese_awesome_model_jiffies +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jiffies` is a English model originally trained by Jiffies. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jiffies_en_5.2.2_3.0_1703983874297.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jiffies_en_5.2.2_3.0_1703983874297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jiffies","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_jiffies","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_jiffies| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Jiffies/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_k3smith_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_k3smith_en.md new file mode 100644 index 0000000000000..2ad7cfbecb2cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_k3smith_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_k3smith DistilBertForSequenceClassification from k3smith +author: John Snow Labs +name: burmese_awesome_model_k3smith +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_k3smith` is a English model originally trained by k3smith. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_k3smith_en_5.2.2_3.0_1703994796541.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_k3smith_en_5.2.2_3.0_1703994796541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_k3smith","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_k3smith","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_k3smith| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/k3smith/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_kt220_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_kt220_en.md new file mode 100644 index 0000000000000..2107c3a53b243 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_kt220_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_kt220 DistilBertForSequenceClassification from kt220 +author: John Snow Labs +name: burmese_awesome_model_kt220 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kt220` is a English model originally trained by kt220. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kt220_en_5.2.2_3.0_1704050616637.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kt220_en_5.2.2_3.0_1704050616637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kt220","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_kt220","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_kt220| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kt220/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_lparzych_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_lparzych_en.md new file mode 100644 index 0000000000000..4420480ef9737 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_lparzych_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_lparzych DistilBertForSequenceClassification from lparzych +author: John Snow Labs +name: burmese_awesome_model_lparzych +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_lparzych` is a English model originally trained by lparzych. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lparzych_en_5.2.2_3.0_1703989647330.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lparzych_en_5.2.2_3.0_1703989647330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lparzych","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_lparzych","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_lparzych| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lparzych/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_marianna13_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_marianna13_en.md new file mode 100644 index 0000000000000..9c6d470ffaa9e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_marianna13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_marianna13 DistilBertForSequenceClassification from marianna13 +author: John Snow Labs +name: burmese_awesome_model_marianna13 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_marianna13` is a English model originally trained by marianna13. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_marianna13_en_5.2.2_3.0_1704052692434.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_marianna13_en_5.2.2_3.0_1704052692434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_marianna13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_marianna13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_marianna13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/marianna13/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_meathead2k2_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_meathead2k2_en.md new file mode 100644 index 0000000000000..2a4e848f92715 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_meathead2k2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_meathead2k2 DistilBertForSequenceClassification from meathead2k2 +author: John Snow Labs +name: burmese_awesome_model_meathead2k2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_meathead2k2` is a English model originally trained by meathead2k2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_meathead2k2_en_5.2.2_3.0_1704010399603.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_meathead2k2_en_5.2.2_3.0_1704010399603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_meathead2k2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_meathead2k2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_meathead2k2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/meathead2k2/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_mholtom_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_mholtom_en.md new file mode 100644 index 0000000000000..5e6a242cc6be9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_mholtom_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_mholtom DistilBertForSequenceClassification from mholtom +author: John Snow Labs +name: burmese_awesome_model_mholtom +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_mholtom` is a English model originally trained by mholtom. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mholtom_en_5.2.2_3.0_1704049987465.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mholtom_en_5.2.2_3.0_1704049987465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_mholtom","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_mholtom","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_mholtom| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mholtom/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_phurich_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_phurich_en.md new file mode 100644 index 0000000000000..c3d5161bf7944 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_phurich_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_phurich DistilBertForSequenceClassification from Phurich +author: John Snow Labs +name: burmese_awesome_model_phurich +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_phurich` is a English model originally trained by Phurich. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_phurich_en_5.2.2_3.0_1704062330331.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_phurich_en_5.2.2_3.0_1704062330331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_phurich","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_phurich","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_phurich| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Phurich/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pinyu_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pinyu_en.md new file mode 100644 index 0000000000000..de0b686dce6fe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pinyu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pinyu DistilBertForSequenceClassification from Pinyu +author: John Snow Labs +name: burmese_awesome_model_pinyu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pinyu` is a English model originally trained by Pinyu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pinyu_en_5.2.2_3.0_1704011158911.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pinyu_en_5.2.2_3.0_1704011158911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pinyu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pinyu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pinyu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Pinyu/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_prashantmahajan_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_prashantmahajan_en.md new file mode 100644 index 0000000000000..d1a7788be8a7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_prashantmahajan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_prashantmahajan DistilBertForSequenceClassification from prashantmahajan +author: John Snow Labs +name: burmese_awesome_model_prashantmahajan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_prashantmahajan` is a English model originally trained by prashantmahajan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prashantmahajan_en_5.2.2_3.0_1704050323498.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prashantmahajan_en_5.2.2_3.0_1704050323498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_prashantmahajan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_prashantmahajan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_prashantmahajan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/prashantmahajan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pseudo2010_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pseudo2010_en.md new file mode 100644 index 0000000000000..4d36a8d28d04a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_pseudo2010_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pseudo2010 DistilBertForSequenceClassification from pseudo2010 +author: John Snow Labs +name: burmese_awesome_model_pseudo2010 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pseudo2010` is a English model originally trained by pseudo2010. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pseudo2010_en_5.2.2_3.0_1703993757370.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pseudo2010_en_5.2.2_3.0_1703993757370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pseudo2010","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pseudo2010","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pseudo2010| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pseudo2010/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rafibrent_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rafibrent_en.md new file mode 100644 index 0000000000000..fb95faba93bc0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rafibrent_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_rafibrent DistilBertForSequenceClassification from RafiBrent +author: John Snow Labs +name: burmese_awesome_model_rafibrent +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rafibrent` is a English model originally trained by RafiBrent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rafibrent_en_5.2.2_3.0_1704050614143.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rafibrent_en_5.2.2_3.0_1704050614143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rafibrent","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rafibrent","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_rafibrent| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RafiBrent/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raihan50017_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raihan50017_en.md new file mode 100644 index 0000000000000..66ae9958f59bb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raihan50017_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_raihan50017 DistilBertForSequenceClassification from raihan50017 +author: John Snow Labs +name: burmese_awesome_model_raihan50017 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_raihan50017` is a English model originally trained by raihan50017. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_raihan50017_en_5.2.2_3.0_1704060125440.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_raihan50017_en_5.2.2_3.0_1704060125440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_raihan50017","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_raihan50017","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_raihan50017| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/raihan50017/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rain1017_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rain1017_en.md new file mode 100644 index 0000000000000..ea15c7cb2797b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rain1017_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_rain1017 DistilBertForSequenceClassification from rain1017 +author: John Snow Labs +name: burmese_awesome_model_rain1017 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rain1017` is a English model originally trained by rain1017. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rain1017_en_5.2.2_3.0_1704064704608.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rain1017_en_5.2.2_3.0_1704064704608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rain1017","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rain1017","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_rain1017| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rain1017/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raullopez_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raullopez_en.md new file mode 100644 index 0000000000000..6121d69198e54 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_raullopez_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_raullopez DistilBertForSequenceClassification from raullopez +author: John Snow Labs +name: burmese_awesome_model_raullopez +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_raullopez` is a English model originally trained by raullopez. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_raullopez_en_5.2.2_3.0_1704008289410.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_raullopez_en_5.2.2_3.0_1704008289410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_raullopez","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_raullopez","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_raullopez| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/raullopez/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_revooda_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_revooda_en.md new file mode 100644 index 0000000000000..8e3ee6e3c5922 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_revooda_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_revooda DistilBertForSequenceClassification from revooda +author: John Snow Labs +name: burmese_awesome_model_revooda +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_revooda` is a English model originally trained by revooda. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_revooda_en_5.2.2_3.0_1704046028049.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_revooda_en_5.2.2_3.0_1704046028049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_revooda","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_revooda","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_revooda| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/revooda/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rkessler_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rkessler_en.md new file mode 100644 index 0000000000000..ce9d8b2678199 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_rkessler_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_rkessler DistilBertForSequenceClassification from RKessler +author: John Snow Labs +name: burmese_awesome_model_rkessler +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rkessler` is a English model originally trained by RKessler. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rkessler_en_5.2.2_3.0_1704061588480.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rkessler_en_5.2.2_3.0_1704061588480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rkessler","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_rkessler","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_rkessler| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/RKessler/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sebasvaron_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sebasvaron_en.md new file mode 100644 index 0000000000000..a70ca028cf180 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sebasvaron_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_sebasvaron DistilBertForSequenceClassification from sebasvaron +author: John Snow Labs +name: burmese_awesome_model_sebasvaron +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sebasvaron` is a English model originally trained by sebasvaron. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sebasvaron_en_5.2.2_3.0_1704046942537.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sebasvaron_en_5.2.2_3.0_1704046942537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_sebasvaron","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_sebasvaron","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_sebasvaron| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sebasvaron/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sushantkumar23_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sushantkumar23_en.md new file mode 100644 index 0000000000000..17c404256e59d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_sushantkumar23_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_sushantkumar23 DistilBertForSequenceClassification from sushantkumar23 +author: John Snow Labs +name: burmese_awesome_model_sushantkumar23 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sushantkumar23` is a English model originally trained by sushantkumar23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sushantkumar23_en_5.2.2_3.0_1704049312543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sushantkumar23_en_5.2.2_3.0_1704049312543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_sushantkumar23","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_sushantkumar23","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_sushantkumar23| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sushantkumar23/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_thushara_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_thushara_en.md new file mode 100644 index 0000000000000..a08dcb5f31da3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_thushara_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_thushara DistilBertForSequenceClassification from Thushara +author: John Snow Labs +name: burmese_awesome_model_thushara +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thushara` is a English model originally trained by Thushara. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thushara_en_5.2.2_3.0_1704046788520.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thushara_en_5.2.2_3.0_1704046788520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_thushara","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_thushara","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_thushara| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Thushara/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_tpumir_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_tpumir_en.md new file mode 100644 index 0000000000000..b7fae62343ce1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_tpumir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_tpumir DistilBertForSequenceClassification from tpumir +author: John Snow Labs +name: burmese_awesome_model_tpumir +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tpumir` is a English model originally trained by tpumir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tpumir_en_5.2.2_3.0_1703995176073.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tpumir_en_5.2.2_3.0_1703995176073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tpumir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_tpumir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_tpumir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tpumir/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ugursa_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ugursa_en.md new file mode 100644 index 0000000000000..ec82fa369db65 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_ugursa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ugursa DistilBertForSequenceClassification from ugursa +author: John Snow Labs +name: burmese_awesome_model_ugursa +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ugursa` is a English model originally trained by ugursa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ugursa_en_5.2.2_3.0_1704051134935.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ugursa_en_5.2.2_3.0_1704051134935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ugursa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ugursa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ugursa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ugursa/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_valyanka_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_valyanka_en.md new file mode 100644 index 0000000000000..52ba94e06e4cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_valyanka_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_valyanka DistilBertForSequenceClassification from Valyanka +author: John Snow Labs +name: burmese_awesome_model_valyanka +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_valyanka` is a English model originally trained by Valyanka. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_valyanka_en_5.2.2_3.0_1704001713438.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_valyanka_en_5.2.2_3.0_1704001713438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_valyanka","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_valyanka","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_valyanka| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/Valyanka/my-awesome-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_volkf_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_volkf_en.md new file mode 100644 index 0000000000000..e3afa08d4cb66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_volkf_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_volkf DistilBertForSequenceClassification from VolkF +author: John Snow Labs +name: burmese_awesome_model_volkf +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_volkf` is a English model originally trained by VolkF. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_volkf_en_5.2.2_3.0_1704060803803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_volkf_en_5.2.2_3.0_1704060803803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_volkf","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_volkf","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_volkf| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/VolkF/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_wenyitay_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_wenyitay_en.md new file mode 100644 index 0000000000000..42982b58d4f56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_wenyitay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_wenyitay DistilBertForSequenceClassification from wenyitay +author: John Snow Labs +name: burmese_awesome_model_wenyitay +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_wenyitay` is a English model originally trained by wenyitay. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wenyitay_en_5.2.2_3.0_1703995176090.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wenyitay_en_5.2.2_3.0_1703995176090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wenyitay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wenyitay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_wenyitay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wenyitay/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_whitemouse84_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_whitemouse84_en.md new file mode 100644 index 0000000000000..42aece596a851 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_whitemouse84_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_whitemouse84 DistilBertForSequenceClassification from whitemouse84 +author: John Snow Labs +name: burmese_awesome_model_whitemouse84 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_whitemouse84` is a English model originally trained by whitemouse84. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_whitemouse84_en_5.2.2_3.0_1704002662334.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_whitemouse84_en_5.2.2_3.0_1704002662334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_whitemouse84","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_whitemouse84","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_whitemouse84| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/whitemouse84/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yamgomes_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yamgomes_en.md new file mode 100644 index 0000000000000..ff074ca6ed928 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yamgomes_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yamgomes DistilBertForSequenceClassification from yamgomes +author: John Snow Labs +name: burmese_awesome_model_yamgomes +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yamgomes` is a English model originally trained by yamgomes. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yamgomes_en_5.2.2_3.0_1703986440920.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yamgomes_en_5.2.2_3.0_1703986440920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yamgomes","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yamgomes","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yamgomes| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/yamgomes/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yuinya_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yuinya_en.md new file mode 100644 index 0000000000000..0115dc572559b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_yuinya_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_yuinya DistilBertForSequenceClassification from YuiNya +author: John Snow Labs +name: burmese_awesome_model_yuinya +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yuinya` is a English model originally trained by YuiNya. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yuinya_en_5.2.2_3.0_1704048630806.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yuinya_en_5.2.2_3.0_1704048630806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yuinya","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_yuinya","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_yuinya| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/YuiNya/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_zhigang75_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_zhigang75_en.md new file mode 100644 index 0000000000000..21417efe75a7a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_awesome_model_zhigang75_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_zhigang75 DistilBertForSequenceClassification from Zhigang75 +author: John Snow Labs +name: burmese_awesome_model_zhigang75 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zhigang75` is a English model originally trained by Zhigang75. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zhigang75_en_5.2.2_3.0_1704063948206.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zhigang75_en_5.2.2_3.0_1704063948206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zhigang75","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_zhigang75","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_zhigang75| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zhigang75/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_classfier_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_classfier_model_en.md new file mode 100644 index 0000000000000..03f242e77bbd1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_classfier_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_classfier_model DistilBertForSequenceClassification from booltbb +author: John Snow Labs +name: burmese_classfier_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_classfier_model` is a English model originally trained by booltbb. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_classfier_model_en_5.2.2_3.0_1704045306244.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_classfier_model_en_5.2.2_3.0_1704045306244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_classfier_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_classfier_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_classfier_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/booltbb/my_classfier_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_finetuned_emotion_en.md new file mode 100644 index 0000000000000..ac8e776223577 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_finetuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_finetuned_emotion DistilBertForSequenceClassification from fcastanedo +author: John Snow Labs +name: burmese_finetuned_emotion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_emotion` is a English model originally trained by fcastanedo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_en_5.2.2_3.0_1703992943738.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_en_5.2.2_3.0_1703992943738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_finetuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_finetuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_finetuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/fcastanedo/my-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_giraffewt_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_giraffewt_en.md new file mode 100644 index 0000000000000..3e023bed2700f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_giraffewt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_first_model_giraffewt DistilBertForSequenceClassification from giraffewt +author: John Snow Labs +name: burmese_first_model_giraffewt +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_model_giraffewt` is a English model originally trained by giraffewt. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_model_giraffewt_en_5.2.2_3.0_1703989571801.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_model_giraffewt_en_5.2.2_3.0_1703989571801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_first_model_giraffewt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_first_model_giraffewt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_first_model_giraffewt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/giraffewt/my_first_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_hydral8_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_hydral8_en.md new file mode 100644 index 0000000000000..63774a6c03a47 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_first_model_hydral8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_first_model_hydral8 DistilBertForSequenceClassification from hydral8 +author: John Snow Labs +name: burmese_first_model_hydral8 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_model_hydral8` is a English model originally trained by hydral8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_model_hydral8_en_5.2.2_3.0_1703996899906.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_model_hydral8_en_5.2.2_3.0_1703996899906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_first_model_hydral8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_first_model_hydral8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_first_model_hydral8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hydral8/my_first_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_model_chung_fan_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_model_chung_fan_en.md new file mode 100644 index 0000000000000..8b819ed659892 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_model_chung_fan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_model_chung_fan DistilBertForSequenceClassification from Chung-Fan +author: John Snow Labs +name: burmese_model_chung_fan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_chung_fan` is a English model originally trained by Chung-Fan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_chung_fan_en_5.2.2_3.0_1704047483307.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_chung_fan_en_5.2.2_3.0_1704047483307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_chung_fan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_chung_fan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_model_chung_fan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chung-Fan/my_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-burmese_text_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-burmese_text_model_en.md new file mode 100644 index 0000000000000..b912ccf867c35 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-burmese_text_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_text_model DistilBertForSequenceClassification from joelyu +author: John Snow Labs +name: burmese_text_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_text_model` is a English model originally trained by joelyu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_text_model_en_5.2.2_3.0_1704051391229.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_text_model_en_5.2.2_3.0_1704051391229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_text_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_text_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_text_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joelyu/my_text_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-capassuperiores_id123_en.md b/docs/_posts/ahmedlone127/2023-12-31-capassuperiores_id123_en.md new file mode 100644 index 0000000000000..4f149e1709470 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-capassuperiores_id123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English capassuperiores_id123 DistilBertForSequenceClassification from manarea +author: John Snow Labs +name: capassuperiores_id123 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`capassuperiores_id123` is a English model originally trained by manarea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/capassuperiores_id123_en_5.2.2_3.0_1703984226211.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/capassuperiores_id123_en_5.2.2_3.0_1703984226211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("capassuperiores_id123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("capassuperiores_id123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|capassuperiores_id123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manarea/CapasSuperiores-ID123 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-classifier_sensor_mini_en.md b/docs/_posts/ahmedlone127/2023-12-31-classifier_sensor_mini_en.md new file mode 100644 index 0000000000000..c96275011d4f8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-classifier_sensor_mini_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English classifier_sensor_mini DistilBertForSequenceClassification from leeju +author: John Snow Labs +name: classifier_sensor_mini +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier_sensor_mini` is a English model originally trained by leeju. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_sensor_mini_en_5.2.2_3.0_1704049078534.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_sensor_mini_en_5.2.2_3.0_1704049078534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("classifier_sensor_mini","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("classifier_sensor_mini","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|classifier_sensor_mini| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leeju/classifier-sensor-mini \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-climate_un2_en.md b/docs/_posts/ahmedlone127/2023-12-31-climate_un2_en.md new file mode 100644 index 0000000000000..bd7f7b18eb400 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-climate_un2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English climate_un2 DistilBertForSequenceClassification from mljn +author: John Snow Labs +name: climate_un2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_un2` is a English model originally trained by mljn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_un2_en_5.2.2_3.0_1704049264888.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_un2_en_5.2.2_3.0_1704049264888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_un2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("climate_un2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|climate_un2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mljn/climate_un2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-copilot_relex_nyt_en.md b/docs/_posts/ahmedlone127/2023-12-31-copilot_relex_nyt_en.md new file mode 100644 index 0000000000000..925a4adfc7761 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-copilot_relex_nyt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English copilot_relex_nyt DistilBertForSequenceClassification from bobbyw +author: John Snow Labs +name: copilot_relex_nyt +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`copilot_relex_nyt` is a English model originally trained by bobbyw. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/copilot_relex_nyt_en_5.2.2_3.0_1704050904751.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/copilot_relex_nyt_en_5.2.2_3.0_1704050904751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("copilot_relex_nyt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("copilot_relex_nyt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|copilot_relex_nyt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|245.2 MB| + +## References + +https://huggingface.co/bobbyw/copilot_relex_nyt \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_attitude_en.md b/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_attitude_en.md new file mode 100644 index 0000000000000..e9c5d32f34fc4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_attitude_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cs4701_mbti_prediction_attitude DistilBertForSequenceClassification from davejung +author: John Snow Labs +name: cs4701_mbti_prediction_attitude +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cs4701_mbti_prediction_attitude` is a English model originally trained by davejung. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs4701_mbti_prediction_attitude_en_5.2.2_3.0_1704009750992.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs4701_mbti_prediction_attitude_en_5.2.2_3.0_1704009750992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs4701_mbti_prediction_attitude","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs4701_mbti_prediction_attitude","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cs4701_mbti_prediction_attitude| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/davejung/CS4701_MBTI_PREDICTION_ATTITUDE \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_introversion_en.md b/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_introversion_en.md new file mode 100644 index 0000000000000..66a386ea20f4c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-cs4701_mbti_prediction_introversion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cs4701_mbti_prediction_introversion DistilBertForSequenceClassification from davejung +author: John Snow Labs +name: cs4701_mbti_prediction_introversion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cs4701_mbti_prediction_introversion` is a English model originally trained by davejung. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs4701_mbti_prediction_introversion_en_5.2.2_3.0_1703984226242.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs4701_mbti_prediction_introversion_en_5.2.2_3.0_1703984226242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs4701_mbti_prediction_introversion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cs4701_mbti_prediction_introversion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cs4701_mbti_prediction_introversion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/davejung/CS4701_MBTI_PREDICTION_INTROVERSION \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-cta_model_distilbert_cased_en.md b/docs/_posts/ahmedlone127/2023-12-31-cta_model_distilbert_cased_en.md new file mode 100644 index 0000000000000..d7f2e323d637f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-cta_model_distilbert_cased_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cta_model_distilbert_cased DistilBertForSequenceClassification from amalnuaimi +author: John Snow Labs +name: cta_model_distilbert_cased +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cta_model_distilbert_cased` is a English model originally trained by amalnuaimi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cta_model_distilbert_cased_en_5.2.2_3.0_1704047807104.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cta_model_distilbert_cased_en_5.2.2_3.0_1704047807104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cta_model_distilbert_cased","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cta_model_distilbert_cased","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cta_model_distilbert_cased| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.2 MB| + +## References + +https://huggingface.co/amalnuaimi/cta-model-distilbert-cased \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-cwi_regressor_en.md b/docs/_posts/ahmedlone127/2023-12-31-cwi_regressor_en.md new file mode 100644 index 0000000000000..93e95e5cb50e8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-cwi_regressor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cwi_regressor DistilBertForSequenceClassification from twigs +author: John Snow Labs +name: cwi_regressor +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cwi_regressor` is a English model originally trained by twigs. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cwi_regressor_en_5.2.2_3.0_1703987238312.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cwi_regressor_en_5.2.2_3.0_1703987238312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cwi_regressor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cwi_regressor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cwi_regressor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/twigs/cwi-regressor \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-datafest_subcategory_en.md b/docs/_posts/ahmedlone127/2023-12-31-datafest_subcategory_en.md new file mode 100644 index 0000000000000..594f337a3687a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-datafest_subcategory_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English datafest_subcategory DistilBertForSequenceClassification from taroii +author: John Snow Labs +name: datafest_subcategory +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datafest_subcategory` is a English model originally trained by taroii. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datafest_subcategory_en_5.2.2_3.0_1704047776988.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datafest_subcategory_en_5.2.2_3.0_1704047776988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("datafest_subcategory","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("datafest_subcategory","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|datafest_subcategory| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/taroii/datafest_subcategory \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-debug_example2_dexion_en.md b/docs/_posts/ahmedlone127/2023-12-31-debug_example2_dexion_en.md new file mode 100644 index 0000000000000..2fd674102f37e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-debug_example2_dexion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English debug_example2_dexion DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: debug_example2_dexion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`debug_example2_dexion` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debug_example2_dexion_en_5.2.2_3.0_1704044601681.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debug_example2_dexion_en_5.2.2_3.0_1704044601681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example2_dexion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example2_dexion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|debug_example2_dexion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/debug-example2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-debug_example_dexion_en.md b/docs/_posts/ahmedlone127/2023-12-31-debug_example_dexion_en.md new file mode 100644 index 0000000000000..88f33c4d84743 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-debug_example_dexion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English debug_example_dexion DistilBertForSequenceClassification from dexion +author: John Snow Labs +name: debug_example_dexion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`debug_example_dexion` is a English model originally trained by dexion. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debug_example_dexion_en_5.2.2_3.0_1703998713911.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debug_example_dexion_en_5.2.2_3.0_1703998713911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_dexion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("debug_example_dexion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|debug_example_dexion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dexion/debug-example \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-depressed_tweet_detection_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-31-depressed_tweet_detection_distilbert_en.md new file mode 100644 index 0000000000000..2648148c4ddb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-depressed_tweet_detection_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English depressed_tweet_detection_distilbert DistilBertForSequenceClassification from dima806 +author: John Snow Labs +name: depressed_tweet_detection_distilbert +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depressed_tweet_detection_distilbert` is a English model originally trained by dima806. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depressed_tweet_detection_distilbert_en_5.2.2_3.0_1704051255661.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depressed_tweet_detection_distilbert_en_5.2.2_3.0_1704051255661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("depressed_tweet_detection_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("depressed_tweet_detection_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|depressed_tweet_detection_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/dima806/depressed-tweet-detection-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-dev_nodev_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-dev_nodev_model_en.md new file mode 100644 index 0000000000000..5d8ee40c6b589 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-dev_nodev_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dev_nodev_model DistilBertForSequenceClassification from cooperx86 +author: John Snow Labs +name: dev_nodev_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dev_nodev_model` is a English model originally trained by cooperx86. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dev_nodev_model_en_5.2.2_3.0_1704066110848.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dev_nodev_model_en_5.2.2_3.0_1704066110848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dev_nodev_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dev_nodev_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dev_nodev_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/cooperx86/dev_nodev_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-dipterv1_en.md b/docs/_posts/ahmedlone127/2023-12-31-dipterv1_en.md new file mode 100644 index 0000000000000..60645abcaa440 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-dipterv1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English dipterv1 DistilBertForSequenceClassification from midwinter73 +author: John Snow Labs +name: dipterv1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dipterv1` is a English model originally trained by midwinter73. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dipterv1_en_5.2.2_3.0_1703994167926.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dipterv1_en_5.2.2_3.0_1703994167926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("dipterv1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("dipterv1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|dipterv1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/midwinter73/dipterv1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distil_bert_extra_context_en.md b/docs/_posts/ahmedlone127/2023-12-31-distil_bert_extra_context_en.md new file mode 100644 index 0000000000000..4a2ba179bfd64 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distil_bert_extra_context_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distil_bert_extra_context DistilBertForSequenceClassification from Brecon +author: John Snow Labs +name: distil_bert_extra_context +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_extra_context` is a English model originally trained by Brecon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_extra_context_en_5.2.2_3.0_1703994033178.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_extra_context_en_5.2.2_3.0_1703994033178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_bert_extra_context","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distil_bert_extra_context","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distil_bert_extra_context| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Brecon/distil_bert_extra_context \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990_xx.md new file mode 100644 index 0000000000000..fe1417d630bcd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990 DistilBertForSequenceClassification from agustinst1990 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990` is a Multilingual model originally trained by agustinst1990. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990_xx_5.2.2_3.0_1704052189601.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990_xx_5.2.2_3.0_1704052189601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_emotion_agustinst1990| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/agustinst1990/distilbert-base-multilingual-cased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97_xx.md new file mode 100644 index 0000000000000..f3ae17c8a2a39 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97 DistilBertForSequenceClassification from Alyss97 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97` is a Multilingual model originally trained by Alyss97. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97_xx_5.2.2_3.0_1703986548967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97_xx_5.2.2_3.0_1703986548967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_alyss97| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Alyss97/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023_xx.md new file mode 100644 index 0000000000000..20094aac88163 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023 DistilBertForSequenceClassification from Hendrik2023 +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023` is a Multilingual model originally trained by Hendrik2023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023_xx_5.2.2_3.0_1704001458088.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023_xx_5.2.2_3.0_1704001458088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_hendrik2023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|504.7 MB| + +## References + +https://huggingface.co/Hendrik2023/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_tass_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_tass_xx.md new file mode 100644 index 0000000000000..ceec5c565ed7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_finetuned_tass_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_tass DistilBertForSequenceClassification from helenpy +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_tass +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_tass` is a Multilingual model originally trained by helenpy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_tass_xx_5.2.2_3.0_1704005892358.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_tass_xx_5.2.2_3.0_1704005892358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_tass","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_tass","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_tass| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/helenpy/distilbert-base-multilingual-cased-finetuned-tass \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64_xx.md new file mode 100644 index 0000000000000..de64f0db0bd31 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64_xx_5.2.2_3.0_1704049634927.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64_xx_5.2.2_3.0_1704049634927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_64| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false-bs-64 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8_xx.md new file mode 100644 index 0000000000000..868917484eb88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8_xx_5.2.2_3.0_1704046078124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8_xx_5.2.2_3.0_1704046078124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false_bosnian_8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false-bs-8 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_xx.md new file mode 100644 index 0000000000000..4e26a6a27b98d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_false_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_false DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_false +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_false` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_xx_5.2.2_3.0_1703981392093.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_false_xx_5.2.2_3.0_1703981392093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_false","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_false| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-false \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128_xx.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128_xx.md new file mode 100644 index 0000000000000..5eec484345bbb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128 DistilBertForSequenceClassification from DrishtiSharma +author: John Snow Labs +name: distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128 +date: 2023-12-31 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128` is a Multilingual model originally trained by DrishtiSharma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128_xx_5.2.2_3.0_1704050283148.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128_xx_5.2.2_3.0_1704050283148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_language_detection_fp16_true_bosnian_128| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.6 MB| + +## References + +https://huggingface.co/DrishtiSharma/distilbert-base-multilingual-cased-language-detection-fp16-true-bs-128 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_toxicity_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_toxicity_en.md new file mode 100644 index 0000000000000..4c1f6541520c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_toxicity_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_toxicity DistilBertForSequenceClassification from mskov +author: John Snow Labs +name: distilbert_base_toxicity +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_toxicity` is a English model originally trained by mskov. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_toxicity_en_5.2.2_3.0_1704051699747.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_toxicity_en_5.2.2_3.0_1704051699747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_toxicity","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_toxicity","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_toxicity| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mskov/distilbert-base-toxicity \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cls_intent_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cls_intent_en.md new file mode 100644 index 0000000000000..27651edf7a0f5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cls_intent_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_cls_intent DistilBertForSequenceClassification from ThuyNT03 +author: John Snow Labs +name: distilbert_base_uncased_cls_intent +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cls_intent` is a English model originally trained by ThuyNT03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cls_intent_en_5.2.2_3.0_1703993162604.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cls_intent_en_5.2.2_3.0_1703993162604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cls_intent","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cls_intent","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_cls_intent| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ThuyNT03/distilbert-base-uncased-cls-intent \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cola_rexxy_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cola_rexxy_en.md new file mode 100644 index 0000000000000..53086b92e8121 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_cola_rexxy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_cola_rexxy DistilBertForSequenceClassification from Rexxy +author: John Snow Labs +name: distilbert_base_uncased_cola_rexxy +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cola_rexxy` is a English model originally trained by Rexxy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_rexxy_en_5.2.2_3.0_1704048672788.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_rexxy_en_5.2.2_3.0_1704048672788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cola_rexxy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_cola_rexxy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_cola_rexxy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rexxy/distilbert-base-uncased-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ashuku_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ashuku_en.md new file mode 100644 index 0000000000000..7cdf1ada389fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ashuku_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_ashuku DistilBertForSequenceClassification from Ashuku +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_ashuku +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ashuku` is a English model originally trained by Ashuku. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ashuku_en_5.2.2_3.0_1704053064839.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ashuku_en_5.2.2_3.0_1704053064839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ashuku","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ashuku","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_ashuku| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/Ashuku/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ffalcao_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ffalcao_en.md new file mode 100644 index 0000000000000..e244f938cd040 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_ffalcao_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_ffalcao DistilBertForSequenceClassification from ffalcao +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_ffalcao +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ffalcao` is a English model originally trained by ffalcao. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ffalcao_en_5.2.2_3.0_1703993606650.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ffalcao_en_5.2.2_3.0_1703993606650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ffalcao","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_ffalcao","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_ffalcao| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ffalcao/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_greyfoss_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_greyfoss_en.md new file mode 100644 index 0000000000000..d2a9786914cf1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_greyfoss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_greyfoss DistilBertForSequenceClassification from greyfoss +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_greyfoss +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_greyfoss` is a English model originally trained by greyfoss. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_greyfoss_en_5.2.2_3.0_1704049265683.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_greyfoss_en_5.2.2_3.0_1704049265683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_greyfoss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_greyfoss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_greyfoss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/greyfoss/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_mabrouk_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_mabrouk_en.md new file mode 100644 index 0000000000000..cae7c12957241 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_mabrouk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_mabrouk DistilBertForSequenceClassification from mabrouk +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_mabrouk +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_mabrouk` is a English model originally trained by mabrouk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mabrouk_en_5.2.2_3.0_1704047982317.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mabrouk_en_5.2.2_3.0_1704047982317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_mabrouk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_mabrouk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_mabrouk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/mabrouk/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_nuatmochoi_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_nuatmochoi_en.md new file mode 100644 index 0000000000000..f37d3d854b42a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_nuatmochoi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_nuatmochoi DistilBertForSequenceClassification from nuatmochoi +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_nuatmochoi +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_nuatmochoi` is a English model originally trained by nuatmochoi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nuatmochoi_en_5.2.2_3.0_1704001169469.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_nuatmochoi_en_5.2.2_3.0_1704001169469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_nuatmochoi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_nuatmochoi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_nuatmochoi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nuatmochoi/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_r4ghu_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_r4ghu_en.md new file mode 100644 index 0000000000000..cc3b3c8abd179 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_r4ghu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_r4ghu DistilBertForSequenceClassification from r4ghu +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_r4ghu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_r4ghu` is a English model originally trained by r4ghu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_r4ghu_en_5.2.2_3.0_1703999890836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_r4ghu_en_5.2.2_3.0_1703999890836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_r4ghu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_r4ghu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_r4ghu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/r4ghu/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_svensk_k_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_svensk_k_en.md new file mode 100644 index 0000000000000..23dcede20bbf6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_distilled_clinc_svensk_k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_distilled_clinc_svensk_k DistilBertForSequenceClassification from svensk-k +author: John Snow Labs +name: distilbert_base_uncased_distilled_clinc_svensk_k +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_svensk_k` is a English model originally trained by svensk-k. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_svensk_k_en_5.2.2_3.0_1704007430235.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_svensk_k_en_5.2.2_3.0_1704007430235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_svensk_k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_distilled_clinc_svensk_k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_distilled_clinc_svensk_k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/svensk-k/distilbert-base-uncased-distilled-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_dsc_nepal_bhasa_cllbck_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_dsc_nepal_bhasa_cllbck_en.md new file mode 100644 index 0000000000000..df58822e99acd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_dsc_nepal_bhasa_cllbck_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_dsc_nepal_bhasa_cllbck DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: distilbert_base_uncased_dsc_nepal_bhasa_cllbck +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_dsc_nepal_bhasa_cllbck` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_nepal_bhasa_cllbck_en_5.2.2_3.0_1704046788779.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dsc_nepal_bhasa_cllbck_en_5.2.2_3.0_1704046788779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc_nepal_bhasa_cllbck","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_dsc_nepal_bhasa_cllbck","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_dsc_nepal_bhasa_cllbck| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/distilbert-base-uncased-DSC-new-cllbck \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306_en.md new file mode 100644 index 0000000000000..ce644acbb8032 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306 DistilBertForSequenceClassification from pansysy +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306` is a English model originally trained by pansysy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306_en_5.2.2_3.0_1704005520059.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306_en_5.2.2_3.0_1704005520059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_emotion_ft_3306| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pansysy/distilbert-base-uncased_emotion_ft_0416_emotion_ft_3306 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_exlegendlong_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_exlegendlong_en.md new file mode 100644 index 0000000000000..a239c8af014df --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_exlegendlong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_exlegendlong DistilBertForSequenceClassification from exlegendlong +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_exlegendlong +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_exlegendlong` is a English model originally trained by exlegendlong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_exlegendlong_en_5.2.2_3.0_1704050733269.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_exlegendlong_en_5.2.2_3.0_1704050733269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_exlegendlong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_exlegendlong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_exlegendlong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/exlegendlong/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_zhaoguoqing_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_zhaoguoqing_en.md new file mode 100644 index 0000000000000..36887b04274fb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_0416_zhaoguoqing_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_zhaoguoqing DistilBertForSequenceClassification from zhaoguoqing +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_zhaoguoqing +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_zhaoguoqing` is a English model originally trained by zhaoguoqing. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_zhaoguoqing_en_5.2.2_3.0_1704057352340.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_zhaoguoqing_en_5.2.2_3.0_1704057352340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_zhaoguoqing","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_zhaoguoqing","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_zhaoguoqing| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zhaoguoqing/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_1701_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_1701_en.md new file mode 100644 index 0000000000000..21c6dae5acf34 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_emotion_ft_1701_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_1701 DistilBertForSequenceClassification from pansysy +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_1701 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_1701` is a English model originally trained by pansysy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_1701_en_5.2.2_3.0_1704066943681.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_1701_en_5.2.2_3.0_1704066943681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_1701","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_1701","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_1701| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pansysy/distilbert-base-uncased_emotion_ft_1701 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fine_tuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fine_tuned_emotion_en.md new file mode 100644 index 0000000000000..e045ffcbc3d1c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fine_tuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fine_tuned_emotion DistilBertForSequenceClassification from juanxo90 +author: John Snow Labs +name: distilbert_base_uncased_fine_tuned_emotion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tuned_emotion` is a English model originally trained by juanxo90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_emotion_en_5.2.2_3.0_1703980892709.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_emotion_en_5.2.2_3.0_1703980892709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fine_tuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fine_tuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/juanxo90/distilbert-base-uncased-fine-tuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014_en.md new file mode 100644 index 0000000000000..181dfa4820034 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014 DistilBertForSequenceClassification from chenfeng12014 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014` is a English model originally trained by chenfeng12014. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014_en_5.2.2_3.0_1704045842190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014_en_5.2.2_3.0_1704045842190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_chenfeng12014| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/chenfeng12014/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_karenliu_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_karenliu_en.md new file mode 100644 index 0000000000000..147b9ae554fc8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_karenliu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_karenliu DistilBertForSequenceClassification from karenliu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_karenliu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_karenliu` is a English model originally trained by karenliu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_karenliu_en_5.2.2_3.0_1704046238666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_karenliu_en_5.2.2_3.0_1704046238666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_karenliu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_karenliu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_karenliu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/karenliu/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_krystal4820_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_krystal4820_en.md new file mode 100644 index 0000000000000..b29147d02f938 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_krystal4820_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_krystal4820 DistilBertForSequenceClassification from krystal4820 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_krystal4820 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_krystal4820` is a English model originally trained by krystal4820. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_krystal4820_en_5.2.2_3.0_1704009686068.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_krystal4820_en_5.2.2_3.0_1704009686068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_krystal4820","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_krystal4820","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_krystal4820| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/krystal4820/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_royhu_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_royhu_en.md new file mode 100644 index 0000000000000..29261b68ecc2f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_adl_hw1_royhu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_royhu DistilBertForSequenceClassification from royhu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_royhu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_royhu` is a English model originally trained by royhu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_royhu_en_5.2.2_3.0_1704046414534.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_royhu_en_5.2.2_3.0_1704046414534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_royhu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_royhu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_royhu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/royhu/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_banking_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_banking_en.md new file mode 100644 index 0000000000000..7a21809331324 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_banking_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_banking DistilBertForSequenceClassification from kaladin11 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_banking +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_banking` is a English model originally trained by kaladin11. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_banking_en_5.2.2_3.0_1704045579156.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_banking_en_5.2.2_3.0_1704045579156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_banking","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_banking","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_banking| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/kaladin11/distilbert-base-uncased-finetuned-banking \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_chiatzu_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_chiatzu_en.md new file mode 100644 index 0000000000000..66c30094ed109 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_chiatzu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_chiatzu DistilBertForSequenceClassification from chiatzu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_chiatzu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_chiatzu` is a English model originally trained by chiatzu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_chiatzu_en_5.2.2_3.0_1704051549794.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_chiatzu_en_5.2.2_3.0_1704051549794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_chiatzu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_chiatzu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_chiatzu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chiatzu/distilbert-base-uncased-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_andrew45_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_andrew45_en.md new file mode 100644 index 0000000000000..adb13a943d58b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_andrew45_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_andrew45 DistilBertForSequenceClassification from andrew45 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_andrew45 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_andrew45` is a English model originally trained by andrew45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_andrew45_en_5.2.2_3.0_1704052371709.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_andrew45_en_5.2.2_3.0_1704052371709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_andrew45","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_andrew45","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_andrew45| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/andrew45/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_changki_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_changki_en.md new file mode 100644 index 0000000000000..1051e05f84096 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_changki_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_changki DistilBertForSequenceClassification from changki +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_changki +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_changki` is a English model originally trained by changki. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_changki_en_5.2.2_3.0_1703992223184.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_changki_en_5.2.2_3.0_1703992223184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_changki","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_changki","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_changki| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/changki/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_ckandemir_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_ckandemir_en.md new file mode 100644 index 0000000000000..84fd69ea08211 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_ckandemir_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_ckandemir DistilBertForSequenceClassification from ckandemir +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_ckandemir +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ckandemir` is a English model originally trained by ckandemir. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ckandemir_en_5.2.2_3.0_1704066046427.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ckandemir_en_5.2.2_3.0_1704066046427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ckandemir","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_ckandemir","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_ckandemir| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ckandemir/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_hxstar_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_hxstar_en.md new file mode 100644 index 0000000000000..261a06e8efba4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_hxstar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_hxstar DistilBertForSequenceClassification from hxstar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_hxstar +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_hxstar` is a English model originally trained by hxstar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hxstar_en_5.2.2_3.0_1703999541788.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hxstar_en_5.2.2_3.0_1703999541788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_hxstar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_hxstar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_hxstar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/hxstar/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jamesnj_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jamesnj_en.md new file mode 100644 index 0000000000000..90b9e91e770d4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jamesnj_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_jamesnj DistilBertForSequenceClassification from JamesNJ +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_jamesnj +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_jamesnj` is a English model originally trained by JamesNJ. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jamesnj_en_5.2.2_3.0_1704062330372.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jamesnj_en_5.2.2_3.0_1704062330372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jamesnj","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jamesnj","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_jamesnj| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/JamesNJ/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jkraushaar_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jkraushaar_en.md new file mode 100644 index 0000000000000..cd4943a11e41d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_jkraushaar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_jkraushaar DistilBertForSequenceClassification from jkraushaar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_jkraushaar +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_jkraushaar` is a English model originally trained by jkraushaar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jkraushaar_en_5.2.2_3.0_1704008991507.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jkraushaar_en_5.2.2_3.0_1704008991507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jkraushaar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_jkraushaar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_jkraushaar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/jkraushaar/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_nuatmochoi_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_nuatmochoi_en.md new file mode 100644 index 0000000000000..bf74d2875a12a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_nuatmochoi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_nuatmochoi DistilBertForSequenceClassification from nuatmochoi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_nuatmochoi +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_nuatmochoi` is a English model originally trained by nuatmochoi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nuatmochoi_en_5.2.2_3.0_1704044943582.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nuatmochoi_en_5.2.2_3.0_1704044943582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nuatmochoi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_nuatmochoi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_nuatmochoi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/nuatmochoi/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_penguinman73_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_penguinman73_en.md new file mode 100644 index 0000000000000..45911addedcab --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_penguinman73_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_penguinman73 DistilBertForSequenceClassification from penguinman73 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_penguinman73 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_penguinman73` is a English model originally trained by penguinman73. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_penguinman73_en_5.2.2_3.0_1704051066089.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_penguinman73_en_5.2.2_3.0_1704051066089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_penguinman73","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_penguinman73","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_penguinman73| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/penguinman73/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_r0llingclouds_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_r0llingclouds_en.md new file mode 100644 index 0000000000000..c77da9e2a3e12 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_r0llingclouds_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_r0llingclouds DistilBertForSequenceClassification from r0llingclouds +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_r0llingclouds +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_r0llingclouds` is a English model originally trained by r0llingclouds. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_r0llingclouds_en_5.2.2_3.0_1703995688271.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_r0llingclouds_en_5.2.2_3.0_1703995688271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_r0llingclouds","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_r0llingclouds","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_r0llingclouds| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/r0llingclouds/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_sangsooim_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_sangsooim_en.md new file mode 100644 index 0000000000000..0884ce70fc646 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_sangsooim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_sangsooim DistilBertForSequenceClassification from SangsooIm +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_sangsooim +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_sangsooim` is a English model originally trained by SangsooIm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sangsooim_en_5.2.2_3.0_1704045744111.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sangsooim_en_5.2.2_3.0_1704045744111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_sangsooim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_sangsooim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_sangsooim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/SangsooIm/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_yezune_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_yezune_en.md new file mode 100644 index 0000000000000..5561bf6b18e98 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_clinc_yezune_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_clinc_yezune DistilBertForSequenceClassification from yezune +author: John Snow Labs +name: distilbert_base_uncased_finetuned_clinc_yezune +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_yezune` is a English model originally trained by yezune. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yezune_en_5.2.2_3.0_1704044762577.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yezune_en_5.2.2_3.0_1704044762577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yezune","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_clinc_yezune","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_clinc_yezune| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/yezune/distilbert-base-uncased-finetuned-clinc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_agarc15_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_agarc15_en.md new file mode 100644 index 0000000000000..9848d88b0600a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_agarc15_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_agarc15 DistilBertForSequenceClassification from agarc15 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_agarc15 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_agarc15` is a English model originally trained by agarc15. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_agarc15_en_5.2.2_3.0_1704050733863.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_agarc15_en_5.2.2_3.0_1704050733863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_agarc15","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_agarc15","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_agarc15| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/agarc15/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ajay_y_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ajay_y_en.md new file mode 100644 index 0000000000000..2e8e306be3f59 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ajay_y_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_ajay_y DistilBertForSequenceClassification from ajay-y +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_ajay_y +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ajay_y` is a English model originally trained by ajay-y. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ajay_y_en_5.2.2_3.0_1704044608850.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ajay_y_en_5.2.2_3.0_1704044608850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ajay_y","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ajay_y","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_ajay_y| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ajay-y/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_basgalupp_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_basgalupp_en.md new file mode 100644 index 0000000000000..60dd9659a37c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_basgalupp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_basgalupp DistilBertForSequenceClassification from basgalupp +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_basgalupp +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_basgalupp` is a English model originally trained by basgalupp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_basgalupp_en_5.2.2_3.0_1704048714133.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_basgalupp_en_5.2.2_3.0_1704048714133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_basgalupp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_basgalupp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_basgalupp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/basgalupp/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_batatinhafeliz_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_batatinhafeliz_en.md new file mode 100644 index 0000000000000..13d18c17da9bc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_batatinhafeliz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_batatinhafeliz DistilBertForSequenceClassification from BatatinhaFeliz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_batatinhafeliz +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_batatinhafeliz` is a English model originally trained by BatatinhaFeliz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_batatinhafeliz_en_5.2.2_3.0_1704006277586.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_batatinhafeliz_en_5.2.2_3.0_1704006277586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_batatinhafeliz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_batatinhafeliz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_batatinhafeliz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/BatatinhaFeliz/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_eiziese_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_eiziese_en.md new file mode 100644 index 0000000000000..6bff294e91664 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_eiziese_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_eiziese DistilBertForSequenceClassification from eiziese +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_eiziese +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_eiziese` is a English model originally trained by eiziese. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_eiziese_en_5.2.2_3.0_1704046032467.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_eiziese_en_5.2.2_3.0_1704046032467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_eiziese","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_eiziese","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_eiziese| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|251.4 MB| + +## References + +https://huggingface.co/eiziese/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_heedou_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_heedou_en.md new file mode 100644 index 0000000000000..4fd7e213feb0e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_heedou_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_heedou DistilBertForSequenceClassification from heedou +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_heedou +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_heedou` is a English model originally trained by heedou. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_heedou_en_5.2.2_3.0_1703991098565.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_heedou_en_5.2.2_3.0_1703991098565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_heedou","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_heedou","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_heedou| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/heedou/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ife_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ife_en.md new file mode 100644 index 0000000000000..cb14a58a5a1e1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_ife_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_ife DistilBertForSequenceClassification from Ife +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_ife +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ife` is a English model originally trained by Ife. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ife_en_5.2.2_3.0_1704048171186.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ife_en_5.2.2_3.0_1704048171186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ife","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ife","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_ife| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Ife/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jdemple_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jdemple_en.md new file mode 100644 index 0000000000000..d0a7d76b8ad4e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jdemple_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jdemple DistilBertForSequenceClassification from jdemple +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jdemple +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jdemple` is a English model originally trained by jdemple. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jdemple_en_5.2.2_3.0_1704065507627.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jdemple_en_5.2.2_3.0_1704065507627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jdemple","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jdemple","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jdemple| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jdemple/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jjimdark_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jjimdark_en.md new file mode 100644 index 0000000000000..74784551ec915 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_jjimdark_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_jjimdark DistilBertForSequenceClassification from jjimdark +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_jjimdark +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jjimdark` is a English model originally trained by jjimdark. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jjimdark_en_5.2.2_3.0_1703994671195.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jjimdark_en_5.2.2_3.0_1703994671195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jjimdark","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_jjimdark","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_jjimdark| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jjimdark/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kanlee_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kanlee_en.md new file mode 100644 index 0000000000000..99a4083a43742 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kanlee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_kanlee DistilBertForSequenceClassification from kanlee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_kanlee +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kanlee` is a English model originally trained by kanlee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kanlee_en_5.2.2_3.0_1704060042696.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kanlee_en_5.2.2_3.0_1704060042696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kanlee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kanlee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_kanlee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kanlee/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kibru_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kibru_en.md new file mode 100644 index 0000000000000..f29ece920233f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_kibru_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_kibru DistilBertForSequenceClassification from kibru +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_kibru +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kibru` is a English model originally trained by kibru. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kibru_en_5.2.2_3.0_1704048008836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kibru_en_5.2.2_3.0_1704048008836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kibru","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_kibru","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_kibru| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kibru/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nglong0304_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nglong0304_en.md new file mode 100644 index 0000000000000..d6c9e885d8390 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nglong0304_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_nglong0304 DistilBertForSequenceClassification from nglong0304 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_nglong0304 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nglong0304` is a English model originally trained by nglong0304. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nglong0304_en_5.2.2_3.0_1704059245128.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nglong0304_en_5.2.2_3.0_1704059245128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nglong0304","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nglong0304","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_nglong0304| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nglong0304/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nirav9spl_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nirav9spl_en.md new file mode 100644 index 0000000000000..23e94eea3777b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_nirav9spl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_nirav9spl DistilBertForSequenceClassification from nirav9spl +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_nirav9spl +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nirav9spl` is a English model originally trained by nirav9spl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nirav9spl_en_5.2.2_3.0_1703997717571.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nirav9spl_en_5.2.2_3.0_1703997717571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nirav9spl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_nirav9spl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_nirav9spl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nirav9spl/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_sq8_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_sq8_en.md new file mode 100644 index 0000000000000..dc5ecabc2938d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_sq8_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_sq8 DistilBertForSequenceClassification from SQ8 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_sq8 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_sq8` is a English model originally trained by SQ8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sq8_en_5.2.2_3.0_1704052487961.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sq8_en_5.2.2_3.0_1704052487961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sq8","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_sq8","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_sq8| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SQ8/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_xbb123456_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_xbb123456_en.md new file mode 100644 index 0000000000000..0a28ad4a04940 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_xbb123456_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_xbb123456 DistilBertForSequenceClassification from xbb123456 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_xbb123456 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_xbb123456` is a English model originally trained by xbb123456. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_xbb123456_en_5.2.2_3.0_1704053818576.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_xbb123456_en_5.2.2_3.0_1704053818576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_xbb123456","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_xbb123456","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_xbb123456| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/xbb123456/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zangyuchen2008_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zangyuchen2008_en.md new file mode 100644 index 0000000000000..d7c69ac9ca733 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zangyuchen2008_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_zangyuchen2008 DistilBertForSequenceClassification from zangyuchen2008 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_zangyuchen2008 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zangyuchen2008` is a English model originally trained by zangyuchen2008. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zangyuchen2008_en_5.2.2_3.0_1704047790656.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zangyuchen2008_en_5.2.2_3.0_1704047790656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zangyuchen2008","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zangyuchen2008","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_zangyuchen2008| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zangyuchen2008/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zgold5670_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zgold5670_en.md new file mode 100644 index 0000000000000..dcf503fa84508 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zgold5670_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_zgold5670 DistilBertForSequenceClassification from zgold5670 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_zgold5670 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zgold5670` is a English model originally trained by zgold5670. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zgold5670_en_5.2.2_3.0_1704046920061.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zgold5670_en_5.2.2_3.0_1704046920061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zgold5670","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zgold5670","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_zgold5670| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/zgold5670/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zzxyz_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zzxyz_en.md new file mode 100644 index 0000000000000..d9e5740fcbac0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_cola_zzxyz_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_zzxyz DistilBertForSequenceClassification from zzxyz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_zzxyz +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zzxyz` is a English model originally trained by zzxyz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zzxyz_en_5.2.2_3.0_1704053320135.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zzxyz_en_5.2.2_3.0_1704053320135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zzxyz","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_zzxyz","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_zzxyz| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zzxyz/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_data_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_data_en.md new file mode 100644 index 0000000000000..1af5ead021eb7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_custom_data DistilBertForSequenceClassification from pavithrav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_custom_data +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_custom_data` is a English model originally trained by pavithrav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_data_en_5.2.2_3.0_1704049853971.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_data_en_5.2.2_3.0_1704049853971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_custom_data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_custom_data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_custom_data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-custom-data \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_dataset_en.md new file mode 100644 index 0000000000000..b3d50e73bba0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_custom_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_custom_dataset DistilBertForSequenceClassification from pavithrav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_custom_dataset +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_custom_dataset` is a English model originally trained by pavithrav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_dataset_en_5.2.2_3.0_1704005631681.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_dataset_en_5.2.2_3.0_1704005631681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_custom_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_custom_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_custom_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-custom-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_dataset_critmis_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_dataset_critmis_en.md new file mode 100644 index 0000000000000..c29b6cf7bad58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_dataset_critmis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_dataset_critmis DistilBertForSequenceClassification from Critmis +author: John Snow Labs +name: distilbert_base_uncased_finetuned_dataset_critmis +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dataset_critmis` is a English model originally trained by Critmis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dataset_critmis_en_5.2.2_3.0_1704048973557.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dataset_critmis_en_5.2.2_3.0_1704048973557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_dataset_critmis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_dataset_critmis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_dataset_critmis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Critmis/distilbert-base-uncased-finetuned-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotio_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotio_en.md new file mode 100644 index 0000000000000..37de9c830122b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotio_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotio DistilBertForSequenceClassification from Sarthak7777 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotio +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotio` is a English model originally trained by Sarthak7777. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotio_en_5.2.2_3.0_1704047652642.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotio_en_5.2.2_3.0_1704047652642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotio","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotio","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotio| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sarthak7777/distilbert-base-uncased-finetuned-emotio \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_1_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_1_en.md new file mode 100644 index 0000000000000..d2708654b06bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_1 DistilBertForSequenceClassification from piyushathawale +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_1` is a English model originally trained by piyushathawale. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_1_en_5.2.2_3.0_1704052506820.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_1_en_5.2.2_3.0_1704052506820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/piyushathawale/distilbert-base-uncased-finetuned-emotion-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_agneypraseed_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_agneypraseed_en.md new file mode 100644 index 0000000000000..5d021563c5c73 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_agneypraseed_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_agneypraseed DistilBertForSequenceClassification from AgneyPraseed +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_agneypraseed +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_agneypraseed` is a English model originally trained by AgneyPraseed. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agneypraseed_en_5.2.2_3.0_1704000923071.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agneypraseed_en_5.2.2_3.0_1704000923071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_agneypraseed","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_agneypraseed","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_agneypraseed| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AgneyPraseed/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ahmetcan16_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ahmetcan16_en.md new file mode 100644 index 0000000000000..293b56034222b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ahmetcan16_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ahmetcan16 DistilBertForSequenceClassification from Ahmetcan16 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ahmetcan16 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ahmetcan16` is a English model originally trained by Ahmetcan16. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmetcan16_en_5.2.2_3.0_1704045884476.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmetcan16_en_5.2.2_3.0_1704045884476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ahmetcan16","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ahmetcan16","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ahmetcan16| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ahmetcan16/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_allspace_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_allspace_en.md new file mode 100644 index 0000000000000..90d43894e39ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_allspace_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_allspace DistilBertForSequenceClassification from allspace +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_allspace +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_allspace` is a English model originally trained by allspace. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_allspace_en_5.2.2_3.0_1704004795498.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_allspace_en_5.2.2_3.0_1704004795498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_allspace","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_allspace","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_allspace| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/allspace/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_amulyalossfunction_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_amulyalossfunction_en.md new file mode 100644 index 0000000000000..e8af1cc226648 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_amulyalossfunction_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_amulyalossfunction DistilBertForSequenceClassification from Amulyalossfunction +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_amulyalossfunction +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_amulyalossfunction` is a English model originally trained by Amulyalossfunction. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amulyalossfunction_en_5.2.2_3.0_1704049778062.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amulyalossfunction_en_5.2.2_3.0_1704049778062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amulyalossfunction","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_amulyalossfunction","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_amulyalossfunction| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Amulyalossfunction/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anabach_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anabach_en.md new file mode 100644 index 0000000000000..343e6853b7ae9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anabach_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_anabach DistilBertForSequenceClassification from AnaBach +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_anabach +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_anabach` is a English model originally trained by AnaBach. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anabach_en_5.2.2_3.0_1703982711162.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anabach_en_5.2.2_3.0_1703982711162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anabach","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anabach","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_anabach| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AnaBach/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_andrew45_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_andrew45_en.md new file mode 100644 index 0000000000000..354b19531344f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_andrew45_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_andrew45 DistilBertForSequenceClassification from andrew45 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_andrew45 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andrew45` is a English model originally trained by andrew45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andrew45_en_5.2.2_3.0_1704000317659.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andrew45_en_5.2.2_3.0_1704000317659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_andrew45","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_andrew45","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_andrew45| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/andrew45/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anna052023_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anna052023_en.md new file mode 100644 index 0000000000000..d9cfe1f5cd215 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_anna052023_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_anna052023 DistilBertForSequenceClassification from anna052023 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_anna052023 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_anna052023` is a English model originally trained by anna052023. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anna052023_en_5.2.2_3.0_1704047381639.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_anna052023_en_5.2.2_3.0_1704047381639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anna052023","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_anna052023","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_anna052023| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anna052023/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baehong_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baehong_en.md new file mode 100644 index 0000000000000..22fea112e5751 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baehong_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_baehong DistilBertForSequenceClassification from baehong +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_baehong +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_baehong` is a English model originally trained by baehong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_baehong_en_5.2.2_3.0_1704060801097.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_baehong_en_5.2.2_3.0_1704060801097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_baehong","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_baehong","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_baehong| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/baehong/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baramshu_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baramshu_en.md new file mode 100644 index 0000000000000..044ca7215beea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_baramshu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_baramshu DistilBertForSequenceClassification from baramshu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_baramshu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_baramshu` is a English model originally trained by baramshu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_baramshu_en_5.2.2_3.0_1704002202947.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_baramshu_en_5.2.2_3.0_1704002202947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_baramshu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_baramshu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_baramshu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/baramshu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_choidonghun_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_choidonghun_en.md new file mode 100644 index 0000000000000..2a3d68dc56950 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_choidonghun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_choidonghun DistilBertForSequenceClassification from choidonghun +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_choidonghun +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_choidonghun` is a English model originally trained by choidonghun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_choidonghun_en_5.2.2_3.0_1704050328216.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_choidonghun_en_5.2.2_3.0_1704050328216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_choidonghun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_choidonghun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_choidonghun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/choidonghun/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_classification_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_classification_en.md new file mode 100644 index 0000000000000..991e6aba13b79 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_classification DistilBertForSequenceClassification from hxstar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_classification +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_classification` is a English model originally trained by hxstar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_classification_en_5.2.2_3.0_1704052326896.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_classification_en_5.2.2_3.0_1704052326896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hxstar/distilbert-base-uncased-finetuned-emotion-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_coder903_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_coder903_en.md new file mode 100644 index 0000000000000..a907d7592c869 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_coder903_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_coder903 DistilBertForSequenceClassification from coder903 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_coder903 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_coder903` is a English model originally trained by coder903. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_coder903_en_5.2.2_3.0_1704045731524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_coder903_en_5.2.2_3.0_1704045731524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_coder903","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_coder903","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_coder903| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/coder903/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cooperic_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cooperic_en.md new file mode 100644 index 0000000000000..84488263b43a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cooperic_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_cooperic DistilBertForSequenceClassification from cooperic +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_cooperic +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cooperic` is a English model originally trained by cooperic. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cooperic_en_5.2.2_3.0_1703993315289.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cooperic_en_5.2.2_3.0_1703993315289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cooperic","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cooperic","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_cooperic| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cooperic/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_couzhei_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_couzhei_en.md new file mode 100644 index 0000000000000..9ea0afd08c31a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_couzhei_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_couzhei DistilBertForSequenceClassification from couzhei +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_couzhei +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_couzhei` is a English model originally trained by couzhei. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_couzhei_en_5.2.2_3.0_1703999798538.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_couzhei_en_5.2.2_3.0_1703999798538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_couzhei","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_couzhei","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_couzhei| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/couzhei/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cvera_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cvera_en.md new file mode 100644 index 0000000000000..e391c091afdbc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_cvera_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_cvera DistilBertForSequenceClassification from cvera +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_cvera +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cvera` is a English model originally trained by cvera. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cvera_en_5.2.2_3.0_1703983098562.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cvera_en_5.2.2_3.0_1703983098562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cvera","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_cvera","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_cvera| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/cvera/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_datgtr_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_datgtr_en.md new file mode 100644 index 0000000000000..c5b7fb0430315 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_datgtr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_datgtr DistilBertForSequenceClassification from datgtr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_datgtr +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_datgtr` is a English model originally trained by datgtr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_datgtr_en_5.2.2_3.0_1704046644813.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_datgtr_en_5.2.2_3.0_1704046644813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_datgtr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_datgtr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_datgtr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/datgtr/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_deanmichaels_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_deanmichaels_en.md new file mode 100644 index 0000000000000..635f14c1688e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_deanmichaels_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_deanmichaels DistilBertForSequenceClassification from DeanMichaels +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_deanmichaels +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_deanmichaels` is a English model originally trained by DeanMichaels. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deanmichaels_en_5.2.2_3.0_1703994406495.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deanmichaels_en_5.2.2_3.0_1703994406495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_deanmichaels","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_deanmichaels","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_deanmichaels| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DeanMichaels/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dodododo2_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dodododo2_en.md new file mode 100644 index 0000000000000..49344b060cb7f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dodododo2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dodododo2 DistilBertForSequenceClassification from DoDodOdO2 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dodododo2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dodododo2` is a English model originally trained by DoDodOdO2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dodododo2_en_5.2.2_3.0_1704060333491.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dodododo2_en_5.2.2_3.0_1704060333491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dodododo2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dodododo2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dodododo2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DoDodOdO2/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dupe_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dupe_en.md new file mode 100644 index 0000000000000..8891f29b6ede0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_dupe_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_dupe DistilBertForSequenceClassification from thi-doan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_dupe +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dupe` is a English model originally trained by thi-doan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dupe_en_5.2.2_3.0_1703988867288.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dupe_en_5.2.2_3.0_1703988867288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dupe","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_dupe","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_dupe| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/thi-doan/distilbert-base-uncased-finetuned-emotion-dupe \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_elevent_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_elevent_en.md new file mode 100644 index 0000000000000..6b2b0a5180a0c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_elevent_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_elevent DistilBertForSequenceClassification from ElevenT +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_elevent +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_elevent` is a English model originally trained by ElevenT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_elevent_en_5.2.2_3.0_1703987334118.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_elevent_en_5.2.2_3.0_1703987334118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_elevent","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_elevent","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_elevent| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ElevenT/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ellielee_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ellielee_en.md new file mode 100644 index 0000000000000..d4c882bd57177 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ellielee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ellielee DistilBertForSequenceClassification from EllieLee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ellielee +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ellielee` is a English model originally trained by EllieLee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ellielee_en_5.2.2_3.0_1704044596693.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ellielee_en_5.2.2_3.0_1704044596693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ellielee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ellielee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ellielee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/EllieLee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_emmanuelalo52_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_emmanuelalo52_en.md new file mode 100644 index 0000000000000..bcd8e1e67c49d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_emmanuelalo52_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_emmanuelalo52 DistilBertForSequenceClassification from Emmanuelalo52 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_emmanuelalo52 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_emmanuelalo52` is a English model originally trained by Emmanuelalo52. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_emmanuelalo52_en_5.2.2_3.0_1704006816072.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_emmanuelalo52_en_5.2.2_3.0_1704006816072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_emmanuelalo52","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_emmanuelalo52","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_emmanuelalo52| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Emmanuelalo52/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gerti_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gerti_en.md new file mode 100644 index 0000000000000..f05e936201739 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gerti_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gerti DistilBertForSequenceClassification from Gerti +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gerti +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gerti` is a English model originally trained by Gerti. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gerti_en_5.2.2_3.0_1704052760872.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gerti_en_5.2.2_3.0_1704052760872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gerti","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gerti","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gerti| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Gerti/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_goorogoro13_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_goorogoro13_en.md new file mode 100644 index 0000000000000..58b9cc7872738 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_goorogoro13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_goorogoro13 DistilBertForSequenceClassification from goorogoro13 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_goorogoro13 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_goorogoro13` is a English model originally trained by goorogoro13. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goorogoro13_en_5.2.2_3.0_1704051394648.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goorogoro13_en_5.2.2_3.0_1704051394648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_goorogoro13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_goorogoro13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_goorogoro13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/goorogoro13/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gowestyang_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gowestyang_en.md new file mode 100644 index 0000000000000..5cfbe62fd83a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gowestyang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gowestyang DistilBertForSequenceClassification from gowestyang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gowestyang +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gowestyang` is a English model originally trained by gowestyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gowestyang_en_5.2.2_3.0_1704057524356.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gowestyang_en_5.2.2_3.0_1704057524356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gowestyang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gowestyang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gowestyang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gowestyang/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gptsoho_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gptsoho_en.md new file mode 100644 index 0000000000000..aff56addb00c5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_gptsoho_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_gptsoho DistilBertForSequenceClassification from gptsoho +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_gptsoho +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gptsoho` is a English model originally trained by gptsoho. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gptsoho_en_5.2.2_3.0_1704047339288.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gptsoho_en_5.2.2_3.0_1704047339288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gptsoho","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_gptsoho","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_gptsoho| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gptsoho/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_heeeeeji_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_heeeeeji_en.md new file mode 100644 index 0000000000000..943cab4078aec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_heeeeeji_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_heeeeeji DistilBertForSequenceClassification from heeeeeji +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_heeeeeji +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_heeeeeji` is a English model originally trained by heeeeeji. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_heeeeeji_en_5.2.2_3.0_1704006282336.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_heeeeeji_en_5.2.2_3.0_1704006282336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_heeeeeji","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_heeeeeji","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_heeeeeji| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/heeeeeji/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_hwatai_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_hwatai_en.md new file mode 100644 index 0000000000000..fbfada06f393e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_hwatai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_hwatai DistilBertForSequenceClassification from hwatai +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_hwatai +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hwatai` is a English model originally trained by hwatai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hwatai_en_5.2.2_3.0_1704052633564.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hwatai_en_5.2.2_3.0_1704052633564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hwatai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_hwatai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_hwatai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hwatai/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_isaranga_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_isaranga_en.md new file mode 100644 index 0000000000000..a7eb145540162 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_isaranga_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_isaranga DistilBertForSequenceClassification from isaranga +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_isaranga +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_isaranga` is a English model originally trained by isaranga. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_isaranga_en_5.2.2_3.0_1704052146641.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_isaranga_en_5.2.2_3.0_1704052146641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_isaranga","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_isaranga","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_isaranga| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/isaranga/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jacob314159_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jacob314159_en.md new file mode 100644 index 0000000000000..da6c0635c4db6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jacob314159_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jacob314159 DistilBertForSequenceClassification from jacob314159 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jacob314159 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jacob314159` is a English model originally trained by jacob314159. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jacob314159_en_5.2.2_3.0_1703987891458.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jacob314159_en_5.2.2_3.0_1703987891458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jacob314159","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jacob314159","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jacob314159| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jacob314159/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jhjlab_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jhjlab_en.md new file mode 100644 index 0000000000000..0e90fa8aade04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_jhjlab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jhjlab DistilBertForSequenceClassification from jhjlab +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jhjlab +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jhjlab` is a English model originally trained by jhjlab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jhjlab_en_5.2.2_3.0_1704047809743.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jhjlab_en_5.2.2_3.0_1704047809743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jhjlab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jhjlab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jhjlab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jhjlab/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_junf1122_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_junf1122_en.md new file mode 100644 index 0000000000000..e575af60308cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_junf1122_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_junf1122 DistilBertForSequenceClassification from JunF1122 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_junf1122 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_junf1122` is a English model originally trained by JunF1122. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junf1122_en_5.2.2_3.0_1704009686033.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junf1122_en_5.2.2_3.0_1704009686033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junf1122","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junf1122","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_junf1122| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JunF1122/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_khaled44_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_khaled44_en.md new file mode 100644 index 0000000000000..c7da11f6f60a7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_khaled44_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_khaled44 DistilBertForSequenceClassification from khaled44 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_khaled44 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_khaled44` is a English model originally trained by khaled44. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khaled44_en_5.2.2_3.0_1704051984771.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khaled44_en_5.2.2_3.0_1704051984771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_khaled44","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_khaled44","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_khaled44| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/khaled44/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kimwooglae_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kimwooglae_en.md new file mode 100644 index 0000000000000..731f36dc00674 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kimwooglae_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kimwooglae DistilBertForSequenceClassification from kimwooglae +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kimwooglae +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kimwooglae` is a English model originally trained by kimwooglae. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimwooglae_en_5.2.2_3.0_1704044757201.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimwooglae_en_5.2.2_3.0_1704044757201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kimwooglae","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kimwooglae","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kimwooglae| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kimwooglae/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkkh1_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkkh1_en.md new file mode 100644 index 0000000000000..1d3b4ea812747 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkkh1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kkkh1 DistilBertForSequenceClassification from kkkh1 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kkkh1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kkkh1` is a English model originally trained by kkkh1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kkkh1_en_5.2.2_3.0_1704002375637.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kkkh1_en_5.2.2_3.0_1704002375637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kkkh1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kkkh1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kkkh1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kkkh1/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkt4828_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkt4828_en.md new file mode 100644 index 0000000000000..62900cd133702 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kkt4828_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kkt4828 DistilBertForSequenceClassification from kkt4828 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kkt4828 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kkt4828` is a English model originally trained by kkt4828. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kkt4828_en_5.2.2_3.0_1704008286024.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kkt4828_en_5.2.2_3.0_1704008286024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kkt4828","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kkt4828","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kkt4828| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kkt4828/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kwholee_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kwholee_en.md new file mode 100644 index 0000000000000..d445bb103ff83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_kwholee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kwholee DistilBertForSequenceClassification from kwholee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kwholee +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kwholee` is a English model originally trained by kwholee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kwholee_en_5.2.2_3.0_1704004599279.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kwholee_en_5.2.2_3.0_1704004599279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kwholee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kwholee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kwholee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kwholee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_leonardo_avila_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_leonardo_avila_en.md new file mode 100644 index 0000000000000..f5c6004da090e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_leonardo_avila_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_leonardo_avila DistilBertForSequenceClassification from leonardo-avila +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_leonardo_avila +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leonardo_avila` is a English model originally trained by leonardo-avila. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leonardo_avila_en_5.2.2_3.0_1704048860688.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leonardo_avila_en_5.2.2_3.0_1704048860688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leonardo_avila","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_leonardo_avila","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_leonardo_avila| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leonardo-avila/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_linghypshen_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_linghypshen_en.md new file mode 100644 index 0000000000000..f7274de8b7996 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_linghypshen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_linghypshen DistilBertForSequenceClassification from linghypshen +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_linghypshen +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_linghypshen` is a English model originally trained by linghypshen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_linghypshen_en_5.2.2_3.0_1704046677301.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_linghypshen_en_5.2.2_3.0_1704046677301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_linghypshen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_linghypshen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_linghypshen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/linghypshen/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_lulu0630_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_lulu0630_en.md new file mode 100644 index 0000000000000..9d8de775519f3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_lulu0630_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lulu0630 DistilBertForSequenceClassification from LuLu0630 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lulu0630 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lulu0630` is a English model originally trained by LuLu0630. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lulu0630_en_5.2.2_3.0_1703999525020.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lulu0630_en_5.2.2_3.0_1703999525020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lulu0630","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lulu0630","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lulu0630| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LuLu0630/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_m0saan_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_m0saan_en.md new file mode 100644 index 0000000000000..1fc3c3f4043ad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_m0saan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_m0saan DistilBertForSequenceClassification from m0saan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_m0saan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_m0saan` is a English model originally trained by m0saan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_m0saan_en_5.2.2_3.0_1703996918218.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_m0saan_en_5.2.2_3.0_1703996918218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_m0saan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_m0saan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_m0saan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/m0saan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_manjaro_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_manjaro_en.md new file mode 100644 index 0000000000000..d86753be48098 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_manjaro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_manjaro DistilBertForSequenceClassification from Manjaro +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_manjaro +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_manjaro` is a English model originally trained by Manjaro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_manjaro_en_5.2.2_3.0_1704048154843.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_manjaro_en_5.2.2_3.0_1704048154843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_manjaro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_manjaro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_manjaro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Manjaro/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mattelone_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mattelone_en.md new file mode 100644 index 0000000000000..dce634666cde1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mattelone_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mattelone DistilBertForSequenceClassification from mattelone +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mattelone +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mattelone` is a English model originally trained by mattelone. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mattelone_en_5.2.2_3.0_1704046268960.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mattelone_en_5.2.2_3.0_1704046268960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mattelone","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mattelone","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mattelone| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mattelone/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mingkom_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mingkom_en.md new file mode 100644 index 0000000000000..560f23f5d8389 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mingkom_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mingkom DistilBertForSequenceClassification from mingkom +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mingkom +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mingkom` is a English model originally trained by mingkom. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mingkom_en_5.2.2_3.0_1704052823655.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mingkom_en_5.2.2_3.0_1704052823655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mingkom","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mingkom","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mingkom| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mingkom/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_miyao_haruto_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_miyao_haruto_en.md new file mode 100644 index 0000000000000..1d46cbe50c5d4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_miyao_haruto_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_miyao_haruto DistilBertForSequenceClassification from miyao-haruto +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_miyao_haruto +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_miyao_haruto` is a English model originally trained by miyao-haruto. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_miyao_haruto_en_5.2.2_3.0_1703998815493.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_miyao_haruto_en_5.2.2_3.0_1703998815493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_miyao_haruto","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_miyao_haruto","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_miyao_haruto| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/miyao-haruto/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mm9289_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mm9289_en.md new file mode 100644 index 0000000000000..5f657dae6d21b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mm9289_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mm9289 DistilBertForSequenceClassification from mm9289 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mm9289 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mm9289` is a English model originally trained by mm9289. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mm9289_en_5.2.2_3.0_1704045558334.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mm9289_en_5.2.2_3.0_1704045558334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mm9289","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mm9289","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mm9289| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mm9289/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mtxslv_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mtxslv_en.md new file mode 100644 index 0000000000000..770c1effb45bf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mtxslv_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mtxslv DistilBertForSequenceClassification from mtxslv +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mtxslv +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mtxslv` is a English model originally trained by mtxslv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mtxslv_en_5.2.2_3.0_1704051181475.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mtxslv_en_5.2.2_3.0_1704051181475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mtxslv","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mtxslv","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mtxslv| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mtxslv/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mukesh1212_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mukesh1212_en.md new file mode 100644 index 0000000000000..1e3241be481d7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_mukesh1212_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mukesh1212 DistilBertForSequenceClassification from mukesh1212 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mukesh1212 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mukesh1212` is a English model originally trained by mukesh1212. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mukesh1212_en_5.2.2_3.0_1704061537991.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mukesh1212_en_5.2.2_3.0_1704061537991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mukesh1212","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mukesh1212","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mukesh1212| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mukesh1212/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_natrajanv_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_natrajanv_en.md new file mode 100644 index 0000000000000..a2fbc6a801ec7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_natrajanv_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_natrajanv DistilBertForSequenceClassification from natrajanv +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_natrajanv +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_natrajanv` is a English model originally trained by natrajanv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_natrajanv_en_5.2.2_3.0_1704063876576.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_natrajanv_en_5.2.2_3.0_1704063876576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_natrajanv","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_natrajanv","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_natrajanv| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/natrajanv/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_neolord_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_neolord_en.md new file mode 100644 index 0000000000000..652402b2e0da7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_neolord_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_neolord DistilBertForSequenceClassification from neolord +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_neolord +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_neolord` is a English model originally trained by neolord. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_neolord_en_5.2.2_3.0_1704050002565.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_neolord_en_5.2.2_3.0_1704050002565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_neolord","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_neolord","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_neolord| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/neolord/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_nepal_bhasa_en.md new file mode 100644 index 0000000000000..14306e99cc694 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_nepal_bhasa_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_nepal_bhasa DistilBertForSequenceClassification from pavithrav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_nepal_bhasa +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nepal_bhasa` is a English model originally trained by pavithrav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nepal_bhasa_en_5.2.2_3.0_1704052902907.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nepal_bhasa_en_5.2.2_3.0_1704052902907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nepal_bhasa","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_nepal_bhasa","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_nepal_bhasa| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-emotion_new \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_onaughton_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_onaughton_en.md new file mode 100644 index 0000000000000..630626e02b968 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_onaughton_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_onaughton DistilBertForSequenceClassification from onaughton +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_onaughton +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_onaughton` is a English model originally trained by onaughton. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_onaughton_en_5.2.2_3.0_1704046815558.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_onaughton_en_5.2.2_3.0_1704046815558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_onaughton","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_onaughton","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_onaughton| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/onaughton/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_penguinman73_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_penguinman73_en.md new file mode 100644 index 0000000000000..4c9f6d1354228 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_penguinman73_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_penguinman73 DistilBertForSequenceClassification from penguinman73 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_penguinman73 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_penguinman73` is a English model originally trained by penguinman73. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_penguinman73_en_5.2.2_3.0_1704051206203.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_penguinman73_en_5.2.2_3.0_1704051206203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_penguinman73","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_penguinman73","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_penguinman73| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/penguinman73/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_pensuke_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_pensuke_en.md new file mode 100644 index 0000000000000..1a719224b6a66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_pensuke_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_pensuke DistilBertForSequenceClassification from pensuke +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_pensuke +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pensuke` is a English model originally trained by pensuke. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pensuke_en_5.2.2_3.0_1704047027032.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pensuke_en_5.2.2_3.0_1704047027032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pensuke","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_pensuke","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_pensuke| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pensuke/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_r0llingclouds_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_r0llingclouds_en.md new file mode 100644 index 0000000000000..764e1d293801b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_r0llingclouds_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_r0llingclouds DistilBertForSequenceClassification from r0llingclouds +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_r0llingclouds +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_r0llingclouds` is a English model originally trained by r0llingclouds. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r0llingclouds_en_5.2.2_3.0_1703982367850.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r0llingclouds_en_5.2.2_3.0_1703982367850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_r0llingclouds","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_r0llingclouds","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_r0llingclouds| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/r0llingclouds/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_rachellllllll_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_rachellllllll_en.md new file mode 100644 index 0000000000000..0a76e56393a16 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_rachellllllll_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_rachellllllll DistilBertForSequenceClassification from rachellllllll +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_rachellllllll +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rachellllllll` is a English model originally trained by rachellllllll. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rachellllllll_en_5.2.2_3.0_1704051689626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rachellllllll_en_5.2.2_3.0_1704051689626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rachellllllll","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_rachellllllll","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_rachellllllll| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rachellllllll/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinschaefer_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinschaefer_en.md new file mode 100644 index 0000000000000..9caf198e0c10b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinschaefer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_robinschaefer DistilBertForSequenceClassification from RobinSchaefer +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_robinschaefer +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_robinschaefer` is a English model originally trained by RobinSchaefer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robinschaefer_en_5.2.2_3.0_1703987969690.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robinschaefer_en_5.2.2_3.0_1703987969690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robinschaefer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robinschaefer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_robinschaefer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RobinSchaefer/distilbert-base-uncased-finetuned_emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinstudy_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinstudy_en.md new file mode 100644 index 0000000000000..76de9e3743c32 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_robinstudy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_robinstudy DistilBertForSequenceClassification from robinStudy +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_robinstudy +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_robinstudy` is a English model originally trained by robinStudy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robinstudy_en_5.2.2_3.0_1704048090751.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_robinstudy_en_5.2.2_3.0_1704048090751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robinstudy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_robinstudy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_robinstudy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/robinStudy/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_roussafiomar_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_roussafiomar_en.md new file mode 100644 index 0000000000000..069f9aa4bc74f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_roussafiomar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_roussafiomar DistilBertForSequenceClassification from RoussafiOmar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_roussafiomar +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_roussafiomar` is a English model originally trained by RoussafiOmar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roussafiomar_en_5.2.2_3.0_1704006283254.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roussafiomar_en_5.2.2_3.0_1704006283254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_roussafiomar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_roussafiomar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_roussafiomar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RoussafiOmar/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryangryang_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryangryang_en.md new file mode 100644 index 0000000000000..2a4fb978666be --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryangryang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ryangryang DistilBertForSequenceClassification from RyangRyang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ryangryang +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ryangryang` is a English model originally trained by RyangRyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryangryang_en_5.2.2_3.0_1704064704625.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryangryang_en_5.2.2_3.0_1704064704625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryangryang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryangryang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ryangryang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RyangRyang/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryatora_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryatora_en.md new file mode 100644 index 0000000000000..67a5e63ced453 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_ryatora_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_ryatora DistilBertForSequenceClassification from ryatora +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_ryatora +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ryatora` is a English model originally trained by ryatora. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryatora_en_5.2.2_3.0_1703982825571.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryatora_en_5.2.2_3.0_1703982825571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryatora","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_ryatora","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_ryatora| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ryatora/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sangsooim_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sangsooim_en.md new file mode 100644 index 0000000000000..e4f528827852c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sangsooim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sangsooim DistilBertForSequenceClassification from SangsooIm +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sangsooim +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sangsooim` is a English model originally trained by SangsooIm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sangsooim_en_5.2.2_3.0_1704064704599.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sangsooim_en_5.2.2_3.0_1704064704599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sangsooim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sangsooim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sangsooim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SangsooIm/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sanjaydasgupta_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sanjaydasgupta_en.md new file mode 100644 index 0000000000000..3229c46eea21f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sanjaydasgupta_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sanjaydasgupta DistilBertForSequenceClassification from sanjaydasgupta +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sanjaydasgupta +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sanjaydasgupta` is a English model originally trained by sanjaydasgupta. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sanjaydasgupta_en_5.2.2_3.0_1704044942578.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sanjaydasgupta_en_5.2.2_3.0_1704044942578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sanjaydasgupta","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sanjaydasgupta","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sanjaydasgupta| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sanjaydasgupta/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_santoro_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_santoro_en.md new file mode 100644 index 0000000000000..1587b1595495e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_santoro_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_santoro DistilBertForSequenceClassification from santoro +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_santoro +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_santoro` is a English model originally trained by santoro. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_santoro_en_5.2.2_3.0_1704045431285.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_santoro_en_5.2.2_3.0_1704045431285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_santoro","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_santoro","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_santoro| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/santoro/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_saravananstat_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_saravananstat_en.md new file mode 100644 index 0000000000000..96c617bdc4515 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_saravananstat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_saravananstat DistilBertForSequenceClassification from saravananstat +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_saravananstat +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_saravananstat` is a English model originally trained by saravananstat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_saravananstat_en_5.2.2_3.0_1704049004289.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_saravananstat_en_5.2.2_3.0_1704049004289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_saravananstat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_saravananstat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_saravananstat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/saravananstat/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sehee_lim_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sehee_lim_en.md new file mode 100644 index 0000000000000..02d68c815d5ce --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sehee_lim_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sehee_lim DistilBertForSequenceClassification from sehee-lim +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sehee_lim +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sehee_lim` is a English model originally trained by sehee-lim. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sehee_lim_en_5.2.2_3.0_1703990333056.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sehee_lim_en_5.2.2_3.0_1703990333056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sehee_lim","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sehee_lim","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sehee_lim| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sehee-lim/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skalyan91_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skalyan91_en.md new file mode 100644 index 0000000000000..a3bf3457f909f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skalyan91_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_skalyan91 DistilBertForSequenceClassification from skalyan91 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_skalyan91 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skalyan91` is a English model originally trained by skalyan91. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skalyan91_en_5.2.2_3.0_1703990388111.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skalyan91_en_5.2.2_3.0_1703990388111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skalyan91","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skalyan91","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_skalyan91| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/skalyan91/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skavud12_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skavud12_en.md new file mode 100644 index 0000000000000..0e34d0b1c6f43 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_skavud12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_skavud12 DistilBertForSequenceClassification from skavud12 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_skavud12 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skavud12` is a English model originally trained by skavud12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skavud12_en_5.2.2_3.0_1704056413723.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skavud12_en_5.2.2_3.0_1704056413723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skavud12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skavud12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_skavud12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/skavud12/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_spinettico_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_spinettico_en.md new file mode 100644 index 0000000000000..b4611f554b08a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_spinettico_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_spinettico DistilBertForSequenceClassification from spinettico +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_spinettico +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_spinettico` is a English model originally trained by spinettico. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_spinettico_en_5.2.2_3.0_1703984612348.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_spinettico_en_5.2.2_3.0_1703984612348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_spinettico","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_spinettico","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_spinettico| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/spinettico/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sravan2408_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sravan2408_en.md new file mode 100644 index 0000000000000..8f33a62b01c28 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sravan2408_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sravan2408 DistilBertForSequenceClassification from Sravan2408 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sravan2408 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sravan2408` is a English model originally trained by Sravan2408. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sravan2408_en_5.2.2_3.0_1704009053241.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sravan2408_en_5.2.2_3.0_1704009053241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sravan2408","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sravan2408","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sravan2408| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sravan2408/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunggwan_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunggwan_en.md new file mode 100644 index 0000000000000..72ce1dc7669d0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunggwan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sunggwan DistilBertForSequenceClassification from sunggwan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sunggwan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sunggwan` is a English model originally trained by sunggwan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunggwan_en_5.2.2_3.0_1704052658967.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunggwan_en_5.2.2_3.0_1704052658967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sunggwan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sunggwan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sunggwan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sunggwan/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunmin_dev_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunmin_dev_en.md new file mode 100644 index 0000000000000..a7ab6c429eb76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_sunmin_dev_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_sunmin_dev DistilBertForSequenceClassification from Sunmin-dev +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_sunmin_dev +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sunmin_dev` is a English model originally trained by Sunmin-dev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunmin_dev_en_5.2.2_3.0_1704056576309.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunmin_dev_en_5.2.2_3.0_1704056576309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sunmin_dev","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_sunmin_dev","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_sunmin_dev| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sunmin-dev/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_theahmadfaiq_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_theahmadfaiq_en.md new file mode 100644 index 0000000000000..a97c89973630b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_theahmadfaiq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_theahmadfaiq DistilBertForSequenceClassification from theahmadfaiq +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_theahmadfaiq +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_theahmadfaiq` is a English model originally trained by theahmadfaiq. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_theahmadfaiq_en_5.2.2_3.0_1704006159907.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_theahmadfaiq_en_5.2.2_3.0_1704006159907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_theahmadfaiq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_theahmadfaiq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_theahmadfaiq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/theahmadfaiq/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_tobrun_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_tobrun_en.md new file mode 100644 index 0000000000000..ccb23bf16caf9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_tobrun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tobrun DistilBertForSequenceClassification from tobrun +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tobrun +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tobrun` is a English model originally trained by tobrun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tobrun_en_5.2.2_3.0_1704056696162.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tobrun_en_5.2.2_3.0_1704056696162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tobrun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tobrun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tobrun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tobrun/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_twidfeel_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_twidfeel_en.md new file mode 100644 index 0000000000000..e3c6ea02ddf20 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_twidfeel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_twidfeel DistilBertForSequenceClassification from twidfeel +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_twidfeel +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_twidfeel` is a English model originally trained by twidfeel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_twidfeel_en_5.2.2_3.0_1704055797697.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_twidfeel_en_5.2.2_3.0_1704055797697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_twidfeel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_twidfeel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_twidfeel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/twidfeel/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_vikramr22_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_vikramr22_en.md new file mode 100644 index 0000000000000..3ba0f17990a46 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_vikramr22_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_vikramr22 DistilBertForSequenceClassification from vikramr22 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_vikramr22 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vikramr22` is a English model originally trained by vikramr22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vikramr22_en_5.2.2_3.0_1704066167239.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vikramr22_en_5.2.2_3.0_1704066167239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vikramr22","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_vikramr22","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_vikramr22| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vikramr22/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wallclock_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wallclock_en.md new file mode 100644 index 0000000000000..a870e9318a664 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wallclock_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wallclock DistilBertForSequenceClassification from wallclock +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wallclock +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wallclock` is a English model originally trained by wallclock. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wallclock_en_5.2.2_3.0_1704007747890.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wallclock_en_5.2.2_3.0_1704007747890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wallclock","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wallclock","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wallclock| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wallclock/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wonwonn_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wonwonn_en.md new file mode 100644 index 0000000000000..119523d761366 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_wonwonn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_wonwonn DistilBertForSequenceClassification from wonwonn +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_wonwonn +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wonwonn` is a English model originally trained by wonwonn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wonwonn_en_5.2.2_3.0_1703990335194.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wonwonn_en_5.2.2_3.0_1703990335194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wonwonn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_wonwonn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_wonwonn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wonwonn/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_xarminson_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_xarminson_en.md new file mode 100644 index 0000000000000..b27ae3af4c986 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_xarminson_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_xarminson DistilBertForSequenceClassification from Xarminson +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_xarminson +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_xarminson` is a English model originally trained by Xarminson. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xarminson_en_5.2.2_3.0_1704049427761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xarminson_en_5.2.2_3.0_1704049427761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_xarminson","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_xarminson","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_xarminson| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Xarminson/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_yupyub_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_yupyub_en.md new file mode 100644 index 0000000000000..ab2edc19bc253 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_yupyub_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yupyub DistilBertForSequenceClassification from yupyub +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yupyub +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yupyub` is a English model originally trained by yupyub. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yupyub_en_5.2.2_3.0_1703987969612.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yupyub_en_5.2.2_3.0_1703987969612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yupyub","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yupyub","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yupyub| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yupyub/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_zhukeke_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_zhukeke_en.md new file mode 100644 index 0000000000000..19a616d6b8a56 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_emotion_zhukeke_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_zhukeke DistilBertForSequenceClassification from zhukeke +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_zhukeke +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zhukeke` is a English model originally trained by zhukeke. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhukeke_en_5.2.2_3.0_1704063812186.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zhukeke_en_5.2.2_3.0_1704063812186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhukeke","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_zhukeke","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_zhukeke| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zhukeke/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mixed_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mixed_en.md new file mode 100644 index 0000000000000..0d679efd2b6c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mixed_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mixed DistilBertForSequenceClassification from ThuyNT03 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mixed +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mixed` is a English model originally trained by ThuyNT03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mixed_en_5.2.2_3.0_1703994984927.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mixed_en_5.2.2_3.0_1703994984927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mixed","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mixed","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mixed| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ThuyNT03/distilbert-base-uncased-finetuned-Mixed \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_abcp4_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_abcp4_en.md new file mode 100644 index 0000000000000..cf58a8df4eded --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_abcp4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mrpc_abcp4 DistilBertForSequenceClassification from abcp4 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mrpc_abcp4 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_abcp4` is a English model originally trained by abcp4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_abcp4_en_5.2.2_3.0_1704049691227.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_abcp4_en_5.2.2_3.0_1704049691227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_abcp4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_abcp4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mrpc_abcp4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abcp4/distilbert-base-uncased-finetuned-mrpc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_isabellazhou_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_isabellazhou_en.md new file mode 100644 index 0000000000000..e98b727f3da23 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_isabellazhou_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mrpc_isabellazhou DistilBertForSequenceClassification from isabellazhou +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mrpc_isabellazhou +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_isabellazhou` is a English model originally trained by isabellazhou. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_isabellazhou_en_5.2.2_3.0_1704000247111.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_isabellazhou_en_5.2.2_3.0_1704000247111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_isabellazhou","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_isabellazhou","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mrpc_isabellazhou| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/isabellazhou/distilbert-base-uncased-finetuned-mrpc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md new file mode 100644 index 0000000000000..b19be02393453 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi DistilBertForSequenceClassification from VitaliiVrublevskyi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi` is a English model originally trained by VitaliiVrublevskyi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en_5.2.2_3.0_1704045454969.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en_5.2.2_3.0_1704045454969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mrpc_vitaliivrublevskyi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/VitaliiVrublevskyi/distilbert-base-uncased-finetuned-mrpc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_own_data_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_own_data_en.md new file mode 100644 index 0000000000000..421ed5d000916 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_own_data_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_own_data DistilBertForSequenceClassification from pavithrav +author: John Snow Labs +name: distilbert_base_uncased_finetuned_own_data +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_own_data` is a English model originally trained by pavithrav. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_own_data_en_5.2.2_3.0_1704054555791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_own_data_en_5.2.2_3.0_1704054555791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_own_data","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_own_data","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_own_data| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-own-data \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_plantdesc_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_plantdesc_en.md new file mode 100644 index 0000000000000..b88433eefa72c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_plantdesc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_plantdesc DistilBertForSequenceClassification from mariamoracrossitcr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_plantdesc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_plantdesc` is a English model originally trained by mariamoracrossitcr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_plantdesc_en_5.2.2_3.0_1704061537973.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_plantdesc_en_5.2.2_3.0_1704061537973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_plantdesc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_plantdesc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_plantdesc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mariamoracrossitcr/distilbert-base-uncased-finetuned-plantDesc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_qqp_anuj55_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_qqp_anuj55_en.md new file mode 100644 index 0000000000000..255fa1d9b5587 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_qqp_anuj55_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_qqp_anuj55 DistilBertForSequenceClassification from anuj55 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_qqp_anuj55 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qqp_anuj55` is a English model originally trained by anuj55. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qqp_anuj55_en_5.2.2_3.0_1704044600574.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qqp_anuj55_en_5.2.2_3.0_1704044600574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_qqp_anuj55","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_qqp_anuj55","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_qqp_anuj55| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/anuj55/distilbert-base-uncased-finetuned-qqp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_something_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_something_en.md new file mode 100644 index 0000000000000..40d257055f360 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_something_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_something DistilBertForSequenceClassification from frtna +author: John Snow Labs +name: distilbert_base_uncased_finetuned_something +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_something` is a English model originally trained by frtna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_something_en_5.2.2_3.0_1704051589481.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_something_en_5.2.2_3.0_1704051589481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_something","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_something","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_something| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/frtna/distilbert-base-uncased-finetuned-SOMETHING \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_sst_2_english_ft_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_sst_2_english_ft_en.md new file mode 100644 index 0000000000000..5d0147e667177 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_sst_2_english_ft_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_sst_2_english_ft DistilBertForSequenceClassification from Aspik101 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_sst_2_english_ft +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_ft` is a English model originally trained by Aspik101. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_ft_en_5.2.2_3.0_1704055654375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_ft_en_5.2.2_3.0_1704055654375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_ft","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_sst_2_english_ft","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_ft| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Aspik101/distilbert-base-uncased-finetuned-sst-2-english_FT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_hoangthan_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_hoangthan_en.md new file mode 100644 index 0000000000000..979d731d14e03 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_hoangthan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_stsb_hoangthan DistilBertForSequenceClassification from hoangthan +author: John Snow Labs +name: distilbert_base_uncased_finetuned_stsb_hoangthan +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stsb_hoangthan` is a English model originally trained by hoangthan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_hoangthan_en_5.2.2_3.0_1703996238264.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_hoangthan_en_5.2.2_3.0_1703996238264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_hoangthan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_hoangthan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_stsb_hoangthan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hoangthan/distilbert-base-uncased-finetuned-stsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_sanmer_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_sanmer_en.md new file mode 100644 index 0000000000000..ef7bcde7c8cbe --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_stsb_sanmer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_stsb_sanmer DistilBertForSequenceClassification from sanmer +author: John Snow Labs +name: distilbert_base_uncased_finetuned_stsb_sanmer +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stsb_sanmer` is a English model originally trained by sanmer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_sanmer_en_5.2.2_3.0_1703995952028.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_sanmer_en_5.2.2_3.0_1703995952028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_sanmer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_stsb_sanmer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_stsb_sanmer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/sanmer/distilbert-base-uncased-finetuned-stsb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_tickets_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_tickets_en.md new file mode 100644 index 0000000000000..db329558779a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_tickets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_tickets DistilBertForSequenceClassification from MFrazz +author: John Snow Labs +name: distilbert_base_uncased_finetuned_tickets +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tickets` is a English model originally trained by MFrazz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tickets_en_5.2.2_3.0_1704051830279.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tickets_en_5.2.2_3.0_1704051830279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tickets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_tickets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_tickets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MFrazz/distilbert-base-uncased-finetuned-tickets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_with_emotions_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_with_emotions_en.md new file mode 100644 index 0000000000000..55f42207056a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_finetuned_with_emotions_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_with_emotions DistilBertForSequenceClassification from almersawi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_with_emotions +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_with_emotions` is a English model originally trained by almersawi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_emotions_en_5.2.2_3.0_1703997425327.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_emotions_en_5.2.2_3.0_1703997425327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_with_emotions","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_with_emotions","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_with_emotions| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/almersawi/distilbert-base-uncased-finetuned-with-emotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fintuned_emotion_ikeus_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fintuned_emotion_ikeus_en.md new file mode 100644 index 0000000000000..d8eadea6e7e24 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_fintuned_emotion_ikeus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_fintuned_emotion_ikeus DistilBertForSequenceClassification from ikeus +author: John Snow Labs +name: distilbert_base_uncased_fintuned_emotion_ikeus +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fintuned_emotion_ikeus` is a English model originally trained by ikeus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_emotion_ikeus_en_5.2.2_3.0_1704050430013.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_emotion_ikeus_en_5.2.2_3.0_1704050430013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fintuned_emotion_ikeus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_fintuned_emotion_ikeus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_fintuned_emotion_ikeus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ikeus/distilbert-base-uncased-fintuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_flinetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_flinetuned_emotion_en.md new file mode 100644 index 0000000000000..4c01aa7c69bf0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_flinetuned_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_flinetuned_emotion DistilBertForSequenceClassification from Shiou0601 +author: John Snow Labs +name: distilbert_base_uncased_flinetuned_emotion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_flinetuned_emotion` is a English model originally trained by Shiou0601. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_flinetuned_emotion_en_5.2.2_3.0_1704050915140.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_flinetuned_emotion_en_5.2.2_3.0_1704050915140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_flinetuned_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_flinetuned_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_flinetuned_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shiou0601/distilbert-base-uncased-flinetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_gaokao_english_v1_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_gaokao_english_v1_en.md new file mode 100644 index 0000000000000..98c7cdd11b9e9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_gaokao_english_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_gaokao_english_v1 DistilBertForSequenceClassification from tienlansun +author: John Snow Labs +name: distilbert_base_uncased_gaokao_english_v1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_gaokao_english_v1` is a English model originally trained by tienlansun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_gaokao_english_v1_en_5.2.2_3.0_1704048402035.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_gaokao_english_v1_en_5.2.2_3.0_1704048402035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_gaokao_english_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_gaokao_english_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_gaokao_english_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tienlansun/distilbert-base-uncased-gaokao-english-v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hf_book_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hf_book_en.md new file mode 100644 index 0000000000000..3475e18356b16 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hf_book_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hf_book DistilBertForSequenceClassification from Nuri-Tas +author: John Snow Labs +name: distilbert_base_uncased_hf_book +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hf_book` is a English model originally trained by Nuri-Tas. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hf_book_en_5.2.2_3.0_1704003396767.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hf_book_en_5.2.2_3.0_1704003396767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hf_book","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hf_book","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hf_book| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nuri-Tas/distilbert-base-uncased-hf-book \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_sanity_check_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_sanity_check_en.md new file mode 100644 index 0000000000000..748ee90da3074 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_sanity_check_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hoax_classifier_sanity_check DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_uncased_hoax_classifier_sanity_check +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hoax_classifier_sanity_check` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_sanity_check_en_5.2.2_3.0_1704051061146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_sanity_check_en_5.2.2_3.0_1704051061146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_sanity_check","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_sanity_check","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hoax_classifier_sanity_check| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/research-dump/distilbert-base-uncased_hoax_classifier_sanity_check \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_v1_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_v1_en.md new file mode 100644 index 0000000000000..5527cffd225d2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_hoax_classifier_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_hoax_classifier_v1 DistilBertForSequenceClassification from research-dump +author: John Snow Labs +name: distilbert_base_uncased_hoax_classifier_v1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hoax_classifier_v1` is a English model originally trained by research-dump. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_v1_en_5.2.2_3.0_1704047323684.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hoax_classifier_v1_en_5.2.2_3.0_1704047323684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_hoax_classifier_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_hoax_classifier_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/research-dump/distilbert-base-uncased_hoax_classifier_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_mixed_swap_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_mixed_swap_en.md new file mode 100644 index 0000000000000..276477a4e1aa5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_mixed_swap_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_mixed_swap DistilBertForSequenceClassification from ThuyNT03 +author: John Snow Labs +name: distilbert_base_uncased_mixed_swap +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mixed_swap` is a English model originally trained by ThuyNT03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mixed_swap_en_5.2.2_3.0_1704010531674.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mixed_swap_en_5.2.2_3.0_1704010531674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_mixed_swap","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_mixed_swap","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_mixed_swap| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ThuyNT03/distilbert-base-uncased-Mixed-swap \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_multil_cls_legal_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_multil_cls_legal_en.md new file mode 100644 index 0000000000000..3195eede9ba14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_multil_cls_legal_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_multil_cls_legal DistilBertForSequenceClassification from ThuyNT03 +author: John Snow Labs +name: distilbert_base_uncased_multil_cls_legal +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_multil_cls_legal` is a English model originally trained by ThuyNT03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_multil_cls_legal_en_5.2.2_3.0_1704045272398.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_multil_cls_legal_en_5.2.2_3.0_1704045272398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_multil_cls_legal","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_multil_cls_legal","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_multil_cls_legal| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ThuyNT03/distilbert-base-uncased-multil-cls-legal \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_nlp_class_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_nlp_class_en.md new file mode 100644 index 0000000000000..5459db521eb93 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_nlp_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_nlp_class DistilBertForSequenceClassification from caroagse +author: John Snow Labs +name: distilbert_base_uncased_nlp_class +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_nlp_class` is a English model originally trained by caroagse. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_nlp_class_en_5.2.2_3.0_1704009772984.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_nlp_class_en_5.2.2_3.0_1704009772984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_nlp_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_nlp_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_nlp_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/caroagse/distilbert-base-uncased-nlp-class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_augmentation_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_augmentation_en.md new file mode 100644 index 0000000000000..b4e245c0dd3c9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_augmentation_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_omdena_cllbck_augmentation DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: distilbert_base_uncased_omdena_cllbck_augmentation +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_omdena_cllbck_augmentation` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_omdena_cllbck_augmentation_en_5.2.2_3.0_1704001904075.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_omdena_cllbck_augmentation_en_5.2.2_3.0_1704001904075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_omdena_cllbck_augmentation","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_omdena_cllbck_augmentation","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_omdena_cllbck_augmentation| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/distilbert-base-uncased-OMDENA-cllbck-augmentation \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_en.md new file mode 100644 index 0000000000000..04e65aa0f3279 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_omdena_cllbck_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_omdena_cllbck DistilBertForSequenceClassification from GhifSmile +author: John Snow Labs +name: distilbert_base_uncased_omdena_cllbck +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_omdena_cllbck` is a English model originally trained by GhifSmile. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_omdena_cllbck_en_5.2.2_3.0_1704053757226.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_omdena_cllbck_en_5.2.2_3.0_1704053757226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_omdena_cllbck","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_omdena_cllbck","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_omdena_cllbck| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/GhifSmile/distilbert-base-uncased-OMDENA-cllbck \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257_en.md new file mode 100644 index 0000000000000..1006bb1df7908 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257 DistilBertForSequenceClassification from cmpltrtok +author: John Snow Labs +name: distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257` is a English model originally trained by cmpltrtok. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257_en_5.2.2_3.0_1704049688741.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257_en_5.2.2_3.0_1704049688741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_on_imdb2023_09_16_20_59_20_726257| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cmpltrtok/distilbert-base-uncased.on.imdb2023_09_16_20_59_20_726257 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetune_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetune_sentiment_en.md new file mode 100644 index 0000000000000..496617c71c60c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetune_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetune_sentiment DistilBertForSequenceClassification from lancewilhelm +author: John Snow Labs +name: distilbert_finetune_sentiment +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetune_sentiment` is a English model originally trained by lancewilhelm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetune_sentiment_en_5.2.2_3.0_1703991917447.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetune_sentiment_en_5.2.2_3.0_1703991917447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetune_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetune_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetune_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/lancewilhelm/distilbert-finetune-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_imdb_en.md new file mode 100644 index 0000000000000..0fe2d5825183c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_imdb_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_imdb DistilBertForSequenceClassification from apenev +author: John Snow Labs +name: distilbert_finetuned_imdb +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb` is a English model originally trained by apenev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_en_5.2.2_3.0_1704051811501.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_en_5.2.2_3.0_1704051811501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_imdb","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_imdb","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_imdb| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/apenev/distilbert-finetuned-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_jeswinms4_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_jeswinms4_en.md new file mode 100644 index 0000000000000..a896e0f31864e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_finetuned_jeswinms4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_finetuned_jeswinms4 DistilBertForSequenceClassification from JeswinMS4 +author: John Snow Labs +name: distilbert_finetuned_jeswinms4 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_jeswinms4` is a English model originally trained by JeswinMS4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_jeswinms4_en_5.2.2_3.0_1704045272374.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_jeswinms4_en_5.2.2_3.0_1704045272374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_jeswinms4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_finetuned_jeswinms4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_finetuned_jeswinms4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JeswinMS4/distilbert-finetuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_for_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_for_emotion_en.md new file mode 100644 index 0000000000000..2acb9b243407b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_for_emotion_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_for_emotion DistilBertForSequenceClassification from Tirendaz +author: John Snow Labs +name: distilbert_for_emotion +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_for_emotion` is a English model originally trained by Tirendaz. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_for_emotion_en_5.2.2_3.0_1704050741721.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_for_emotion_en_5.2.2_3.0_1704050741721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_for_emotion","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_for_emotion","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_for_emotion| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tirendaz/distilbert-for-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_gptdata_with_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_gptdata_with_preprocessing_grid_search_en.md new file mode 100644 index 0000000000000..64764b8aee1b6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_gptdata_with_preprocessing_grid_search_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_gptdata_with_preprocessing_grid_search DistilBertForSequenceClassification from LovenOO +author: John Snow Labs +name: distilbert_gptdata_with_preprocessing_grid_search +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_gptdata_with_preprocessing_grid_search` is a English model originally trained by LovenOO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_gptdata_with_preprocessing_grid_search_en_5.2.2_3.0_1704056578314.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_gptdata_with_preprocessing_grid_search_en_5.2.2_3.0_1704056578314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_gptdata_with_preprocessing_grid_search","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_gptdata_with_preprocessing_grid_search","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_gptdata_with_preprocessing_grid_search| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LovenOO/distilBERT_gptdata_with_preprocessing_grid_search \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_heaps_class_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_heaps_class_en.md new file mode 100644 index 0000000000000..ac84ec2cccaea --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_heaps_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_heaps_class DistilBertForSequenceClassification from johannes-garstenauer +author: John Snow Labs +name: distilbert_heaps_class +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_heaps_class` is a English model originally trained by johannes-garstenauer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class_en_5.2.2_3.0_1704050482754.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_heaps_class_en_5.2.2_3.0_1704050482754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_heaps_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_heaps_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.1 MB| + +## References + +https://huggingface.co/johannes-garstenauer/distilbert-heaps-class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_hoax_detection_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_hoax_detection_en.md new file mode 100644 index 0000000000000..1da265f16b00c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_hoax_detection_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_hoax_detection DistilBertForSequenceClassification from dafqi +author: John Snow Labs +name: distilbert_hoax_detection +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hoax_detection` is a English model originally trained by dafqi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hoax_detection_en_5.2.2_3.0_1704050907055.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hoax_detection_en_5.2.2_3.0_1704050907055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hoax_detection","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_hoax_detection","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_hoax_detection| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|255.2 MB| + +## References + +https://huggingface.co/dafqi/DistilBERT-Hoax-Detection \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_small_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_small_en.md new file mode 100644 index 0000000000000..5bab7d8badd0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_small_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_small DistilBertForSequenceClassification from adamc-7 +author: John Snow Labs +name: distilbert_imdb_small +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_small` is a English model originally trained by adamc-7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_small_en_5.2.2_3.0_1704007510371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_small_en_5.2.2_3.0_1704007510371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_small","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_small","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_small| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/adamc-7/distilbert-imdb-small \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_tomeesk_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_tomeesk_en.md new file mode 100644 index 0000000000000..ce75a62fad411 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_imdb_tomeesk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_imdb_tomeesk DistilBertForSequenceClassification from TomeeSK +author: John Snow Labs +name: distilbert_imdb_tomeesk +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_tomeesk` is a English model originally trained by TomeeSK. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tomeesk_en_5.2.2_3.0_1704045431234.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_tomeesk_en_5.2.2_3.0_1704045431234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tomeesk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_imdb_tomeesk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_imdb_tomeesk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/TomeeSK/distilbert-imdb \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_370k_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_370k_en.md new file mode 100644 index 0000000000000..3e356dc36f938 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_370k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_jobcategory_370k DistilBertForSequenceClassification from serbog +author: John Snow Labs +name: distilbert_jobcategory_370k +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_jobcategory_370k` is a English model originally trained by serbog. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_370k_en_5.2.2_3.0_1703992154493.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_370k_en_5.2.2_3.0_1703992154493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_370k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_370k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_jobcategory_370k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/serbog/distilbert-jobCategory_370k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_373k_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_373k_en.md new file mode 100644 index 0000000000000..6f62706fc4ae9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_jobcategory_373k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_jobcategory_373k DistilBertForSequenceClassification from serbog +author: John Snow Labs +name: distilbert_jobcategory_373k +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_jobcategory_373k` is a English model originally trained by serbog. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_373k_en_5.2.2_3.0_1703992026990.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_373k_en_5.2.2_3.0_1703992026990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_373k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_jobcategory_373k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_jobcategory_373k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/serbog/distilbert-jobCategory_373k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_movie_review_sentiment_classifier_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_movie_review_sentiment_classifier_2_en.md new file mode 100644 index 0000000000000..8204dd357d42c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_movie_review_sentiment_classifier_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_movie_review_sentiment_classifier_2 DistilBertForSequenceClassification from gyesibiney +author: John Snow Labs +name: distilbert_movie_review_sentiment_classifier_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_movie_review_sentiment_classifier_2` is a English model originally trained by gyesibiney. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_movie_review_sentiment_classifier_2_en_5.2.2_3.0_1703984758642.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_movie_review_sentiment_classifier_2_en_5.2.2_3.0_1703984758642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_movie_review_sentiment_classifier_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_movie_review_sentiment_classifier_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_movie_review_sentiment_classifier_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gyesibiney/Distilbert-movie-review-sentiment-classifier-2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_powo_lifecycle_scratch_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_powo_lifecycle_scratch_en.md new file mode 100644 index 0000000000000..84cb9e10cf19a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_powo_lifecycle_scratch_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_powo_lifecycle_scratch DistilBertForSequenceClassification from ViktorDo +author: John Snow Labs +name: distilbert_powo_lifecycle_scratch +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_powo_lifecycle_scratch` is a English model originally trained by ViktorDo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_powo_lifecycle_scratch_en_5.2.2_3.0_1704065556058.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_powo_lifecycle_scratch_en_5.2.2_3.0_1704065556058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_lifecycle_scratch","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_powo_lifecycle_scratch","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_powo_lifecycle_scratch| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/ViktorDo/DistilBERT-POWO_Lifecycle_Scratch \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_sentimentmodel_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_sentimentmodel_en.md new file mode 100644 index 0000000000000..041d0e085335d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_sentimentmodel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sentimentmodel DistilBertForSequenceClassification from hmullican +author: John Snow Labs +name: distilbert_sentimentmodel +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentimentmodel` is a English model originally trained by hmullican. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentimentmodel_en_5.2.2_3.0_1703995415847.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentimentmodel_en_5.2.2_3.0_1703995415847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sentimentmodel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sentimentmodel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sentimentmodel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hmullican/distilBERT_SentimentModel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_squad_answerable_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_squad_answerable_classifier_en.md new file mode 100644 index 0000000000000..ae50f4afc2986 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_squad_answerable_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_squad_answerable_classifier DistilBertForSequenceClassification from Farnazgh +author: John Snow Labs +name: distilbert_squad_answerable_classifier +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_squad_answerable_classifier` is a English model originally trained by Farnazgh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_squad_answerable_classifier_en_5.2.2_3.0_1704066166702.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_squad_answerable_classifier_en_5.2.2_3.0_1704066166702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_squad_answerable_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_squad_answerable_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_squad_answerable_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Farnazgh/distilbert_squad_answerable_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_squadv2_answerable_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_squadv2_answerable_classifier_en.md new file mode 100644 index 0000000000000..760869832e89c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_squadv2_answerable_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_squadv2_answerable_classifier DistilBertForSequenceClassification from Farnazgh +author: John Snow Labs +name: distilbert_squadv2_answerable_classifier +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_squadv2_answerable_classifier` is a English model originally trained by Farnazgh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_squadv2_answerable_classifier_en_5.2.2_3.0_1704052324594.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_squadv2_answerable_classifier_en_5.2.2_3.0_1704052324594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_squadv2_answerable_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_squadv2_answerable_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_squadv2_answerable_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Farnazgh/distilbert_squadv2_answerable_classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_sst2_asd_sentimentanalysis_withaugmentation_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_sst2_asd_sentimentanalysis_withaugmentation_en.md new file mode 100644 index 0000000000000..9f54f6bb827e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_sst2_asd_sentimentanalysis_withaugmentation_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_sst2_asd_sentimentanalysis_withaugmentation DistilBertForSequenceClassification from ugurcanvurgun +author: John Snow Labs +name: distilbert_sst2_asd_sentimentanalysis_withaugmentation +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_asd_sentimentanalysis_withaugmentation` is a English model originally trained by ugurcanvurgun. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_asd_sentimentanalysis_withaugmentation_en_5.2.2_3.0_1704004790550.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_asd_sentimentanalysis_withaugmentation_en_5.2.2_3.0_1704004790550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_asd_sentimentanalysis_withaugmentation","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_sst2_asd_sentimentanalysis_withaugmentation","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_sst2_asd_sentimentanalysis_withaugmentation| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ugurcanvurgun/DistilBERT_SST2_ASD_SentimentAnalysis_withAugmentation \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_subgraphs_reraking_t5xl_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_subgraphs_reraking_t5xl_en.md new file mode 100644 index 0000000000000..07b60b8381080 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_subgraphs_reraking_t5xl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_subgraphs_reraking_t5xl DistilBertForSequenceClassification from hle2000 +author: John Snow Labs +name: distilbert_subgraphs_reraking_t5xl +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_subgraphs_reraking_t5xl` is a English model originally trained by hle2000. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_subgraphs_reraking_t5xl_en_5.2.2_3.0_1704051528997.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_subgraphs_reraking_t5xl_en_5.2.2_3.0_1704051528997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_subgraphs_reraking_t5xl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_subgraphs_reraking_t5xl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_subgraphs_reraking_t5xl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/hle2000/distilbert_subgraphs_reraking_t5xl \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_suicide_reviews_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_suicide_reviews_en.md new file mode 100644 index 0000000000000..5a822021d03d8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_suicide_reviews_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_suicide_reviews DistilBertForSequenceClassification from Prashant-karwasra +author: John Snow Labs +name: distilbert_suicide_reviews +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_suicide_reviews` is a English model originally trained by Prashant-karwasra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_suicide_reviews_en_5.2.2_3.0_1704047465014.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_suicide_reviews_en_5.2.2_3.0_1704047465014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_suicide_reviews","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_suicide_reviews","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_suicide_reviews| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Prashant-karwasra/DistilBert-suicide-reviews \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_train_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_train_en.md new file mode 100644 index 0000000000000..4cad4a799c3c3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_train_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_train DistilBertForSequenceClassification from kraftman1 +author: John Snow Labs +name: distilbert_train +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_train` is a English model originally trained by kraftman1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_train_en_5.2.2_3.0_1704003020851.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_train_en_5.2.2_3.0_1704003020851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_train","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_train","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_train| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kraftman1/distilBERT-train \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilbert_zonghaoyang_en.md b/docs/_posts/ahmedlone127/2023-12-31-distilbert_zonghaoyang_en.md new file mode 100644 index 0000000000000..fc3b6615ab76c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilbert_zonghaoyang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_zonghaoyang DistilBertForSequenceClassification from zonghaoyang +author: John Snow Labs +name: distilbert_zonghaoyang +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_zonghaoyang` is a English model originally trained by zonghaoyang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_zonghaoyang_en_5.2.2_3.0_1703988016462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_zonghaoyang_en_5.2.2_3.0_1703988016462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_zonghaoyang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_zonghaoyang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_zonghaoyang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zonghaoyang/DistilBERT \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distilgender_spanish_2m_ittailup_es.md b/docs/_posts/ahmedlone127/2023-12-31-distilgender_spanish_2m_ittailup_es.md new file mode 100644 index 0000000000000..1794c3a635692 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distilgender_spanish_2m_ittailup_es.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Castilian, Spanish distilgender_spanish_2m_ittailup DistilBertForSequenceClassification from ittailup +author: John Snow Labs +name: distilgender_spanish_2m_ittailup +date: 2023-12-31 +tags: [bert, es, open_source, sequence_classification, onnx] +task: Text Classification +language: es +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilgender_spanish_2m_ittailup` is a Castilian, Spanish model originally trained by ittailup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilgender_spanish_2m_ittailup_es_5.2.2_3.0_1704063096116.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilgender_spanish_2m_ittailup_es_5.2.2_3.0_1704063096116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilgender_spanish_2m_ittailup","es")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilgender_spanish_2m_ittailup","es") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilgender_spanish_2m_ittailup| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|es| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ittailup/distilgender-es-2M \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_1411_en.md b/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_1411_en.md new file mode 100644 index 0000000000000..ecbcdebbdef2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_1411_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_1411 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_1411 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_1411` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_1411_en_5.2.2_3.0_1703987471337.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_1411_en_5.2.2_3.0_1703987471337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_1411","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_1411","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_1411| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-1411 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_2811_en.md b/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_2811_en.md new file mode 100644 index 0000000000000..5d53d1877859e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-distill_golden_group_2811_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distill_golden_group_2811 DistilBertForSequenceClassification from gg-ai +author: John Snow Labs +name: distill_golden_group_2811 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_golden_group_2811` is a English model originally trained by gg-ai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_golden_group_2811_en_5.2.2_3.0_1703986849934.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_golden_group_2811_en_5.2.2_3.0_1703986849934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2811","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distill_golden_group_2811","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distill_golden_group_2811| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.4 MB| + +## References + +https://huggingface.co/gg-ai/distill-golden-group-2811 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ekman_emotion_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-31-ekman_emotion_classifier_en.md new file mode 100644 index 0000000000000..d4c02b3e9c75c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ekman_emotion_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ekman_emotion_classifier DistilBertForSequenceClassification from hakkam10 +author: John Snow Labs +name: ekman_emotion_classifier +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ekman_emotion_classifier` is a English model originally trained by hakkam10. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ekman_emotion_classifier_en_5.2.2_3.0_1704010695444.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ekman_emotion_classifier_en_5.2.2_3.0_1704010695444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ekman_emotion_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ekman_emotion_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ekman_emotion_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hakkam10/ekman-emotion-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-emocounterhate_en.md b/docs/_posts/ahmedlone127/2023-12-31-emocounterhate_en.md new file mode 100644 index 0000000000000..5b6f0295ba52b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-emocounterhate_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emocounterhate DistilBertForSequenceClassification from tiya1012 +author: John Snow Labs +name: emocounterhate +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emocounterhate` is a English model originally trained by tiya1012. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emocounterhate_en_5.2.2_3.0_1703999587883.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emocounterhate_en_5.2.2_3.0_1703999587883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emocounterhate","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emocounterhate","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emocounterhate| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tiya1012/emocounterhate \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-emotion_model_liong2_en.md b/docs/_posts/ahmedlone127/2023-12-31-emotion_model_liong2_en.md new file mode 100644 index 0000000000000..f41193c89bf84 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-emotion_model_liong2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_model_liong2 DistilBertForSequenceClassification from liong2 +author: John Snow Labs +name: emotion_model_liong2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_model_liong2` is a English model originally trained by liong2. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_model_liong2_en_5.2.2_3.0_1703998165917.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_model_liong2_en_5.2.2_3.0_1703998165917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_model_liong2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_model_liong2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_model_liong2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/liong2/emotion_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-englishranker_en.md b/docs/_posts/ahmedlone127/2023-12-31-englishranker_en.md new file mode 100644 index 0000000000000..8491af6d0c168 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-englishranker_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English englishranker DistilBertForSequenceClassification from Corianas +author: John Snow Labs +name: englishranker +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`englishranker` is a English model originally trained by Corianas. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/englishranker_en_5.2.2_3.0_1704047098087.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/englishranker_en_5.2.2_3.0_1704047098087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("englishranker","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("englishranker","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|englishranker| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Corianas/EnglishRanker \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-env_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-env_2_en.md new file mode 100644 index 0000000000000..87c6d3e971b70 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-env_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English env_2 DistilBertForSequenceClassification from Tianda7721 +author: John Snow Labs +name: env_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`env_2` is a English model originally trained by Tianda7721. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/env_2_en_5.2.2_3.0_1703987961068.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/env_2_en_5.2.2_3.0_1703987961068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|env_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tianda7721/env_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-env_3_en.md b/docs/_posts/ahmedlone127/2023-12-31-env_3_en.md new file mode 100644 index 0000000000000..72082e59d977b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-env_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English env_3 DistilBertForSequenceClassification from Tianda7721 +author: John Snow Labs +name: env_3 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`env_3` is a English model originally trained by Tianda7721. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/env_3_en_5.2.2_3.0_1704045878886.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/env_3_en_5.2.2_3.0_1704045878886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("env_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|env_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Tianda7721/env_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ethos_binary_hate_speech_en.md b/docs/_posts/ahmedlone127/2023-12-31-ethos_binary_hate_speech_en.md new file mode 100644 index 0000000000000..f927729072748 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ethos_binary_hate_speech_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ethos_binary_hate_speech DistilBertForSequenceClassification from MarcRoigVilamala +author: John Snow Labs +name: ethos_binary_hate_speech +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ethos_binary_hate_speech` is a English model originally trained by MarcRoigVilamala. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ethos_binary_hate_speech_en_5.2.2_3.0_1704046268744.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ethos_binary_hate_speech_en_5.2.2_3.0_1704046268744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ethos_binary_hate_speech","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ethos_binary_hate_speech","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ethos_binary_hate_speech| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/MarcRoigVilamala/ethos_binary_hate_speech \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-evas_detection_portuguese_en.md b/docs/_posts/ahmedlone127/2023-12-31-evas_detection_portuguese_en.md new file mode 100644 index 0000000000000..96331edff76cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-evas_detection_portuguese_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English evas_detection_portuguese DistilBertForSequenceClassification from alenaa +author: John Snow Labs +name: evas_detection_portuguese +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evas_detection_portuguese` is a English model originally trained by alenaa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evas_detection_portuguese_en_5.2.2_3.0_1704046374056.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evas_detection_portuguese_en_5.2.2_3.0_1704046374056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("evas_detection_portuguese","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("evas_detection_portuguese","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|evas_detection_portuguese| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alenaa/evas_detection_pt \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-evasiveness_en.md b/docs/_posts/ahmedlone127/2023-12-31-evasiveness_en.md new file mode 100644 index 0000000000000..cdb59072bdecd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-evasiveness_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English evasiveness DistilBertForSequenceClassification from alenaa +author: John Snow Labs +name: evasiveness +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evasiveness` is a English model originally trained by alenaa. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evasiveness_en_5.2.2_3.0_1704051985046.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evasiveness_en_5.2.2_3.0_1704051985046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("evasiveness","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("evasiveness","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|evasiveness| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/alenaa/evasiveness \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-exp1_en.md b/docs/_posts/ahmedlone127/2023-12-31-exp1_en.md new file mode 100644 index 0000000000000..d57d4285494fb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-exp1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English exp1 DistilBertForSequenceClassification from Prerna +author: John Snow Labs +name: exp1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp1` is a English model originally trained by Prerna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp1_en_5.2.2_3.0_1703989526787.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp1_en_5.2.2_3.0_1703989526787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("exp1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("exp1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|exp1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Prerna/exp1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-fake2_en.md b/docs/_posts/ahmedlone127/2023-12-31-fake2_en.md new file mode 100644 index 0000000000000..9efdaa1f9780b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-fake2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake2 DistilBertForSequenceClassification from kleopatra102 +author: John Snow Labs +name: fake2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake2` is a English model originally trained by kleopatra102. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake2_en_5.2.2_3.0_1704011099777.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake2_en_5.2.2_3.0_1704011099777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kleopatra102/fake2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-fake_news_lat_en.md b/docs/_posts/ahmedlone127/2023-12-31-fake_news_lat_en.md new file mode 100644 index 0000000000000..6bc7ac174bd79 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-fake_news_lat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fake_news_lat DistilBertForSequenceClassification from PriaPillai +author: John Snow Labs +name: fake_news_lat +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_lat` is a English model originally trained by PriaPillai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_lat_en_5.2.2_3.0_1703991134069.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_lat_en_5.2.2_3.0_1703991134069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_news_lat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fake_news_lat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fake_news_lat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PriaPillai/fake_news_lat \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-fine_tuned_dota_en.md b/docs/_posts/ahmedlone127/2023-12-31-fine_tuned_dota_en.md new file mode 100644 index 0000000000000..bb942c75c8fe0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-fine_tuned_dota_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English fine_tuned_dota DistilBertForSequenceClassification from CMunch +author: John Snow Labs +name: fine_tuned_dota +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_dota` is a English model originally trained by CMunch. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_dota_en_5.2.2_3.0_1704045740347.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_dota_en_5.2.2_3.0_1704045740347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_dota","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("fine_tuned_dota","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|fine_tuned_dota| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CMunch/fine_tuned_dota \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuned_distilbert_chunked_article_categorization_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuned_distilbert_chunked_article_categorization_en.md new file mode 100644 index 0000000000000..f94875b6ceb1c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuned_distilbert_chunked_article_categorization_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_distilbert_chunked_article_categorization DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: finetuned_distilbert_chunked_article_categorization +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_chunked_article_categorization` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_chunked_article_categorization_en_5.2.2_3.0_1704048614524.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_chunked_article_categorization_en_5.2.2_3.0_1704048614524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_chunked_article_categorization","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_distilbert_chunked_article_categorization","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_distilbert_chunked_article_categorization| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-chunked-article-categorization \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuned_emotion_clayygodd_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuned_emotion_clayygodd_en.md new file mode 100644 index 0000000000000..141f193250932 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuned_emotion_clayygodd_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_emotion_clayygodd DistilBertForSequenceClassification from clayygodd +author: John Snow Labs +name: finetuned_emotion_clayygodd +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_emotion_clayygodd` is a English model originally trained by clayygodd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_emotion_clayygodd_en_5.2.2_3.0_1704046818054.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_emotion_clayygodd_en_5.2.2_3.0_1704046818054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_emotion_clayygodd","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_emotion_clayygodd","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_emotion_clayygodd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/clayygodd/finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuned_model_juliaannjose_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuned_model_juliaannjose_en.md new file mode 100644 index 0000000000000..5d479ac0fc272 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuned_model_juliaannjose_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_model_juliaannjose DistilBertForSequenceClassification from juliaannjose +author: John Snow Labs +name: finetuned_model_juliaannjose +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_model_juliaannjose` is a English model originally trained by juliaannjose. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_model_juliaannjose_en_5.2.2_3.0_1704045157648.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_model_juliaannjose_en_5.2.2_3.0_1704045157648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_model_juliaannjose","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_model_juliaannjose","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_model_juliaannjose| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/juliaannjose/finetuned_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_classfication_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_classfication_distilbert_model_en.md new file mode 100644 index 0000000000000..b2c1bb05674c5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_classfication_distilbert_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_sentiment_classfication_distilbert_model DistilBertForSequenceClassification from slickdata +author: John Snow Labs +name: finetuned_sentiment_classfication_distilbert_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_distilbert_model` is a English model originally trained by slickdata. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_en_5.2.2_3.0_1704061536472.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_distilbert_model_en_5.2.2_3.0_1704061536472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_classfication_distilbert_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_sentiment_classfication_distilbert_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/slickdata/finetuned-Sentiment-classfication-DistilBert-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_model_runaksh_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_model_runaksh_en.md new file mode 100644 index 0000000000000..79faf774a8cc1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuned_sentiment_model_runaksh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_sentiment_model_runaksh DistilBertForSequenceClassification from runaksh +author: John Snow Labs +name: finetuned_sentiment_model_runaksh +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_model_runaksh` is a English model originally trained by runaksh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_model_runaksh_en_5.2.2_3.0_1704051824103.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_model_runaksh_en_5.2.2_3.0_1704051824103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_model_runaksh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_sentiment_model_runaksh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_sentiment_model_runaksh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/runaksh/finetuned-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetunedbertsentiment_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetunedbertsentiment_en.md new file mode 100644 index 0000000000000..cb09b571a6058 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetunedbertsentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetunedbertsentiment DistilBertForSequenceClassification from jowid100 +author: John Snow Labs +name: finetunedbertsentiment +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetunedbertsentiment` is a English model originally trained by jowid100. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetunedbertsentiment_en_5.2.2_3.0_1704045893797.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetunedbertsentiment_en_5.2.2_3.0_1704045893797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetunedbertsentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetunedbertsentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetunedbertsentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jowid100/FineTunedBERTSentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_covid19_tweets_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_covid19_tweets_en.md new file mode 100644 index 0000000000000..3770ad190f4ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_covid19_tweets_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_covid19_tweets DistilBertForSequenceClassification from DicksonMassawe +author: John Snow Labs +name: finetuning_covid19_tweets +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_covid19_tweets` is a English model originally trained by DicksonMassawe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_covid19_tweets_en_5.2.2_3.0_1704044754724.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_covid19_tweets_en_5.2.2_3.0_1704044754724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_covid19_tweets","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_covid19_tweets","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_covid19_tweets| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DicksonMassawe/finetuning-covid19-tweets \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_3000_samples_en.md new file mode 100644 index 0000000000000..f6300f0bfaa48 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_3000_samples DistilBertForSequenceClassification from tkathuria +author: John Snow Labs +name: finetuning_emotion_model_3000_samples +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_3000_samples` is a English model originally trained by tkathuria. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_3000_samples_en_5.2.2_3.0_1704047244184.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_3000_samples_en_5.2.2_3.0_1704047244184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tkathuria/finetuning-emotion-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_dicksonmassawe_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_dicksonmassawe_en.md new file mode 100644 index 0000000000000..b599565b4a56f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_dicksonmassawe_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_dicksonmassawe DistilBertForSequenceClassification from DicksonMassawe +author: John Snow Labs +name: finetuning_emotion_model_dicksonmassawe +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_dicksonmassawe` is a English model originally trained by DicksonMassawe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_dicksonmassawe_en_5.2.2_3.0_1704003159888.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_dicksonmassawe_en_5.2.2_3.0_1704003159888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_dicksonmassawe","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_dicksonmassawe","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_dicksonmassawe| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DicksonMassawe/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_doyle26_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_doyle26_en.md new file mode 100644 index 0000000000000..05d95a160d17e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_doyle26_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_doyle26 DistilBertForSequenceClassification from Doyle26 +author: John Snow Labs +name: finetuning_emotion_model_doyle26 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_doyle26` is a English model originally trained by Doyle26. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_doyle26_en_5.2.2_3.0_1704049701650.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_doyle26_en_5.2.2_3.0_1704049701650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_doyle26","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_doyle26","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_doyle26| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Doyle26/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_tarantuula_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_tarantuula_en.md new file mode 100644 index 0000000000000..eabba8f30e324 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_emotion_model_tarantuula_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_tarantuula DistilBertForSequenceClassification from tarantuula +author: John Snow Labs +name: finetuning_emotion_model_tarantuula +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_tarantuula` is a English model originally trained by tarantuula. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_tarantuula_en_5.2.2_3.0_1704050154765.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_tarantuula_en_5.2.2_3.0_1704050154765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_tarantuula","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_tarantuula","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_tarantuula| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tarantuula/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_1000_zhaohui_ilonaf_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_1000_zhaohui_ilonaf_en.md new file mode 100644 index 0000000000000..4bf0a3058203a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_1000_zhaohui_ilonaf_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_misinfo_model_1000_zhaohui_ilonaf DistilBertForSequenceClassification from IlonaF +author: John Snow Labs +name: finetuning_misinfo_model_1000_zhaohui_ilonaf +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_misinfo_model_1000_zhaohui_ilonaf` is a English model originally trained by IlonaF. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_1000_zhaohui_ilonaf_en_5.2.2_3.0_1704003767400.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_1000_zhaohui_ilonaf_en_5.2.2_3.0_1704003767400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_1000_zhaohui_ilonaf","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_1000_zhaohui_ilonaf","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_misinfo_model_1000_zhaohui_ilonaf| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/IlonaF/finetuning-misinfo-model-1000-Zhaohui \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_ilona_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_ilona_en.md new file mode 100644 index 0000000000000..ea65e322f2940 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_misinfo_model_ilona_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_misinfo_model_ilona DistilBertForSequenceClassification from Meow412 +author: John Snow Labs +name: finetuning_misinfo_model_ilona +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_misinfo_model_ilona` is a English model originally trained by Meow412. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_ilona_en_5.2.2_3.0_1703988818588.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_misinfo_model_ilona_en_5.2.2_3.0_1703988818588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_ilona","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_misinfo_model_ilona","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_misinfo_model_ilona| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Meow412/finetuning-misinfo-model-Ilona \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_risk_evluation_model_wc_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_risk_evluation_model_wc_en.md new file mode 100644 index 0000000000000..b1bd8e7978f59 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_risk_evluation_model_wc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_risk_evluation_model_wc DistilBertForSequenceClassification from Amaboh +author: John Snow Labs +name: finetuning_risk_evluation_model_wc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_risk_evluation_model_wc` is a English model originally trained by Amaboh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_risk_evluation_model_wc_en_5.2.2_3.0_1704050331947.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_risk_evluation_model_wc_en_5.2.2_3.0_1704050331947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_risk_evluation_model_wc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_risk_evluation_model_wc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_risk_evluation_model_wc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Amaboh/finetuning-risk-evluation-model-wc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_amazon_group23_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_amazon_group23_en.md new file mode 100644 index 0000000000000..3c53a8b3a726d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_amazon_group23_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_amazon_group23 DistilBertForSequenceClassification from Christiansg +author: John Snow Labs +name: finetuning_sentiment_amazon_group23 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_amazon_group23` is a English model originally trained by Christiansg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_amazon_group23_en_5.2.2_3.0_1704044948568.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_amazon_group23_en_5.2.2_3.0_1704044948568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_amazon_group23","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_amazon_group23","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_amazon_group23| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Christiansg/finetuning-sentiment-amazon-group23 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_gendered_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_gendered_dataset_en.md new file mode 100644 index 0000000000000..fb5736f235449 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_gendered_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_gendered_dataset DistilBertForSequenceClassification from C-Lo +author: John Snow Labs +name: finetuning_sentiment_gendered_dataset +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_gendered_dataset` is a English model originally trained by C-Lo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_gendered_dataset_en_5.2.2_3.0_1704044767388.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_gendered_dataset_en_5.2.2_3.0_1704044767388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_gendered_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_gendered_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_gendered_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/C-Lo/finetuning-sentiment-gendered-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_shezus_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_shezus_en.md new file mode 100644 index 0000000000000..0c14856d1ec44 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_shezus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_10000_samples_shezus DistilBertForSequenceClassification from Shezus +author: John Snow Labs +name: finetuning_sentiment_model_10000_samples_shezus +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_10000_samples_shezus` is a English model originally trained by Shezus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_shezus_en_5.2.2_3.0_1704048325727.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_shezus_en_5.2.2_3.0_1704048325727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_shezus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_shezus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_10000_samples_shezus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Shezus/finetuning-sentiment-model-10000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_youlun77_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_youlun77_en.md new file mode 100644 index 0000000000000..b636435a4805f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_10000_samples_youlun77_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_10000_samples_youlun77 DistilBertForSequenceClassification from youlun77 +author: John Snow Labs +name: finetuning_sentiment_model_10000_samples_youlun77 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_10000_samples_youlun77` is a English model originally trained by youlun77. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_youlun77_en_5.2.2_3.0_1704047467761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_youlun77_en_5.2.2_3.0_1704047467761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_youlun77","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_10000_samples_youlun77","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_10000_samples_youlun77| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/youlun77/finetuning-sentiment-model-10000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_1_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_1_en.md new file mode 100644 index 0000000000000..b3709e243a837 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_1 DistilBertForSequenceClassification from Rbaudeu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_1` is a English model originally trained by Rbaudeu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_1_en_5.2.2_3.0_1704004082731.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_1_en_5.2.2_3.0_1704004082731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Rbaudeu/finetuning-sentiment-model-3000-samples-1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abhikatta_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abhikatta_en.md new file mode 100644 index 0000000000000..5385ef07b1951 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abhikatta_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_abhikatta DistilBertForSequenceClassification from abhikatta +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_abhikatta +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_abhikatta` is a English model originally trained by abhikatta. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abhikatta_en_5.2.2_3.0_1704066910583.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abhikatta_en_5.2.2_3.0_1704066910583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abhikatta","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abhikatta","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_abhikatta| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/abhikatta/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abiodun12_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abiodun12_en.md new file mode 100644 index 0000000000000..7f48c4e53271d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_abiodun12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_abiodun12 DistilBertForSequenceClassification from abiodun12 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_abiodun12 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_abiodun12` is a English model originally trained by abiodun12. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abiodun12_en_5.2.2_3.0_1704049013336.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abiodun12_en_5.2.2_3.0_1704049013336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abiodun12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_abiodun12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_abiodun12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/abiodun12/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_achyut_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_achyut_en.md new file mode 100644 index 0000000000000..e61a6132db41f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_achyut_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_achyut DistilBertForSequenceClassification from achyut +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_achyut +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_achyut` is a English model originally trained by achyut. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_achyut_en_5.2.2_3.0_1703984612766.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_achyut_en_5.2.2_3.0_1703984612766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_achyut","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_achyut","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_achyut| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/achyut/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsharrad_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsharrad_en.md new file mode 100644 index 0000000000000..94e51a7c4a317 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsharrad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_afsharrad DistilBertForSequenceClassification from afsharrad +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_afsharrad +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_afsharrad` is a English model originally trained by afsharrad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_afsharrad_en_5.2.2_3.0_1703984943691.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_afsharrad_en_5.2.2_3.0_1703984943691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_afsharrad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_afsharrad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_afsharrad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/afsharrad/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsuarezg_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsuarezg_en.md new file mode 100644 index 0000000000000..097082a7a1cfc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_afsuarezg_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_afsuarezg DistilBertForSequenceClassification from afsuarezg +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_afsuarezg +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_afsuarezg` is a English model originally trained by afsuarezg. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_afsuarezg_en_5.2.2_3.0_1704050781516.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_afsuarezg_en_5.2.2_3.0_1704050781516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_afsuarezg","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_afsuarezg","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_afsuarezg| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/afsuarezg/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_beanz1935_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_beanz1935_en.md new file mode 100644 index 0000000000000..2b095f2d18f4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_beanz1935_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_beanz1935 DistilBertForSequenceClassification from Beanz1935 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_beanz1935 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_beanz1935` is a English model originally trained by Beanz1935. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beanz1935_en_5.2.2_3.0_1704052817941.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_beanz1935_en_5.2.2_3.0_1704052817941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beanz1935","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_beanz1935","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_beanz1935| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Beanz1935/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_benlitzen43_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_benlitzen43_en.md new file mode 100644 index 0000000000000..725cad1cf0bdc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_benlitzen43_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_benlitzen43 DistilBertForSequenceClassification from Benlitzen43 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_benlitzen43 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_benlitzen43` is a English model originally trained by Benlitzen43. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_benlitzen43_en_5.2.2_3.0_1704066947617.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_benlitzen43_en_5.2.2_3.0_1704066947617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_benlitzen43","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_benlitzen43","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_benlitzen43| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Benlitzen43/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chabuno_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chabuno_en.md new file mode 100644 index 0000000000000..02f54b96e3506 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chabuno_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_chabuno DistilBertForSequenceClassification from Chabuno +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_chabuno +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chabuno` is a English model originally trained by Chabuno. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chabuno_en_5.2.2_3.0_1704050485349.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chabuno_en_5.2.2_3.0_1704050485349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chabuno","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chabuno","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_chabuno| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Chabuno/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chris_s87_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chris_s87_en.md new file mode 100644 index 0000000000000..d29e44659674e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_chris_s87_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_chris_s87 DistilBertForSequenceClassification from Chris-S87 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_chris_s87 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_chris_s87` is a English model originally trained by Chris-S87. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chris_s87_en_5.2.2_3.0_1703998462025.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_chris_s87_en_5.2.2_3.0_1703998462025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chris_s87","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_chris_s87","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_chris_s87| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Chris-S87/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cmcdatagroup_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cmcdatagroup_en.md new file mode 100644 index 0000000000000..ee0f9d03db09e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cmcdatagroup_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cmcdatagroup DistilBertForSequenceClassification from CMCDataGroup +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cmcdatagroup +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cmcdatagroup` is a English model originally trained by CMCDataGroup. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cmcdatagroup_en_5.2.2_3.0_1703983874326.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cmcdatagroup_en_5.2.2_3.0_1703983874326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cmcdatagroup","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cmcdatagroup","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cmcdatagroup| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/CMCDataGroup/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cptsoybean_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cptsoybean_en.md new file mode 100644 index 0000000000000..3b0dd3b4002e0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_cptsoybean_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cptsoybean DistilBertForSequenceClassification from CptSoybean +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cptsoybean +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cptsoybean` is a English model originally trained by CptSoybean. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cptsoybean_en_5.2.2_3.0_1704065502778.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cptsoybean_en_5.2.2_3.0_1704065502778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cptsoybean","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cptsoybean","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cptsoybean| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CptSoybean/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_davegold_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_davegold_en.md new file mode 100644 index 0000000000000..d02c0c228a9fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_davegold_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_davegold DistilBertForSequenceClassification from davegold +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_davegold +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_davegold` is a English model originally trained by davegold. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davegold_en_5.2.2_3.0_1704048877381.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_davegold_en_5.2.2_3.0_1704048877381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davegold","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_davegold","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_davegold| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/davegold/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_emmeemme_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_emmeemme_en.md new file mode 100644 index 0000000000000..62b80851433b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_emmeemme_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_emmeemme DistilBertForSequenceClassification from emmeemme +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_emmeemme +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_emmeemme` is a English model originally trained by emmeemme. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_emmeemme_en_5.2.2_3.0_1704051370021.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_emmeemme_en_5.2.2_3.0_1704051370021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_emmeemme","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_emmeemme","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_emmeemme| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/emmeemme/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_eneskaya_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_eneskaya_en.md new file mode 100644 index 0000000000000..24f915d52ac66 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_eneskaya_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_eneskaya DistilBertForSequenceClassification from eneskaya +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_eneskaya +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_eneskaya` is a English model originally trained by eneskaya. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eneskaya_en_5.2.2_3.0_1703996668406.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_eneskaya_en_5.2.2_3.0_1703996668406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eneskaya","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_eneskaya","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_eneskaya| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/eneskaya/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_faezehsgh_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_faezehsgh_en.md new file mode 100644 index 0000000000000..be584c9281a1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_faezehsgh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_faezehsgh DistilBertForSequenceClassification from faezehsgh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_faezehsgh +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_faezehsgh` is a English model originally trained by faezehsgh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_faezehsgh_en_5.2.2_3.0_1704045698461.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_faezehsgh_en_5.2.2_3.0_1704045698461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_faezehsgh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_faezehsgh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_faezehsgh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/faezehsgh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_franconoronha_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_franconoronha_en.md new file mode 100644 index 0000000000000..03906ecd199d5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_franconoronha_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_franconoronha DistilBertForSequenceClassification from franconoronha +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_franconoronha +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_franconoronha` is a English model originally trained by franconoronha. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_franconoronha_en_5.2.2_3.0_1704055636499.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_franconoronha_en_5.2.2_3.0_1704055636499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_franconoronha","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_franconoronha","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_franconoronha| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/franconoronha/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_gbyourss_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_gbyourss_en.md new file mode 100644 index 0000000000000..9eb1a71699de7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_gbyourss_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_gbyourss DistilBertForSequenceClassification from gbyourss +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_gbyourss +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_gbyourss` is a English model originally trained by gbyourss. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_gbyourss_en_5.2.2_3.0_1704059243261.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_gbyourss_en_5.2.2_3.0_1704059243261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_gbyourss","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_gbyourss","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_gbyourss| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gbyourss/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_guga1787_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_guga1787_en.md new file mode 100644 index 0000000000000..419eadc43c01d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_guga1787_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_guga1787 DistilBertForSequenceClassification from guga1787 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_guga1787 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_guga1787` is a English model originally trained by guga1787. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_guga1787_en_5.2.2_3.0_1704044947871.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_guga1787_en_5.2.2_3.0_1704044947871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_guga1787","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_guga1787","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_guga1787| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/guga1787/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hirad123_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hirad123_en.md new file mode 100644 index 0000000000000..427aaf371d78d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hirad123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hirad123 DistilBertForSequenceClassification from hirad123 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hirad123 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hirad123` is a English model originally trained by hirad123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hirad123_en_5.2.2_3.0_1704010532375.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hirad123_en_5.2.2_3.0_1704010532375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hirad123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hirad123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hirad123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hirad123/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_huarddk_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_huarddk_en.md new file mode 100644 index 0000000000000..a723d7f643966 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_huarddk_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_huarddk DistilBertForSequenceClassification from huarddk +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_huarddk +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_huarddk` is a English model originally trained by huarddk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_huarddk_en_5.2.2_3.0_1703981651953.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_huarddk_en_5.2.2_3.0_1703981651953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_huarddk","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_huarddk","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_huarddk| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/huarddk/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hugmeonce_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hugmeonce_en.md new file mode 100644 index 0000000000000..30bfa1e5676da --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_hugmeonce_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_hugmeonce DistilBertForSequenceClassification from hugmeonce +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_hugmeonce +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hugmeonce` is a English model originally trained by hugmeonce. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugmeonce_en_5.2.2_3.0_1704048171523.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugmeonce_en_5.2.2_3.0_1704048171523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugmeonce","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_hugmeonce","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_hugmeonce| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hugmeonce/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_iness1000_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_iness1000_en.md new file mode 100644 index 0000000000000..b4196382d429d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_iness1000_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_iness1000 DistilBertForSequenceClassification from Iness1000 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_iness1000 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_iness1000` is a English model originally trained by Iness1000. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iness1000_en_5.2.2_3.0_1704046140320.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iness1000_en_5.2.2_3.0_1704046140320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_iness1000","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_iness1000","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_iness1000| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Iness1000/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_kmin940_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_kmin940_en.md new file mode 100644 index 0000000000000..aaef76ddf5835 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_kmin940_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_kmin940 DistilBertForSequenceClassification from kmin940 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_kmin940 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_kmin940` is a English model originally trained by kmin940. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kmin940_en_5.2.2_3.0_1704049985991.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_kmin940_en_5.2.2_3.0_1704049985991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kmin940","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_kmin940","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_kmin940| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kmin940/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_linyangnyc_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_linyangnyc_en.md new file mode 100644 index 0000000000000..05970dd75283e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_linyangnyc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_linyangnyc DistilBertForSequenceClassification from linyangnyc +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_linyangnyc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_linyangnyc` is a English model originally trained by linyangnyc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_linyangnyc_en_5.2.2_3.0_1704051551714.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_linyangnyc_en_5.2.2_3.0_1704051551714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_linyangnyc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_linyangnyc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_linyangnyc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/linyangnyc/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_liviu_vladutu_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_liviu_vladutu_en.md new file mode 100644 index 0000000000000..40df6b2548797 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_liviu_vladutu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_liviu_vladutu DistilBertForSequenceClassification from liviu-vladutu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_liviu_vladutu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_liviu_vladutu` is a English model originally trained by liviu-vladutu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_liviu_vladutu_en_5.2.2_3.0_1704046679786.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_liviu_vladutu_en_5.2.2_3.0_1704046679786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_liviu_vladutu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_liviu_vladutu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_liviu_vladutu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/liviu-vladutu/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_matthewo_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_matthewo_en.md new file mode 100644 index 0000000000000..8e17bf2a031ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_matthewo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_matthewo DistilBertForSequenceClassification from matthewo +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_matthewo +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_matthewo` is a English model originally trained by matthewo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_matthewo_en_5.2.2_3.0_1704058538239.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_matthewo_en_5.2.2_3.0_1704058538239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_matthewo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_matthewo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_matthewo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/matthewo/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_moniem_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_moniem_en.md new file mode 100644 index 0000000000000..063bfe492cb77 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_moniem_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_moniem DistilBertForSequenceClassification from moniem +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_moniem +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_moniem` is a English model originally trained by moniem. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_moniem_en_5.2.2_3.0_1704058904668.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_moniem_en_5.2.2_3.0_1704058904668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_moniem","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_moniem","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_moniem| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/moniem/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nandinikajla2104_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nandinikajla2104_en.md new file mode 100644 index 0000000000000..3819ce58dc341 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nandinikajla2104_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nandinikajla2104 DistilBertForSequenceClassification from Nandinikajla2104 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nandinikajla2104 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nandinikajla2104` is a English model originally trained by Nandinikajla2104. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nandinikajla2104_en_5.2.2_3.0_1704055696101.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nandinikajla2104_en_5.2.2_3.0_1704055696101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nandinikajla2104","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nandinikajla2104","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nandinikajla2104| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nandinikajla2104/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nathanvoldman_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nathanvoldman_en.md new file mode 100644 index 0000000000000..3383186d26209 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nathanvoldman_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nathanvoldman DistilBertForSequenceClassification from NathanVoldman +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nathanvoldman +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nathanvoldman` is a English model originally trained by NathanVoldman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nathanvoldman_en_5.2.2_3.0_1704000317595.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nathanvoldman_en_5.2.2_3.0_1704000317595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nathanvoldman","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nathanvoldman","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nathanvoldman| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/NathanVoldman/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nikhilsuresh_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nikhilsuresh_en.md new file mode 100644 index 0000000000000..7b0e25a314b0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nikhilsuresh_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nikhilsuresh DistilBertForSequenceClassification from nikhilsuresh +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nikhilsuresh +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nikhilsuresh` is a English model originally trained by nikhilsuresh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nikhilsuresh_en_5.2.2_3.0_1703990336018.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nikhilsuresh_en_5.2.2_3.0_1703990336018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nikhilsuresh","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nikhilsuresh","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nikhilsuresh| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nikhilsuresh/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nilam_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nilam_en.md new file mode 100644 index 0000000000000..14147e9696602 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nilam_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nilam DistilBertForSequenceClassification from nilam +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nilam +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nilam` is a English model originally trained by nilam. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nilam_en_5.2.2_3.0_1703988818574.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nilam_en_5.2.2_3.0_1703988818574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nilam","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nilam","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nilam| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nilam/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nullt_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nullt_en.md new file mode 100644 index 0000000000000..090d4d1070607 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_nullt_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nullt DistilBertForSequenceClassification from NullT +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nullt +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nullt` is a English model originally trained by NullT. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nullt_en_5.2.2_3.0_1704004924940.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nullt_en_5.2.2_3.0_1704004924940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nullt","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nullt","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nullt| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NullT/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_phkag_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_phkag_en.md new file mode 100644 index 0000000000000..7be64782391a3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_phkag_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_phkag DistilBertForSequenceClassification from phkag +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_phkag +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_phkag` is a English model originally trained by phkag. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_phkag_en_5.2.2_3.0_1704051111909.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_phkag_en_5.2.2_3.0_1704051111909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_phkag","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_phkag","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_phkag| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/phkag/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_pranaydave_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_pranaydave_en.md new file mode 100644 index 0000000000000..e50e2d7eec2a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_pranaydave_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_pranaydave DistilBertForSequenceClassification from PranayDave +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_pranaydave +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_pranaydave` is a English model originally trained by PranayDave. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_pranaydave_en_5.2.2_3.0_1704009056458.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_pranaydave_en_5.2.2_3.0_1704009056458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_pranaydave","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_pranaydave","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_pranaydave| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/PranayDave/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_rbaudeu_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_rbaudeu_en.md new file mode 100644 index 0000000000000..de8b784bc7fe9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_rbaudeu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_rbaudeu DistilBertForSequenceClassification from Rbaudeu +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_rbaudeu +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rbaudeu` is a English model originally trained by Rbaudeu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rbaudeu_en_5.2.2_3.0_1703991917470.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rbaudeu_en_5.2.2_3.0_1703991917470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rbaudeu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_rbaudeu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_rbaudeu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rbaudeu/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_richardlowes_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_richardlowes_en.md new file mode 100644 index 0000000000000..622d1879cfb6e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_richardlowes_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_richardlowes DistilBertForSequenceClassification from richardlowes +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_richardlowes +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_richardlowes` is a English model originally trained by richardlowes. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_richardlowes_en_5.2.2_3.0_1704047243965.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_richardlowes_en_5.2.2_3.0_1704047243965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_richardlowes","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_richardlowes","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_richardlowes| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/richardlowes/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_salohnana2018_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_salohnana2018_en.md new file mode 100644 index 0000000000000..44217f4fe5452 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_salohnana2018_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_salohnana2018 DistilBertForSequenceClassification from salohnana2018 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_salohnana2018 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_salohnana2018` is a English model originally trained by salohnana2018. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_salohnana2018_en_5.2.2_3.0_1704047101485.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_salohnana2018_en_5.2.2_3.0_1704047101485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_salohnana2018","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_salohnana2018","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_salohnana2018| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/salohnana2018/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sharonpersis_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sharonpersis_en.md new file mode 100644 index 0000000000000..5a94032718068 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sharonpersis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sharonpersis DistilBertForSequenceClassification from SharonPersis +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sharonpersis +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sharonpersis` is a English model originally trained by SharonPersis. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sharonpersis_en_5.2.2_3.0_1704054549360.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sharonpersis_en_5.2.2_3.0_1704054549360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sharonpersis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sharonpersis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sharonpersis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SharonPersis/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_shezus_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_shezus_en.md new file mode 100644 index 0000000000000..d50858ee85150 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_shezus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_shezus DistilBertForSequenceClassification from Shezus +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_shezus +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_shezus` is a English model originally trained by Shezus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shezus_en_5.2.2_3.0_1704047650135.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shezus_en_5.2.2_3.0_1704047650135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shezus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shezus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_shezus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shezus/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_simbarashe_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_simbarashe_en.md new file mode 100644 index 0000000000000..fd8280b984b2e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_simbarashe_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_simbarashe DistilBertForSequenceClassification from Simbarashe +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_simbarashe +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_simbarashe` is a English model originally trained by Simbarashe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_simbarashe_en_5.2.2_3.0_1704050964852.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_simbarashe_en_5.2.2_3.0_1704050964852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_simbarashe","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_simbarashe","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_simbarashe| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Simbarashe/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_spartanengineer_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_spartanengineer_en.md new file mode 100644 index 0000000000000..7144b9d9af09f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_spartanengineer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_spartanengineer DistilBertForSequenceClassification from SpartanEngineer +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_spartanengineer +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_spartanengineer` is a English model originally trained by SpartanEngineer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_spartanengineer_en_5.2.2_3.0_1704051545836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_spartanengineer_en_5.2.2_3.0_1704051545836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_spartanengineer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_spartanengineer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_spartanengineer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SpartanEngineer/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sravan18_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sravan18_en.md new file mode 100644 index 0000000000000..c0b41fc5e9042 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_sravan18_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sravan18 DistilBertForSequenceClassification from Sravan18 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sravan18 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sravan18` is a English model originally trained by Sravan18. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sravan18_en_5.2.2_3.0_1704047941232.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sravan18_en_5.2.2_3.0_1704047941232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sravan18","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sravan18","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sravan18| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Sravan18/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_stemacre_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_stemacre_en.md new file mode 100644 index 0000000000000..2616339aa456d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_stemacre_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_stemacre DistilBertForSequenceClassification from SteMaCre +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_stemacre +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_stemacre` is a English model originally trained by SteMaCre. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stemacre_en_5.2.2_3.0_1704046683641.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stemacre_en_5.2.2_3.0_1704046683641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_stemacre","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_stemacre","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_stemacre| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/SteMaCre/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tonyla25_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tonyla25_en.md new file mode 100644 index 0000000000000..480cc12fb11d9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tonyla25_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_tonyla25 DistilBertForSequenceClassification from tonyla25 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_tonyla25 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_tonyla25` is a English model originally trained by tonyla25. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tonyla25_en_5.2.2_3.0_1704054851902.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tonyla25_en_5.2.2_3.0_1704054851902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tonyla25","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tonyla25","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_tonyla25| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tonyla25/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tusharppatil_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tusharppatil_en.md new file mode 100644 index 0000000000000..29d31b592567a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_tusharppatil_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_tusharppatil DistilBertForSequenceClassification from TUSHARPPATIL +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_tusharppatil +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_tusharppatil` is a English model originally trained by TUSHARPPATIL. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tusharppatil_en_5.2.2_3.0_1703983528444.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tusharppatil_en_5.2.2_3.0_1703983528444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tusharppatil","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_tusharppatil","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_tusharppatil| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TUSHARPPATIL/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_viewless_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_viewless_en.md new file mode 100644 index 0000000000000..8817fcda748c8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_viewless_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_viewless DistilBertForSequenceClassification from ViewLess +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_viewless +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_viewless` is a English model originally trained by ViewLess. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_viewless_en_5.2.2_3.0_1703985596611.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_viewless_en_5.2.2_3.0_1703985596611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_viewless","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_viewless","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_viewless| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ViewLess/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_xyu1163_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_xyu1163_en.md new file mode 100644 index 0000000000000..a6de77ba002cd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_xyu1163_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_xyu1163 DistilBertForSequenceClassification from xyu1163 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_xyu1163 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_xyu1163` is a English model originally trained by xyu1163. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xyu1163_en_5.2.2_3.0_1704049265252.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xyu1163_en_5.2.2_3.0_1704049265252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_xyu1163","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_xyu1163","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_xyu1163| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/xyu1163/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yarbhelp_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yarbhelp_en.md new file mode 100644 index 0000000000000..16a8f09fe0181 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yarbhelp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yarbhelp DistilBertForSequenceClassification from YarbHelp +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yarbhelp +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yarbhelp` is a English model originally trained by YarbHelp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yarbhelp_en_5.2.2_3.0_1704050487593.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yarbhelp_en_5.2.2_3.0_1704050487593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yarbhelp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yarbhelp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yarbhelp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/YarbHelp/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yhwng_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yhwng_en.md new file mode 100644 index 0000000000000..d12260ce9d6de --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_yhwng_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_yhwng DistilBertForSequenceClassification from yhwng +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_yhwng +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yhwng` is a English model originally trained by yhwng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yhwng_en_5.2.2_3.0_1704048753336.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yhwng_en_5.2.2_3.0_1704048753336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yhwng","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_yhwng","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_yhwng| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/yhwng/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_zacru_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_zacru_en.md new file mode 100644 index 0000000000000..0510f43fa6888 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_3000_samples_zacru_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_zacru DistilBertForSequenceClassification from Zacru +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_zacru +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_zacru` is a English model originally trained by Zacru. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zacru_en_5.2.2_3.0_1704048011396.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_zacru_en_5.2.2_3.0_1704048011396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zacru","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_zacru","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_zacru| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Zacru/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_300_gpu_12_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_300_gpu_12_en.md new file mode 100644 index 0000000000000..c51683181ce57 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_300_gpu_12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_300_gpu_12 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: finetuning_sentiment_model_300_gpu_12 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_300_gpu_12` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_12_en_5.2.2_3.0_1703984145148.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_gpu_12_en_5.2.2_3.0_1703984145148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_300_gpu_12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_300_gpu_12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/finetuning-sentiment-model-300-gpu-12 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_350_samples_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_350_samples_en.md new file mode 100644 index 0000000000000..f78e9a926c2aa --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_350_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_350_samples DistilBertForSequenceClassification from huarddk +author: John Snow Labs +name: finetuning_sentiment_model_350_samples +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_350_samples` is a English model originally trained by huarddk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_350_samples_en_5.2.2_3.0_1704007429093.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_350_samples_en_5.2.2_3.0_1704007429093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_350_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_350_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_350_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/huarddk/finetuning-sentiment-model-350-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_5000_samples_shezus_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_5000_samples_shezus_en.md new file mode 100644 index 0000000000000..d1485694fd70c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_5000_samples_shezus_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_5000_samples_shezus DistilBertForSequenceClassification from Shezus +author: John Snow Labs +name: finetuning_sentiment_model_5000_samples_shezus +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_samples_shezus` is a English model originally trained by Shezus. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_shezus_en_5.2.2_3.0_1704045405683.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_shezus_en_5.2.2_3.0_1704045405683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_shezus","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_shezus","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_5000_samples_shezus| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shezus/finetuning-sentiment-model-5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_6000_samples_nored355_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_6000_samples_nored355_en.md new file mode 100644 index 0000000000000..9d1cee9313230 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_6000_samples_nored355_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_6000_samples_nored355 DistilBertForSequenceClassification from nored355 +author: John Snow Labs +name: finetuning_sentiment_model_6000_samples_nored355 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_6000_samples_nored355` is a English model originally trained by nored355. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_nored355_en_5.2.2_3.0_1704063094228.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_nored355_en_5.2.2_3.0_1704063094228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_6000_samples_nored355","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_6000_samples_nored355","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_6000_samples_nored355| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nored355/finetuning-sentiment-model-6000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby5000_andreac94_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby5000_andreac94_en.md new file mode 100644 index 0000000000000..d99b326084844 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby5000_andreac94_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_andreac94 DistilBertForSequenceClassification from andreac94 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_andreac94 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_andreac94` is a English model originally trained by andreac94. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_andreac94_en_5.2.2_3.0_1703991149371.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_andreac94_en_5.2.2_3.0_1703991149371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_andreac94","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_andreac94","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_andreac94| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/andreac94/finetuning-sentiment-model-amazonbaby5000 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby_en.md new file mode 100644 index 0000000000000..e86ee19a42dae --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_amazonbaby_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby DistilBertForSequenceClassification from a01137646 +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby` is a English model originally trained by a01137646. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_en_5.2.2_3.0_1704046944550.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby_en_5.2.2_3.0_1704046944550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/a01137646/finetuning-sentiment-model-amazonbaby \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_aseth123_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_aseth123_en.md new file mode 100644 index 0000000000000..024d7922bb253 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_aseth123_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_aseth123 DistilBertForSequenceClassification from aseth123 +author: John Snow Labs +name: finetuning_sentiment_model_aseth123 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_aseth123` is a English model originally trained by aseth123. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_aseth123_en_5.2.2_3.0_1704048447122.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_aseth123_en_5.2.2_3.0_1704048447122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_aseth123","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_aseth123","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_aseth123| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aseth123/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_base_zero_shot_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_base_zero_shot_en.md new file mode 100644 index 0000000000000..781fae3fe1cff --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_base_zero_shot_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_base_zero_shot DistilBertForSequenceClassification from IAyoub +author: John Snow Labs +name: finetuning_sentiment_model_base_zero_shot +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_base_zero_shot` is a English model originally trained by IAyoub. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_base_zero_shot_en_5.2.2_3.0_1704051353407.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_base_zero_shot_en_5.2.2_3.0_1704051353407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_base_zero_shot","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_base_zero_shot","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_base_zero_shot| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/IAyoub/finetuning-sentiment-model-base-zero-shot \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_dhisnemo_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_dhisnemo_en.md new file mode 100644 index 0000000000000..e1003e12b35a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_dhisnemo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_dhisnemo DistilBertForSequenceClassification from DHISNEMO +author: John Snow Labs +name: finetuning_sentiment_model_dhisnemo +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_dhisnemo` is a English model originally trained by DHISNEMO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dhisnemo_en_5.2.2_3.0_1704045588921.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dhisnemo_en_5.2.2_3.0_1704045588921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_dhisnemo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_dhisnemo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_dhisnemo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/DHISNEMO/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_imdb_full_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_imdb_full_en.md new file mode 100644 index 0000000000000..61d94f172ab0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_imdb_full_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_imdb_full DistilBertForSequenceClassification from slyle +author: John Snow Labs +name: finetuning_sentiment_model_imdb_full +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_imdb_full` is a English model originally trained by slyle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_full_en_5.2.2_3.0_1703981273752.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_full_en_5.2.2_3.0_1703981273752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_imdb_full","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_imdb_full","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_imdb_full| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/slyle/finetuning-sentiment-model-imdb-full \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_maegancp_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_maegancp_en.md new file mode 100644 index 0000000000000..381a5c65721e7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_maegancp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_maegancp DistilBertForSequenceClassification from maegancp +author: John Snow Labs +name: finetuning_sentiment_model_maegancp +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_maegancp` is a English model originally trained by maegancp. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_maegancp_en_5.2.2_3.0_1704059079109.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_maegancp_en_5.2.2_3.0_1704059079109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_maegancp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_maegancp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_maegancp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/maegancp/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_turkish_court_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_turkish_court_en.md new file mode 100644 index 0000000000000..e274b2d067187 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_turkish_court_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_turkish_court DistilBertForSequenceClassification from ahmetalpyy +author: John Snow Labs +name: finetuning_sentiment_model_turkish_court +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_turkish_court` is a English model originally trained by ahmetalpyy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_turkish_court_en_5.2.2_3.0_1704046369196.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_turkish_court_en_5.2.2_3.0_1704046369196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_turkish_court","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_turkish_court","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_turkish_court| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ahmetalpyy/finetuning-sentiment-model-turkish-court \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_tweet_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_tweet_en.md new file mode 100644 index 0000000000000..b1000146ce875 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_model_tweet_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_tweet DistilBertForSequenceClassification from Garfieldgx +author: John Snow Labs +name: finetuning_sentiment_model_tweet +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_tweet` is a English model originally trained by Garfieldgx. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tweet_en_5.2.2_3.0_1704051984036.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tweet_en_5.2.2_3.0_1704051984036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tweet","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_tweet","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_tweet| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Garfieldgx/finetuning-sentiment-model-tweet \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_neutral_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_neutral_dataset_en.md new file mode 100644 index 0000000000000..515ea65d01b0f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-finetuning_sentiment_neutral_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_neutral_dataset DistilBertForSequenceClassification from C-Lo +author: John Snow Labs +name: finetuning_sentiment_neutral_dataset +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_neutral_dataset` is a English model originally trained by C-Lo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_neutral_dataset_en_5.2.2_3.0_1704049570230.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_neutral_dataset_en_5.2.2_3.0_1704049570230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_neutral_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_neutral_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_neutral_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/C-Lo/finetuning-sentiment-neutral-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-genre_pred_model_reduced_4_epochs_en.md b/docs/_posts/ahmedlone127/2023-12-31-genre_pred_model_reduced_4_epochs_en.md new file mode 100644 index 0000000000000..0db6ee1d54c68 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-genre_pred_model_reduced_4_epochs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English genre_pred_model_reduced_4_epochs DistilBertForSequenceClassification from matthiasr +author: John Snow Labs +name: genre_pred_model_reduced_4_epochs +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genre_pred_model_reduced_4_epochs` is a English model originally trained by matthiasr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_4_epochs_en_5.2.2_3.0_1704052961829.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_4_epochs_en_5.2.2_3.0_1704052961829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_reduced_4_epochs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_reduced_4_epochs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|genre_pred_model_reduced_4_epochs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/matthiasr/genre_pred_model_reduced_4_epochs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ggb2221_en.md b/docs/_posts/ahmedlone127/2023-12-31-ggb2221_en.md new file mode 100644 index 0000000000000..9001710789f98 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ggb2221_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ggb2221 DistilBertForSequenceClassification from joohwan +author: John Snow Labs +name: ggb2221 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ggb2221` is a English model originally trained by joohwan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ggb2221_en_5.2.2_3.0_1704051412335.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ggb2221_en_5.2.2_3.0_1704051412335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ggb2221","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ggb2221","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ggb2221| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joohwan/ggb2221 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ggb2_en.md b/docs/_posts/ahmedlone127/2023-12-31-ggb2_en.md new file mode 100644 index 0000000000000..afed4cb2a4f4a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ggb2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ggb2 DistilBertForSequenceClassification from joohwan +author: John Snow Labs +name: ggb2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ggb2` is a English model originally trained by joohwan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ggb2_en_5.2.2_3.0_1704049016266.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ggb2_en_5.2.2_3.0_1704049016266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ggb2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ggb2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ggb2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joohwan/ggb2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354_en.md b/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354_en.md new file mode 100644 index 0000000000000..8b89d2d710c76 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354 DistilBertForSequenceClassification from samaksh-khatri +author: John Snow Labs +name: gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354` is a English model originally trained by samaksh-khatri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354_en_5.2.2_3.0_1704008952663.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354_en_5.2.2_3.0_1704008952663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|gmra_model_distilbert_base_uncased_distilled_squad_17082023t161354| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/samaksh-khatri/gmra_model_distilbert-base-uncased-distilled-squad_17082023T161354 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_en.md b/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_en.md new file mode 100644 index 0000000000000..ea8dc34b16fbd --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709 DistilBertForSequenceClassification from samaksh-khatri +author: John Snow Labs +name: gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709` is a English model originally trained by samaksh-khatri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_en_5.2.2_3.0_1704049119190.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_en_5.2.2_3.0_1704049119190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/samaksh-khatri/gmra_model_distilbert-base-uncased-distilled-squad_17082023T171709 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-good_sentiment_model4_en.md b/docs/_posts/ahmedlone127/2023-12-31-good_sentiment_model4_en.md new file mode 100644 index 0000000000000..cd262ef35df9f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-good_sentiment_model4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English good_sentiment_model4 DistilBertForSequenceClassification from TheJournal +author: John Snow Labs +name: good_sentiment_model4 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`good_sentiment_model4` is a English model originally trained by TheJournal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/good_sentiment_model4_en_5.2.2_3.0_1704052509664.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/good_sentiment_model4_en_5.2.2_3.0_1704052509664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("good_sentiment_model4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("good_sentiment_model4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|good_sentiment_model4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TheJournal/good_sentiment_model4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hackernews_title_scorer_en.md b/docs/_posts/ahmedlone127/2023-12-31-hackernews_title_scorer_en.md new file mode 100644 index 0000000000000..b267e90534534 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hackernews_title_scorer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hackernews_title_scorer DistilBertForSequenceClassification from kerinin +author: John Snow Labs +name: hackernews_title_scorer +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hackernews_title_scorer` is a English model originally trained by kerinin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hackernews_title_scorer_en_5.2.2_3.0_1704047302184.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hackernews_title_scorer_en_5.2.2_3.0_1704047302184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hackernews_title_scorer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hackernews_title_scorer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hackernews_title_scorer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kerinin/hackernews-title-scorer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_0_en.md b/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_0_en.md new file mode 100644 index 0000000000000..dec7b5dcc24de --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_0_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_0_0 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_0_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_0_0_en_5.2.2_3.0_1704001861076.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_0_0_en_5.2.2_3.0_1704001861076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_0_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/semy/hf-model-0-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_1_0_0_en.md b/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_1_0_0_en.md new file mode 100644 index 0000000000000..6b6d4279221ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hf_model_0_1_0_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_0_1_0_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_0_1_0_0 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_0_1_0_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_0_1_0_0_en_5.2.2_3.0_1704049525064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_0_1_0_0_en_5.2.2_3.0_1704049525064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_1_0_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_0_1_0_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_0_1_0_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/semy/hf-model-0-1-0-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hf_model_1_0_0_en.md b/docs/_posts/ahmedlone127/2023-12-31-hf_model_1_0_0_en.md new file mode 100644 index 0000000000000..e8cd617eed0f5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hf_model_1_0_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_1_0_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_1_0_0 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_1_0_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_1_0_0_en_5.2.2_3.0_1703988757296.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_1_0_0_en_5.2.2_3.0_1703988757296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_1_0_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_1_0_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_1_0_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/hf-model-1-0-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hf_model_2_0_0_en.md b/docs/_posts/ahmedlone127/2023-12-31-hf_model_2_0_0_en.md new file mode 100644 index 0000000000000..447ec991aabf9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hf_model_2_0_0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hf_model_2_0_0 DistilBertForSequenceClassification from semy +author: John Snow Labs +name: hf_model_2_0_0 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_model_2_0_0` is a English model originally trained by semy. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_model_2_0_0_en_5.2.2_3.0_1703993607455.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_model_2_0_0_en_5.2.2_3.0_1703993607455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_2_0_0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hf_model_2_0_0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hf_model_2_0_0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/semy/hf-model-2-0-0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-humanemotions_en.md b/docs/_posts/ahmedlone127/2023-12-31-humanemotions_en.md new file mode 100644 index 0000000000000..775176156f277 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-humanemotions_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English humanemotions DistilBertForSequenceClassification from Villian7 +author: John Snow Labs +name: humanemotions +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`humanemotions` is a English model originally trained by Villian7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/humanemotions_en_5.2.2_3.0_1704050163730.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/humanemotions_en_5.2.2_3.0_1704050163730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("humanemotions","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("humanemotions","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|humanemotions| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Villian7/HumanEmotions \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_full_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_full_model_en.md new file mode 100644 index 0000000000000..dc2546c2f0093 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_full_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hw1_imbd_full_model DistilBertForSequenceClassification from Rambo-007 +author: John Snow Labs +name: hw1_imbd_full_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_imbd_full_model` is a English model originally trained by Rambo-007. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_imbd_full_model_en_5.2.2_3.0_1704057522687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_imbd_full_model_en_5.2.2_3.0_1704057522687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_imbd_full_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_imbd_full_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hw1_imbd_full_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rambo-007/hw1-IMBD-full-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_preprocessed_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_preprocessed_model_en.md new file mode 100644 index 0000000000000..2ca6b6121d76a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-hw1_imbd_preprocessed_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English hw1_imbd_preprocessed_model DistilBertForSequenceClassification from Rambo-007 +author: John Snow Labs +name: hw1_imbd_preprocessed_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_imbd_preprocessed_model` is a English model originally trained by Rambo-007. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_imbd_preprocessed_model_en_5.2.2_3.0_1704048826649.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_imbd_preprocessed_model_en_5.2.2_3.0_1704048826649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_imbd_preprocessed_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("hw1_imbd_preprocessed_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|hw1_imbd_preprocessed_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rambo-007/hw1-IMBD-preprocessed-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza_en.md b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza_en.md new file mode 100644 index 0000000000000..1204c4f487434 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza DistilBertForSequenceClassification from dfelorza +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza` is a English model originally trained by dfelorza. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza_en_5.2.2_3.0_1704063812199.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza_en_5.2.2_3.0_1704063812199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_dfelorza| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dfelorza/imdbreviews_classification_distilbert_v02_clf_finetuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_goma705_en.md b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_goma705_en.md new file mode 100644 index 0000000000000..5b50b792d6f53 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_goma705_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_clf_finetuning_goma705 DistilBertForSequenceClassification from goma705 +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_clf_finetuning_goma705 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_goma705` is a English model originally trained by goma705. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_goma705_en_5.2.2_3.0_1704050034695.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_goma705_en_5.2.2_3.0_1704050034695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_goma705","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_goma705","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_goma705| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/goma705/imdbreviews_classification_distilbert_v02_clf_finetuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev_en.md b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev_en.md new file mode 100644 index 0000000000000..232bd3774129b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev DistilBertForSequenceClassification from jdmartinev +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev` is a English model originally trained by jdmartinev. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev_en_5.2.2_3.0_1704065503798.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev_en_5.2.2_3.0_1704065503798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_jdmartinev| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jdmartinev/imdbreviews_classification_distilbert_v02_clf_finetuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_jgutierrez90_en.md b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_jgutierrez90_en.md new file mode 100644 index 0000000000000..caa0cc71ee9d3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-imdbreviews_classification_distilbert_v02_jgutierrez90_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_jgutierrez90 DistilBertForSequenceClassification from Jgutierrez90 +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_jgutierrez90 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_jgutierrez90` is a English model originally trained by Jgutierrez90. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_jgutierrez90_en_5.2.2_3.0_1704056578287.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_jgutierrez90_en_5.2.2_3.0_1704056578287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_jgutierrez90","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_jgutierrez90","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_jgutierrez90| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Jgutierrez90/imdbreviews_classification_distilbert_v02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-input_classifier_v2_en.md b/docs/_posts/ahmedlone127/2023-12-31-input_classifier_v2_en.md new file mode 100644 index 0000000000000..a47695a4ccc19 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-input_classifier_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English input_classifier_v2 DistilBertForSequenceClassification from Abris +author: John Snow Labs +name: input_classifier_v2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`input_classifier_v2` is a English model originally trained by Abris. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/input_classifier_v2_en_5.2.2_3.0_1704008349104.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/input_classifier_v2_en_5.2.2_3.0_1704008349104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("input_classifier_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("input_classifier_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|input_classifier_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Abris/input-classifier-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-intent_classifier_incentive_for_connecting_en.md b/docs/_posts/ahmedlone127/2023-12-31-intent_classifier_incentive_for_connecting_en.md new file mode 100644 index 0000000000000..01abebe34375f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-intent_classifier_incentive_for_connecting_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English intent_classifier_incentive_for_connecting DistilBertForSequenceClassification from Zain6699 +author: John Snow Labs +name: intent_classifier_incentive_for_connecting +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_incentive_for_connecting` is a English model originally trained by Zain6699. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_incentive_for_connecting_en_5.2.2_3.0_1704059239057.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_incentive_for_connecting_en_5.2.2_3.0_1704059239057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_incentive_for_connecting","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("intent_classifier_incentive_for_connecting","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|intent_classifier_incentive_for_connecting| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Zain6699/intent-classifier-incentive_for_connecting \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_1_en.md b/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_1_en.md new file mode 100644 index 0000000000000..d91b590dc4620 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English iotnation_classification_model_0_1 DistilBertForSequenceClassification from chriskim2273 +author: John Snow Labs +name: iotnation_classification_model_0_1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iotnation_classification_model_0_1` is a English model originally trained by chriskim2273. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_1_en_5.2.2_3.0_1704045586326.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_1_en_5.2.2_3.0_1704045586326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|iotnation_classification_model_0_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/chriskim2273/IOTNation_Classification_Model_0.1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_4_smaller_cleaned_set_4k_en.md b/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_4_smaller_cleaned_set_4k_en.md new file mode 100644 index 0000000000000..d37f626a94a47 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-iotnation_classification_model_0_4_smaller_cleaned_set_4k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English iotnation_classification_model_0_4_smaller_cleaned_set_4k DistilBertForSequenceClassification from chriskim2273 +author: John Snow Labs +name: iotnation_classification_model_0_4_smaller_cleaned_set_4k +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iotnation_classification_model_0_4_smaller_cleaned_set_4k` is a English model originally trained by chriskim2273. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_4_smaller_cleaned_set_4k_en_5.2.2_3.0_1704062434131.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_4_smaller_cleaned_set_4k_en_5.2.2_3.0_1704062434131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_4_smaller_cleaned_set_4k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_4_smaller_cleaned_set_4k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|iotnation_classification_model_0_4_smaller_cleaned_set_4k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/chriskim2273/IOTNation_Classification_Model_0.4_SMALLER_CLEANED_SET_4k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-kaggle_tweet_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-kaggle_tweet_model_en.md new file mode 100644 index 0000000000000..8d270c19ce50d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-kaggle_tweet_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kaggle_tweet_model DistilBertForSequenceClassification from beever +author: John Snow Labs +name: kaggle_tweet_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kaggle_tweet_model` is a English model originally trained by beever. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kaggle_tweet_model_en_5.2.2_3.0_1703982367836.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kaggle_tweet_model_en_5.2.2_3.0_1703982367836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kaggle_tweet_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kaggle_tweet_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kaggle_tweet_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/beever/kaggle_tweet_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_hardware_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_hardware_claim_one_en.md new file mode 100644 index 0000000000000..07f396320519e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_hardware_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_hardware_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_hardware_claim_one +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_hardware_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_hardware_claim_one_en_5.2.2_3.0_1704004069150.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_hardware_claim_one_en_5.2.2_3.0_1704004069150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_hardware_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_hardware_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_hardware_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_hardware_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_kanuri_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_kanuri_claim_one_en.md new file mode 100644 index 0000000000000..4d0eec2a52aaf --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_kanuri_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_kanuri_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_kanuri_claim_one +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_kanuri_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_kanuri_claim_one_en_5.2.2_3.0_1703982711154.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_kanuri_claim_one_en_5.2.2_3.0_1703982711154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_kanuri_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_kanuri_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_kanuri_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_kr_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_malayalam_claim_one_en.md b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_malayalam_claim_one_en.md new file mode 100644 index 0000000000000..d68cb2d5c7e2f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-kinyarwanda_model_aipd_malayalam_claim_one_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kinyarwanda_model_aipd_malayalam_claim_one DistilBertForSequenceClassification from patent +author: John Snow Labs +name: kinyarwanda_model_aipd_malayalam_claim_one +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyarwanda_model_aipd_malayalam_claim_one` is a English model originally trained by patent. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_malayalam_claim_one_en_5.2.2_3.0_1704004502283.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyarwanda_model_aipd_malayalam_claim_one_en_5.2.2_3.0_1704004502283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_malayalam_claim_one","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kinyarwanda_model_aipd_malayalam_claim_one","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kinyarwanda_model_aipd_malayalam_claim_one| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/patent/rw_model_AIPD_ml_claim_one \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-kt_distilbert_class_en.md b/docs/_posts/ahmedlone127/2023-12-31-kt_distilbert_class_en.md new file mode 100644 index 0000000000000..74fcdbb146ec3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-kt_distilbert_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English kt_distilbert_class DistilBertForSequenceClassification from kelvinleong +author: John Snow Labs +name: kt_distilbert_class +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kt_distilbert_class` is a English model originally trained by kelvinleong. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kt_distilbert_class_en_5.2.2_3.0_1704048457126.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kt_distilbert_class_en_5.2.2_3.0_1704048457126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("kt_distilbert_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("kt_distilbert_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|kt_distilbert_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kelvinleong/KT_DistilBert_Class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-learning_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-31-learning_sentiment_en.md new file mode 100644 index 0000000000000..ddbd53c1b50b8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-learning_sentiment_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English learning_sentiment DistilBertForSequenceClassification from ncheng +author: John Snow Labs +name: learning_sentiment +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`learning_sentiment` is a English model originally trained by ncheng. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/learning_sentiment_en_5.2.2_3.0_1704046948406.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/learning_sentiment_en_5.2.2_3.0_1704046948406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("learning_sentiment","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("learning_sentiment","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|learning_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ncheng/learning-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-left_padding30model_en.md b/docs/_posts/ahmedlone127/2023-12-31-left_padding30model_en.md new file mode 100644 index 0000000000000..d241afb01a160 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-left_padding30model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding30model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding30model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding30model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding30model_en_5.2.2_3.0_1704064700961.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding30model_en_5.2.2_3.0_1704064700961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding30model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding30model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding30model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Realgon/left_padding30model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-left_padding70model_en.md b/docs/_posts/ahmedlone127/2023-12-31-left_padding70model_en.md new file mode 100644 index 0000000000000..2fbbc53760560 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-left_padding70model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding70model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding70model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding70model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding70model_en_5.2.2_3.0_1704054555803.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding70model_en_5.2.2_3.0_1704054555803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding70model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding70model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding70model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Realgon/left_padding70model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-left_padding90model_en.md b/docs/_posts/ahmedlone127/2023-12-31-left_padding90model_en.md new file mode 100644 index 0000000000000..5a33251f8a957 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-left_padding90model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding90model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding90model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding90model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding90model_en_5.2.2_3.0_1704059693989.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding90model_en_5.2.2_3.0_1704059693989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding90model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding90model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding90model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Realgon/left_padding90model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_response_only_en.md b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_response_only_en.md new file mode 100644 index 0000000000000..cda8eba34d8f4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_response_only_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_3_classes_seed_32_response_only DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_3_classes_seed_32_response_only +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_32_response_only` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_response_only_en_5.2.2_3.0_1704048740838.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_response_only_en_5.2.2_3.0_1704048740838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_response_only","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_response_only","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_3_classes_seed_32_response_only| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_3_classes_seed_32_response_only \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_v3_en.md b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_v3_en.md new file mode 100644 index 0000000000000..028918532071e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_32_v3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_3_classes_seed_32_v3 DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_3_classes_seed_32_v3 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_32_v3` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_v3_en_5.2.2_3.0_1704048542435.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_32_v3_en_5.2.2_3.0_1704048542435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_v3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_32_v3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_3_classes_seed_32_v3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_3_classes_seed_32_v3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_51_response_only_en.md b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_51_response_only_en.md new file mode 100644 index 0000000000000..a4ad324e57d40 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-lkd_3_classes_seed_51_response_only_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English lkd_3_classes_seed_51_response_only DistilBertForSequenceClassification from joshnielsen876 +author: John Snow Labs +name: lkd_3_classes_seed_51_response_only +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_51_response_only` is a English model originally trained by joshnielsen876. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_51_response_only_en_5.2.2_3.0_1704063096130.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_51_response_only_en_5.2.2_3.0_1704063096130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_51_response_only","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("lkd_3_classes_seed_51_response_only","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|lkd_3_classes_seed_51_response_only| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/joshnielsen876/LKD_3_classes_seed_51_response_only \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-llm_selector_en.md b/docs/_posts/ahmedlone127/2023-12-31-llm_selector_en.md new file mode 100644 index 0000000000000..7b18b9930d5f0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-llm_selector_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English llm_selector DistilBertForSequenceClassification from JeffreyHuang +author: John Snow Labs +name: llm_selector +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_selector` is a English model originally trained by JeffreyHuang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_selector_en_5.2.2_3.0_1704049524907.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_selector_en_5.2.2_3.0_1704049524907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("llm_selector","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("llm_selector","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|llm_selector| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/JeffreyHuang/llm-selector \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-llm_tests_en.md b/docs/_posts/ahmedlone127/2023-12-31-llm_tests_en.md new file mode 100644 index 0000000000000..bf3e3b889983e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-llm_tests_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English llm_tests DistilBertForSequenceClassification from madeena +author: John Snow Labs +name: llm_tests +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_tests` is a English model originally trained by madeena. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_tests_en_5.2.2_3.0_1704057521148.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_tests_en_5.2.2_3.0_1704057521148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("llm_tests","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("llm_tests","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|llm_tests| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/madeena/LLM_tests \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-masked_dataset_en.md b/docs/_posts/ahmedlone127/2023-12-31-masked_dataset_en.md new file mode 100644 index 0000000000000..99c7dff6402b7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-masked_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English masked_dataset DistilBertForSequenceClassification from C-Lo +author: John Snow Labs +name: masked_dataset +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`masked_dataset` is a English model originally trained by C-Lo. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/masked_dataset_en_5.2.2_3.0_1704052651662.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/masked_dataset_en_5.2.2_3.0_1704052651662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("masked_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("masked_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|masked_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/C-Lo/masked-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-mbicbias_en.md b/docs/_posts/ahmedlone127/2023-12-31-mbicbias_en.md new file mode 100644 index 0000000000000..b8a68d23630df --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-mbicbias_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mbicbias DistilBertForSequenceClassification from jordankrishnayah +author: John Snow Labs +name: mbicbias +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbicbias` is a English model originally trained by jordankrishnayah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbicbias_en_5.2.2_3.0_1704050160311.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbicbias_en_5.2.2_3.0_1704050160311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mbicbias","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mbicbias","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mbicbias| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jordankrishnayah/mbicBias \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-mediabiasdetector_distilbert_3e_en.md b/docs/_posts/ahmedlone127/2023-12-31-mediabiasdetector_distilbert_3e_en.md new file mode 100644 index 0000000000000..97d0f42bbcb90 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-mediabiasdetector_distilbert_3e_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English mediabiasdetector_distilbert_3e DistilBertForSequenceClassification from jordankrishnayah +author: John Snow Labs +name: mediabiasdetector_distilbert_3e +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mediabiasdetector_distilbert_3e` is a English model originally trained by jordankrishnayah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mediabiasdetector_distilbert_3e_en_5.2.2_3.0_1704060853318.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mediabiasdetector_distilbert_3e_en_5.2.2_3.0_1704060853318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("mediabiasdetector_distilbert_3e","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("mediabiasdetector_distilbert_3e","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|mediabiasdetector_distilbert_3e| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jordankrishnayah/mediabiasdetector-distilbert-3e \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-message_intent_220628_en.md b/docs/_posts/ahmedlone127/2023-12-31-message_intent_220628_en.md new file mode 100644 index 0000000000000..24604bd8ca143 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-message_intent_220628_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English message_intent_220628 DistilBertForSequenceClassification from Yanjie +author: John Snow Labs +name: message_intent_220628 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`message_intent_220628` is a English model originally trained by Yanjie. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/message_intent_220628_en_5.2.2_3.0_1703998697678.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/message_intent_220628_en_5.2.2_3.0_1703998697678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("message_intent_220628","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("message_intent_220628","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|message_intent_220628| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/Yanjie/message-intent-220628 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-metricas_teste_en.md b/docs/_posts/ahmedlone127/2023-12-31-metricas_teste_en.md new file mode 100644 index 0000000000000..1e7f3f8a82505 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-metricas_teste_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English metricas_teste DistilBertForSequenceClassification from gsl22 +author: John Snow Labs +name: metricas_teste +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`metricas_teste` is a English model originally trained by gsl22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/metricas_teste_en_5.2.2_3.0_1704052821059.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/metricas_teste_en_5.2.2_3.0_1704052821059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("metricas_teste","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("metricas_teste","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|metricas_teste| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gsl22/Metricas_teste \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-michael_lp_en.md b/docs/_posts/ahmedlone127/2023-12-31-michael_lp_en.md new file mode 100644 index 0000000000000..b5f7e67bf7655 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-michael_lp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English michael_lp DistilBertForSequenceClassification from gaborcselle +author: John Snow Labs +name: michael_lp +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`michael_lp` is a English model originally trained by gaborcselle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/michael_lp_en_5.2.2_3.0_1703982136892.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/michael_lp_en_5.2.2_3.0_1703982136892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("michael_lp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("michael_lp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|michael_lp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gaborcselle/michael-lp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-milestone3_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-milestone3_2_en.md new file mode 100644 index 0000000000000..fe7519c422908 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-milestone3_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_2 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_2` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_2_en_5.2.2_3.0_1703986074974.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_2_en_5.2.2_3.0_1703986074974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-milestone3_5_en.md b/docs/_posts/ahmedlone127/2023-12-31-milestone3_5_en.md new file mode 100644 index 0000000000000..22a4754f70cbc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-milestone3_5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English milestone3_5 DistilBertForSequenceClassification from Rathgeberj +author: John Snow Labs +name: milestone3_5 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`milestone3_5` is a English model originally trained by Rathgeberj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/milestone3_5_en_5.2.2_3.0_1703991150365.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/milestone3_5_en_5.2.2_3.0_1703991150365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("milestone3_5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|milestone3_5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Rathgeberj/milestone3_5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_danish_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_danish_en.md new file mode 100644 index 0000000000000..f00b806a11d51 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_danish_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_danish DistilBertForSequenceClassification from zq2186 +author: John Snow Labs +name: model_danish +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_danish` is a English model originally trained by zq2186. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_danish_en_5.2.2_3.0_1704049264884.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_danish_en_5.2.2_3.0_1704049264884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_danish","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_danish","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_danish| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zq2186/model_da \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_danish_small_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_danish_small_en.md new file mode 100644 index 0000000000000..7c870f9a95d6b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_danish_small_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_danish_small DistilBertForSequenceClassification from zq2186 +author: John Snow Labs +name: model_danish_small +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_danish_small` is a English model originally trained by zq2186. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_danish_small_en_5.2.2_3.0_1704046038468.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_danish_small_en_5.2.2_3.0_1704046038468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_danish_small","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_danish_small","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_danish_small| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zq2186/model_da_small \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_demo_pingyaol_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_demo_pingyaol_en.md new file mode 100644 index 0000000000000..6728af1565e57 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_demo_pingyaol_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_demo_pingyaol DistilBertForSequenceClassification from pingyaol +author: John Snow Labs +name: model_demo_pingyaol +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_demo_pingyaol` is a English model originally trained by pingyaol. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_demo_pingyaol_en_5.2.2_3.0_1704065507578.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_demo_pingyaol_en_5.2.2_3.0_1704065507578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_demo_pingyaol","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_demo_pingyaol","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_demo_pingyaol| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pingyaol/model_demo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_intent_1_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_intent_1_en.md new file mode 100644 index 0000000000000..13e9a747d0241 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_intent_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_1 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_1` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_1_en_5.2.2_3.0_1704047485940.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_1_en_5.2.2_3.0_1704047485940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_intent_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_intent_2_en.md new file mode 100644 index 0000000000000..687462754ffc1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_intent_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_2 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_2` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_2_en_5.2.2_3.0_1704051206036.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_2_en_5.2.2_3.0_1704051206036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_intent_4_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_intent_4_en.md new file mode 100644 index 0000000000000..e0cfee15ad352 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_intent_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_4 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_4 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_4` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_4_en_5.2.2_3.0_1704009062904.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_4_en_5.2.2_3.0_1704009062904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_intent_9_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_intent_9_en.md new file mode 100644 index 0000000000000..d8dc0e87d4414 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_intent_9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_intent_9 DistilBertForSequenceClassification from Noppawat +author: John Snow Labs +name: model_intent_9 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_intent_9` is a English model originally trained by Noppawat. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_intent_9_en_5.2.2_3.0_1704048894147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_intent_9_en_5.2.2_3.0_1704048894147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_intent_9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_intent_9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Noppawat/model_intent_9 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-model_private_test_en.md b/docs/_posts/ahmedlone127/2023-12-31-model_private_test_en.md new file mode 100644 index 0000000000000..b8ba0e07952a0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-model_private_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_private_test DistilBertForSequenceClassification from davidfisher +author: John Snow Labs +name: model_private_test +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_private_test` is a English model originally trained by davidfisher. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_private_test_en_5.2.2_3.0_1704001879687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_private_test_en_5.2.2_3.0_1704001879687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_private_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_private_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_private_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/davidfisher/model_private_test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-models_tonywu233_en.md b/docs/_posts/ahmedlone127/2023-12-31-models_tonywu233_en.md new file mode 100644 index 0000000000000..914251e5447b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-models_tonywu233_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English models_tonywu233 DistilBertForSequenceClassification from Tonywu233 +author: John Snow Labs +name: models_tonywu233 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_tonywu233` is a English model originally trained by Tonywu233. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_tonywu233_en_5.2.2_3.0_1703981652012.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_tonywu233_en_5.2.2_3.0_1703981652012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("models_tonywu233","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("models_tonywu233","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|models_tonywu233| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Tonywu233/models \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-nekta_help_tc_en.md b/docs/_posts/ahmedlone127/2023-12-31-nekta_help_tc_en.md new file mode 100644 index 0000000000000..c3ef6475c7e57 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-nekta_help_tc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nekta_help_tc DistilBertForSequenceClassification from webstels +author: John Snow Labs +name: nekta_help_tc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nekta_help_tc` is a English model originally trained by webstels. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nekta_help_tc_en_5.2.2_3.0_1704009775429.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nekta_help_tc_en_5.2.2_3.0_1704009775429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nekta_help_tc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nekta_help_tc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nekta_help_tc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.8 MB| + +## References + +https://huggingface.co/webstels/nekta_help_tc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-news_classifier_dummy_en.md b/docs/_posts/ahmedlone127/2023-12-31-news_classifier_dummy_en.md new file mode 100644 index 0000000000000..3f98996031ffb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-news_classifier_dummy_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English news_classifier_dummy DistilBertForSequenceClassification from andypyc +author: John Snow Labs +name: news_classifier_dummy +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classifier_dummy` is a English model originally trained by andypyc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classifier_dummy_en_5.2.2_3.0_1703996054161.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classifier_dummy_en_5.2.2_3.0_1703996054161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_classifier_dummy","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("news_classifier_dummy","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|news_classifier_dummy| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/andypyc/news_classifier_dummy \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-newtransformer_en.md b/docs/_posts/ahmedlone127/2023-12-31-newtransformer_en.md new file mode 100644 index 0000000000000..27fe5b28eacd7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-newtransformer_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English newtransformer DistilBertForSequenceClassification from Mil00 +author: John Snow Labs +name: newtransformer +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`newtransformer` is a English model originally trained by Mil00. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/newtransformer_en_5.2.2_3.0_1703986440917.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/newtransformer_en_5.2.2_3.0_1703986440917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("newtransformer","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("newtransformer","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|newtransformer| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.2 MB| + +## References + +https://huggingface.co/Mil00/newtransformer \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-nigerian_pidgin_4_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-nigerian_pidgin_4_model_en.md new file mode 100644 index 0000000000000..755abe9e2323f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-nigerian_pidgin_4_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nigerian_pidgin_4_model DistilBertForSequenceClassification from RonTuretzky +author: John Snow Labs +name: nigerian_pidgin_4_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nigerian_pidgin_4_model` is a English model originally trained by RonTuretzky. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nigerian_pidgin_4_model_en_5.2.2_3.0_1703991033004.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nigerian_pidgin_4_model_en_5.2.2_3.0_1703991033004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nigerian_pidgin_4_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nigerian_pidgin_4_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nigerian_pidgin_4_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/RonTuretzky/pcm_4_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-nlp1_distilbert_en.md b/docs/_posts/ahmedlone127/2023-12-31-nlp1_distilbert_en.md new file mode 100644 index 0000000000000..84dae471f8024 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-nlp1_distilbert_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nlp1_distilbert DistilBertForSequenceClassification from aduverger +author: John Snow Labs +name: nlp1_distilbert +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp1_distilbert` is a English model originally trained by aduverger. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp1_distilbert_en_5.2.2_3.0_1704048108110.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp1_distilbert_en_5.2.2_3.0_1704048108110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp1_distilbert","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp1_distilbert","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nlp1_distilbert| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/aduverger/NLP1-Distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-nlp_disaster_classification_en.md b/docs/_posts/ahmedlone127/2023-12-31-nlp_disaster_classification_en.md new file mode 100644 index 0000000000000..960edf89d09cc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-nlp_disaster_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English nlp_disaster_classification DistilBertForSequenceClassification from mn367 +author: John Snow Labs +name: nlp_disaster_classification +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_disaster_classification` is a English model originally trained by mn367. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_disaster_classification_en_5.2.2_3.0_1703998071275.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_disaster_classification_en_5.2.2_3.0_1703998071275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_disaster_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_disaster_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nlp_disaster_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mn367/nlp-disaster-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-nlp_sentiment_zh.md b/docs/_posts/ahmedlone127/2023-12-31-nlp_sentiment_zh.md new file mode 100644 index 0000000000000..181592fb26360 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-nlp_sentiment_zh.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Chinese nlp_sentiment DistilBertForSequenceClassification from lingxf1131 +author: John Snow Labs +name: nlp_sentiment +date: 2023-12-31 +tags: [bert, zh, open_source, sequence_classification, onnx] +task: Text Classification +language: zh +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sentiment` is a Chinese model originally trained by lingxf1131. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sentiment_zh_5.2.2_3.0_1704048626308.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sentiment_zh_5.2.2_3.0_1704048626308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_sentiment","zh")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("nlp_sentiment","zh") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|nlp_sentiment| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|zh| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lingxf1131/nlp-sentiment \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-panich_en.md b/docs/_posts/ahmedlone127/2023-12-31-panich_en.md new file mode 100644 index 0000000000000..53ccd80494bad --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-panich_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English panich DistilBertForSequenceClassification from chinmayapani +author: John Snow Labs +name: panich +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`panich` is a English model originally trained by chinmayapani. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/panich_en_5.2.2_3.0_1703990335199.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/panich_en_5.2.2_3.0_1703990335199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("panich","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("panich","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|panich| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chinmayapani/panich \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-platzi_distilbert_model_similaritytexts_jorgeenciso_en.md b/docs/_posts/ahmedlone127/2023-12-31-platzi_distilbert_model_similaritytexts_jorgeenciso_en.md new file mode 100644 index 0000000000000..bebea99d5d8b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-platzi_distilbert_model_similaritytexts_jorgeenciso_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English platzi_distilbert_model_similaritytexts_jorgeenciso DistilBertForSequenceClassification from jorgeduardo13 +author: John Snow Labs +name: platzi_distilbert_model_similaritytexts_jorgeenciso +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilbert_model_similaritytexts_jorgeenciso` is a English model originally trained by jorgeduardo13. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilbert_model_similaritytexts_jorgeenciso_en_5.2.2_3.0_1704046627499.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilbert_model_similaritytexts_jorgeenciso_en_5.2.2_3.0_1704046627499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("platzi_distilbert_model_similaritytexts_jorgeenciso","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("platzi_distilbert_model_similaritytexts_jorgeenciso","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|platzi_distilbert_model_similaritytexts_jorgeenciso| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jorgeduardo13/platzi-distilbert-model-similaritytexts-JorgeEnciso \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-political_en.md b/docs/_posts/ahmedlone127/2023-12-31-political_en.md new file mode 100644 index 0000000000000..ebca82e058837 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-political_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English political DistilBertForSequenceClassification from jordankrishnayah +author: John Snow Labs +name: political +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`political` is a English model originally trained by jordankrishnayah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/political_en_5.2.2_3.0_1704063144687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/political_en_5.2.2_3.0_1704063144687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("political","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("political","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|political| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/jordankrishnayah/political \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-post_here_en.md b/docs/_posts/ahmedlone127/2023-12-31-post_here_en.md new file mode 100644 index 0000000000000..b51cb8c04b403 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-post_here_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English post_here DistilBertForSequenceClassification from spentaur +author: John Snow Labs +name: post_here +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`post_here` is a English model originally trained by spentaur. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/post_here_en_5.2.2_3.0_1704049900904.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/post_here_en_5.2.2_3.0_1704049900904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("post_here","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("post_here","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|post_here| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|521.4 MB| + +## References + +https://huggingface.co/spentaur/post-here \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-prasun_en.md b/docs/_posts/ahmedlone127/2023-12-31-prasun_en.md new file mode 100644 index 0000000000000..b589b60c0cc58 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-prasun_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prasun DistilBertForSequenceClassification from PrasunMishra +author: John Snow Labs +name: prasun +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prasun` is a English model originally trained by PrasunMishra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prasun_en_5.2.2_3.0_1703997326683.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prasun_en_5.2.2_3.0_1703997326683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prasun","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prasun","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prasun| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/PrasunMishra/prasun \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-prueba2_en.md b/docs/_posts/ahmedlone127/2023-12-31-prueba2_en.md new file mode 100644 index 0000000000000..f020b9ba8af65 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-prueba2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English prueba2 DistilBertForSequenceClassification from manarea +author: John Snow Labs +name: prueba2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prueba2` is a English model originally trained by manarea. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prueba2_en_5.2.2_3.0_1703985687830.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prueba2_en_5.2.2_3.0_1703985687830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("prueba2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|prueba2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/manarea/prueba2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-q8_phq_en.md b/docs/_posts/ahmedlone127/2023-12-31-q8_phq_en.md new file mode 100644 index 0000000000000..fdd3a432f0edc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-q8_phq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q8_phq DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: q8_phq +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q8_phq` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q8_phq_en_5.2.2_3.0_1704053868019.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q8_phq_en_5.2.2_3.0_1704053868019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q8_phq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q8_phq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q8_phq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ishwarbb23/Q8-PHQ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-rate_jokes_bert_v2_en.md b/docs/_posts/ahmedlone127/2023-12-31-rate_jokes_bert_v2_en.md new file mode 100644 index 0000000000000..1a3dc98efde8b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-rate_jokes_bert_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rate_jokes_bert_v2 DistilBertForSequenceClassification from mohameddhiab +author: John Snow Labs +name: rate_jokes_bert_v2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rate_jokes_bert_v2` is a English model originally trained by mohameddhiab. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rate_jokes_bert_v2_en_5.2.2_3.0_1704002662349.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rate_jokes_bert_v2_en_5.2.2_3.0_1704002662349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rate_jokes_bert_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rate_jokes_bert_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rate_jokes_bert_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mohameddhiab/rate-jokes-bert-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-refference_filtering_en.md b/docs/_posts/ahmedlone127/2023-12-31-refference_filtering_en.md new file mode 100644 index 0000000000000..20759545d7ff2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-refference_filtering_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English refference_filtering DistilBertForSequenceClassification from afaan00733 +author: John Snow Labs +name: refference_filtering +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`refference_filtering` is a English model originally trained by afaan00733. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/refference_filtering_en_5.2.2_3.0_1704007113125.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/refference_filtering_en_5.2.2_3.0_1704007113125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("refference_filtering","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("refference_filtering","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|refference_filtering| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/afaan00733/refference_filtering \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-rlhf_class_en.md b/docs/_posts/ahmedlone127/2023-12-31-rlhf_class_en.md new file mode 100644 index 0000000000000..de564db73224a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-rlhf_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rlhf_class DistilBertForSequenceClassification from breadlicker45 +author: John Snow Labs +name: rlhf_class +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rlhf_class` is a English model originally trained by breadlicker45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rlhf_class_en_5.2.2_3.0_1704005442339.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rlhf_class_en_5.2.2_3.0_1704005442339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rlhf_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rlhf_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rlhf_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/breadlicker45/rlhf-class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_1_en.md b/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_1_en.md new file mode 100644 index 0000000000000..aefc96d8bdb7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English safeway_item_categorization_model_dataset_1 DistilBertForSequenceClassification from iyanu773 +author: John Snow Labs +name: safeway_item_categorization_model_dataset_1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`safeway_item_categorization_model_dataset_1` is a English model originally trained by iyanu773. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_dataset_1_en_5.2.2_3.0_1704045265478.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_dataset_1_en_5.2.2_3.0_1704045265478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model_dataset_1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model_dataset_1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|safeway_item_categorization_model_dataset_1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/iyanu773/safeway_item_categorization_model_dataset_1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_2_en.md new file mode 100644 index 0000000000000..a2ae50a6dba7f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-safeway_item_categorization_model_dataset_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English safeway_item_categorization_model_dataset_2 DistilBertForSequenceClassification from iyanu773 +author: John Snow Labs +name: safeway_item_categorization_model_dataset_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`safeway_item_categorization_model_dataset_2` is a English model originally trained by iyanu773. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_dataset_2_en_5.2.2_3.0_1704047631791.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/safeway_item_categorization_model_dataset_2_en_5.2.2_3.0_1704047631791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model_dataset_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("safeway_item_categorization_model_dataset_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|safeway_item_categorization_model_dataset_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/iyanu773/safeway_item_categorization_model_dataset_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sarah_lp_en.md b/docs/_posts/ahmedlone127/2023-12-31-sarah_lp_en.md new file mode 100644 index 0000000000000..5d3e9c22f3bb3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sarah_lp_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sarah_lp DistilBertForSequenceClassification from gaborcselle +author: John Snow Labs +name: sarah_lp +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarah_lp` is a English model originally trained by gaborcselle. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarah_lp_en_5.2.2_3.0_1704004086577.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarah_lp_en_5.2.2_3.0_1704004086577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sarah_lp","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sarah_lp","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sarah_lp| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/gaborcselle/sarah-lp \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-seethal_v1_en.md b/docs/_posts/ahmedlone127/2023-12-31-seethal_v1_en.md new file mode 100644 index 0000000000000..f300001f365a9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-seethal_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English seethal_v1 DistilBertForSequenceClassification from HoussemMammeri +author: John Snow Labs +name: seethal_v1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`seethal_v1` is a English model originally trained by HoussemMammeri. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/seethal_v1_en_5.2.2_3.0_1704054555218.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/seethal_v1_en_5.2.2_3.0_1704054555218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("seethal_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("seethal_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|seethal_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/HoussemMammeri/SEETHAL-V1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentence_contraditcion_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentence_contraditcion_model_en.md new file mode 100644 index 0000000000000..d2eb8d2548ee7 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentence_contraditcion_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentence_contraditcion_model DistilBertForSequenceClassification from afg1 +author: John Snow Labs +name: sentence_contraditcion_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_contraditcion_model` is a English model originally trained by afg1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_contraditcion_model_en_5.2.2_3.0_1704051977756.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_contraditcion_model_en_5.2.2_3.0_1704051977756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_contraditcion_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentence_contraditcion_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentence_contraditcion_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/afg1/sentence_contraditcion_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_93k_entries_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_93k_entries_en.md new file mode 100644 index 0000000000000..ce603286b6bb4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_93k_entries_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_93k_entries DistilBertForSequenceClassification from vectorizer +author: John Snow Labs +name: sentiment_analysis_93k_entries +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_93k_entries` is a English model originally trained by vectorizer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_93k_entries_en_5.2.2_3.0_1703985687285.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_93k_entries_en_5.2.2_3.0_1703985687285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_93k_entries","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_93k_entries","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_93k_entries| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/vectorizer/sentiment_analysis_93k_entries \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_distilbert_emo_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_distilbert_emo_en.md new file mode 100644 index 0000000000000..2cac1eeace5bc --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_distilbert_emo_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_distilbert_emo DistilBertForSequenceClassification from ettsai +author: John Snow Labs +name: sentiment_analysis_distilbert_emo +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_distilbert_emo` is a English model originally trained by ettsai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distilbert_emo_en_5.2.2_3.0_1703998067408.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distilbert_emo_en_5.2.2_3.0_1703998067408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_distilbert_emo","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_distilbert_emo","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_distilbert_emo| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ettsai/sentiment_analysis-DistilBERT-emo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_kattyvane_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_kattyvane_en.md new file mode 100644 index 0000000000000..2d8d84b8c8f2f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_kattyvane_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_kattyvane DistilBertForSequenceClassification from KattyVane +author: John Snow Labs +name: sentiment_analysis_kattyvane +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_kattyvane` is a English model originally trained by KattyVane. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_kattyvane_en_5.2.2_3.0_1704053757254.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_kattyvane_en_5.2.2_3.0_1704053757254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_kattyvane","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_kattyvane","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_kattyvane| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/KattyVane/sentiment-analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_diego_guerra91_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_diego_guerra91_en.md new file mode 100644 index 0000000000000..12622116e18f5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_diego_guerra91_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_model_01_diego_guerra91 DistilBertForSequenceClassification from diego-guerra91 +author: John Snow Labs +name: sentiment_analysis_model_01_diego_guerra91 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_01_diego_guerra91` is a English model originally trained by diego-guerra91. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_diego_guerra91_en_5.2.2_3.0_1704058053838.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_diego_guerra91_en_5.2.2_3.0_1704058053838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_diego_guerra91","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_diego_guerra91","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_model_01_diego_guerra91| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/diego-guerra91/sentiment_analysis_model_01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_hanszap_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_hanszap_en.md new file mode 100644 index 0000000000000..ff17e97385951 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_01_hanszap_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_model_01_hanszap DistilBertForSequenceClassification from hanszap +author: John Snow Labs +name: sentiment_analysis_model_01_hanszap +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_01_hanszap` is a English model originally trained by hanszap. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_hanszap_en_5.2.2_3.0_1704052663288.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_hanszap_en_5.2.2_3.0_1704052663288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_hanszap","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_hanszap","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_model_01_hanszap| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/hanszap/sentiment_analysis_model_01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_iammartian0_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_iammartian0_en.md new file mode 100644 index 0000000000000..93408cc0e4a40 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_analysis_model_iammartian0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_model_iammartian0 DistilBertForSequenceClassification from iammartian0 +author: John Snow Labs +name: sentiment_analysis_model_iammartian0 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_iammartian0` is a English model originally trained by iammartian0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_iammartian0_en_5.2.2_3.0_1704000479889.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_iammartian0_en_5.2.2_3.0_1704000479889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_iammartian0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_iammartian0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_model_iammartian0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/iammartian0/sentiment_analysis_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_2l_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_2l_en.md new file mode 100644 index 0000000000000..2cae1a043213a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_2l_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_fine_tuned_yelp_2l DistilBertForSequenceClassification from gohbwj +author: John Snow Labs +name: sentiment_fine_tuned_yelp_2l +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_fine_tuned_yelp_2l` is a English model originally trained by gohbwj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_fine_tuned_yelp_2l_en_5.2.2_3.0_1703981273764.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_fine_tuned_yelp_2l_en_5.2.2_3.0_1703981273764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_fine_tuned_yelp_2l","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_fine_tuned_yelp_2l","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_fine_tuned_yelp_2l| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gohbwj/sentiment-fine-tuned-yelp-2L \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_3l_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_3l_en.md new file mode 100644 index 0000000000000..6fc91e4b7673e --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_fine_tuned_yelp_3l_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_fine_tuned_yelp_3l DistilBertForSequenceClassification from gohbwj +author: John Snow Labs +name: sentiment_fine_tuned_yelp_3l +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_fine_tuned_yelp_3l` is a English model originally trained by gohbwj. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_fine_tuned_yelp_3l_en_5.2.2_3.0_1704049485627.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_fine_tuned_yelp_3l_en_5.2.2_3.0_1704049485627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_fine_tuned_yelp_3l","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_fine_tuned_yelp_3l","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_fine_tuned_yelp_3l| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gohbwj/sentiment-fine-tuned-yelp-3L \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_v2_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_v2_en.md new file mode 100644 index 0000000000000..9c10d6d9cdb93 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_v2 DistilBertForSequenceClassification from fernandals +author: John Snow Labs +name: sentiment_v2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_v2` is a English model originally trained by fernandals. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_v2_en_5.2.2_3.0_1704061093181.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_v2_en_5.2.2_3.0_1704061093181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/fernandals/sentiment_v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_12_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_12_en.md new file mode 100644 index 0000000000000..24fc360cc62ec --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_12_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_version_12 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: sentiment_version_12 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_version_12` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_version_12_en_5.2.2_3.0_1703996054086.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_version_12_en_5.2.2_3.0_1703996054086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_12","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_12","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_version_12| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/sentiment_version_12 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_13_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_13_en.md new file mode 100644 index 0000000000000..53fe2b5746dbb --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_version_13 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: sentiment_version_13 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_version_13` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_version_13_en_5.2.2_3.0_1704053818291.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_version_13_en_5.2.2_3.0_1704053818291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_version_13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/sentiment_version_13 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_4_en.md b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_4_en.md new file mode 100644 index 0000000000000..b71e40e45834d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sentiment_version_4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_version_4 DistilBertForSequenceClassification from rithwik-db +author: John Snow Labs +name: sentiment_version_4 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_version_4` is a English model originally trained by rithwik-db. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_version_4_en_5.2.2_3.0_1704050334209.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_version_4_en_5.2.2_3.0_1704050334209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_version_4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_version_4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rithwik-db/sentiment_version_4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-skill_check_model_test2_en.md b/docs/_posts/ahmedlone127/2023-12-31-skill_check_model_test2_en.md new file mode 100644 index 0000000000000..b8c94d0a4db4c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-skill_check_model_test2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English skill_check_model_test2 DistilBertForSequenceClassification from rcm +author: John Snow Labs +name: skill_check_model_test2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skill_check_model_test2` is a English model originally trained by rcm. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skill_check_model_test2_en_5.2.2_3.0_1703998710780.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skill_check_model_test2_en_5.2.2_3.0_1703998710780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("skill_check_model_test2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("skill_check_model_test2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|skill_check_model_test2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rcm/skill_check_model_test2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sms_class_test2_en.md b/docs/_posts/ahmedlone127/2023-12-31-sms_class_test2_en.md new file mode 100644 index 0000000000000..4a41184352ac1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sms_class_test2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sms_class_test2 DistilBertForSequenceClassification from manish1993hf +author: John Snow Labs +name: sms_class_test2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_class_test2` is a English model originally trained by manish1993hf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_class_test2_en_5.2.2_3.0_1704045745208.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_class_test2_en_5.2.2_3.0_1704045745208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_class_test2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sms_class_test2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/manish1993hf/sms_class_test2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-sms_detection_algorithm_en.md b/docs/_posts/ahmedlone127/2023-12-31-sms_detection_algorithm_en.md new file mode 100644 index 0000000000000..0ca2caa1ea33f --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-sms_detection_algorithm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sms_detection_algorithm DistilBertForSequenceClassification from satish860 +author: John Snow Labs +name: sms_detection_algorithm +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_detection_algorithm` is a English model originally trained by satish860. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_detection_algorithm_en_5.2.2_3.0_1704045891214.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_detection_algorithm_en_5.2.2_3.0_1704045891214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_detection_algorithm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sms_detection_algorithm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sms_detection_algorithm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/satish860/sms_detection_algorithm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-solomon_en.md b/docs/_posts/ahmedlone127/2023-12-31-solomon_en.md new file mode 100644 index 0000000000000..f38e5b1b61de1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-solomon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English solomon DistilBertForSequenceClassification from kreynolds03 +author: John Snow Labs +name: solomon +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`solomon` is a English model originally trained by kreynolds03. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/solomon_en_5.2.2_3.0_1703988757269.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/solomon_en_5.2.2_3.0_1703988757269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("solomon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("solomon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|solomon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kreynolds03/Solomon \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ssc_en.md b/docs/_posts/ahmedlone127/2023-12-31-ssc_en.md new file mode 100644 index 0000000000000..3edcbbf68f07b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ssc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ssc DistilBertForSequenceClassification from trvsf +author: John Snow Labs +name: ssc +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ssc` is a English model originally trained by trvsf. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssc_en_5.2.2_3.0_1704044760194.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssc_en_5.2.2_3.0_1704044760194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ssc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ssc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ssc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/trvsf/ssc \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-story_error_classification_en.md b/docs/_posts/ahmedlone127/2023-12-31-story_error_classification_en.md new file mode 100644 index 0000000000000..74705e129b898 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-story_error_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English story_error_classification DistilBertForSequenceClassification from zcahjl3 +author: John Snow Labs +name: story_error_classification +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`story_error_classification` is a English model originally trained by zcahjl3. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/story_error_classification_en_5.2.2_3.0_1704051672518.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/story_error_classification_en_5.2.2_3.0_1704051672518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("story_error_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("story_error_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|story_error_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zcahjl3/STORY_ERROR_CLASSIFICATION \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_slf5k_en.md b/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_slf5k_en.md new file mode 100644 index 0000000000000..319cacd804956 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_slf5k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English summaries_comparisons_distilbert_tldr_slf5k DistilBertForSequenceClassification from PabloAMC +author: John Snow Labs +name: summaries_comparisons_distilbert_tldr_slf5k +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`summaries_comparisons_distilbert_tldr_slf5k` is a English model originally trained by PabloAMC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_slf5k_en_5.2.2_3.0_1704005631663.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_slf5k_en_5.2.2_3.0_1704005631663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_slf5k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_slf5k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|summaries_comparisons_distilbert_tldr_slf5k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PabloAMC/summaries-comparisons-distilbert-TLDR_slf5k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_subreddits_en.md b/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_subreddits_en.md new file mode 100644 index 0000000000000..11e9c964f71e5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-summaries_comparisons_distilbert_tldr_subreddits_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English summaries_comparisons_distilbert_tldr_subreddits DistilBertForSequenceClassification from PabloAMC +author: John Snow Labs +name: summaries_comparisons_distilbert_tldr_subreddits +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`summaries_comparisons_distilbert_tldr_subreddits` is a English model originally trained by PabloAMC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_subreddits_en_5.2.2_3.0_1704048380662.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/summaries_comparisons_distilbert_tldr_subreddits_en_5.2.2_3.0_1704048380662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_subreddits","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("summaries_comparisons_distilbert_tldr_subreddits","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|summaries_comparisons_distilbert_tldr_subreddits| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/PabloAMC/summaries-comparisons-distilbert-TLDR_subreddits \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-symptom_disease_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-symptom_disease_model_en.md new file mode 100644 index 0000000000000..2f0e7b203936a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-symptom_disease_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English symptom_disease_model DistilBertForSequenceClassification from duxprajapati +author: John Snow Labs +name: symptom_disease_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptom_disease_model` is a English model originally trained by duxprajapati. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptom_disease_model_en_5.2.2_3.0_1703992668687.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptom_disease_model_en_5.2.2_3.0_1703992668687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("symptom_disease_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("symptom_disease_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|symptom_disease_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|252.6 MB| + +## References + +https://huggingface.co/duxprajapati/symptom-disease-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-test_classification_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-test_classification_model_en.md new file mode 100644 index 0000000000000..9234617038d7d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-test_classification_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_classification_model DistilBertForSequenceClassification from overfly83 +author: John Snow Labs +name: test_classification_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_classification_model` is a English model originally trained by overfly83. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_classification_model_en_5.2.2_3.0_1704045247812.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_classification_model_en_5.2.2_3.0_1704045247812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_classification_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_classification_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_classification_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/overfly83/test-classification-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-test_mwinterhalter_en.md b/docs/_posts/ahmedlone127/2023-12-31-test_mwinterhalter_en.md new file mode 100644 index 0000000000000..f0d4f9548df27 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-test_mwinterhalter_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_mwinterhalter DistilBertForSequenceClassification from mwinterhalter +author: John Snow Labs +name: test_mwinterhalter +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_mwinterhalter` is a English model originally trained by mwinterhalter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_mwinterhalter_en_5.2.2_3.0_1704047690870.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_mwinterhalter_en_5.2.2_3.0_1704047690870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_mwinterhalter","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_mwinterhalter","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_mwinterhalter| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mwinterhalter/test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-testing_news_en.md b/docs/_posts/ahmedlone127/2023-12-31-testing_news_en.md new file mode 100644 index 0000000000000..5017922928d7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-testing_news_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English testing_news DistilBertForSequenceClassification from abdulmatinomotoso +author: John Snow Labs +name: testing_news +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_news` is a English model originally trained by abdulmatinomotoso. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_news_en_5.2.2_3.0_1704050157258.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_news_en_5.2.2_3.0_1704050157258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("testing_news","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("testing_news","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|testing_news| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abdulmatinomotoso/testing_news \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-testmodel_mwinterhalter_en.md b/docs/_posts/ahmedlone127/2023-12-31-testmodel_mwinterhalter_en.md new file mode 100644 index 0000000000000..0ce18498992a4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-testmodel_mwinterhalter_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English testmodel_mwinterhalter DistilBertForSequenceClassification from mwinterhalter +author: John Snow Labs +name: testmodel_mwinterhalter +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testmodel_mwinterhalter` is a English model originally trained by mwinterhalter. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testmodel_mwinterhalter_en_5.2.2_3.0_1704053067104.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testmodel_mwinterhalter_en_5.2.2_3.0_1704053067104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_mwinterhalter","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("testmodel_mwinterhalter","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|testmodel_mwinterhalter| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mwinterhalter/testmodel \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-text_classification_inner_lab_en.md b/docs/_posts/ahmedlone127/2023-12-31-text_classification_inner_lab_en.md new file mode 100644 index 0000000000000..27d5e0ba168b2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-text_classification_inner_lab_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_inner_lab DistilBertForSequenceClassification from AtomGradient +author: John Snow Labs +name: text_classification_inner_lab +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_inner_lab` is a English model originally trained by AtomGradient. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_inner_lab_en_5.2.2_3.0_1704046534078.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_inner_lab_en_5.2.2_3.0_1704046534078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_inner_lab","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_inner_lab","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_inner_lab| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AtomGradient/text_classification_inner_lab \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-title_2_en.md b/docs/_posts/ahmedlone127/2023-12-31-title_2_en.md new file mode 100644 index 0000000000000..ad33fa6f139ca --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-title_2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English title_2 DistilBertForSequenceClassification from whorseman +author: John Snow Labs +name: title_2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`title_2` is a English model originally trained by whorseman. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/title_2_en_5.2.2_3.0_1703984945951.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/title_2_en_5.2.2_3.0_1703984945951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("title_2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("title_2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|title_2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/whorseman/title_2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-top_level_v2_en.md b/docs/_posts/ahmedlone127/2023-12-31-top_level_v2_en.md new file mode 100644 index 0000000000000..ca40eea2c84a1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-top_level_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English top_level_v2 DistilBertForSequenceClassification from aaulakh +author: John Snow Labs +name: top_level_v2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`top_level_v2` is a English model originally trained by aaulakh. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/top_level_v2_en_5.2.2_3.0_1704045106194.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/top_level_v2_en_5.2.2_3.0_1704045106194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("top_level_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("top_level_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|top_level_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aaulakh/top-level-v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-tuned_for_patentability_en.md b/docs/_posts/ahmedlone127/2023-12-31-tuned_for_patentability_en.md new file mode 100644 index 0000000000000..209f36e3e21e3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-tuned_for_patentability_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tuned_for_patentability DistilBertForSequenceClassification from ayethuzar +author: John Snow Labs +name: tuned_for_patentability +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuned_for_patentability` is a English model originally trained by ayethuzar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuned_for_patentability_en_5.2.2_3.0_1704052323884.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuned_for_patentability_en_5.2.2_3.0_1704052323884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tuned_for_patentability","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tuned_for_patentability","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tuned_for_patentability| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ayethuzar/tuned-for-patentability \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment1_en.md b/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment1_en.md new file mode 100644 index 0000000000000..9ca4f318a6532 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweetsentiment1 DistilBertForSequenceClassification from LionelNH +author: John Snow Labs +name: tweetsentiment1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweetsentiment1` is a English model originally trained by LionelNH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetsentiment1_en_5.2.2_3.0_1704049830243.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetsentiment1_en_5.2.2_3.0_1704049830243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweetsentiment1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LionelNH/tweetSentiment1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment2_en.md b/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment2_en.md new file mode 100644 index 0000000000000..8b1f6c2a25df2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-tweetsentiment2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweetsentiment2 DistilBertForSequenceClassification from LionelNH +author: John Snow Labs +name: tweetsentiment2 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweetsentiment2` is a English model originally trained by LionelNH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetsentiment2_en_5.2.2_3.0_1704062330228.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetsentiment2_en_5.2.2_3.0_1704062330228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweetsentiment2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LionelNH/tweetSentiment2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-twitter_sentiment_model_distilbert_bfcr_en.md b/docs/_posts/ahmedlone127/2023-12-31-twitter_sentiment_model_distilbert_bfcr_en.md new file mode 100644 index 0000000000000..7174b1352e79d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-twitter_sentiment_model_distilbert_bfcr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twitter_sentiment_model_distilbert_bfcr DistilBertForSequenceClassification from bfcr +author: John Snow Labs +name: twitter_sentiment_model_distilbert_bfcr +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_model_distilbert_bfcr` is a English model originally trained by bfcr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_model_distilbert_bfcr_en_5.2.2_3.0_1704049835208.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_model_distilbert_bfcr_en_5.2.2_3.0_1704049835208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_model_distilbert_bfcr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twitter_sentiment_model_distilbert_bfcr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twitter_sentiment_model_distilbert_bfcr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bfcr/twitter-sentiment-model-distilbert \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-twittersentimentv1_en.md b/docs/_posts/ahmedlone127/2023-12-31-twittersentimentv1_en.md new file mode 100644 index 0000000000000..6ea7b9b63a598 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-twittersentimentv1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twittersentimentv1 DistilBertForSequenceClassification from cogitosum84 +author: John Snow Labs +name: twittersentimentv1 +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twittersentimentv1` is a English model originally trained by cogitosum84. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twittersentimentv1_en_5.2.2_3.0_1704055231994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twittersentimentv1_en_5.2.2_3.0_1704055231994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twittersentimentv1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cogitosum84/twittersentimentv1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_3000_samples_en.md new file mode 100644 index 0000000000000..af5324760a52a --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English v1_finetuning_sentiment_model_3000_samples DistilBertForSequenceClassification from rod16 +author: John Snow Labs +name: v1_finetuning_sentiment_model_3000_samples +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`v1_finetuning_sentiment_model_3000_samples` is a English model originally trained by rod16. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/v1_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1704050479127.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/v1_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1704050479127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_finetuning_sentiment_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_finetuning_sentiment_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|v1_finetuning_sentiment_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rod16/v1_finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_news_samples_en.md b/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_news_samples_en.md new file mode 100644 index 0000000000000..224fc7a521f9c --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-v1_finetuning_sentiment_model_news_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English v1_finetuning_sentiment_model_news_samples DistilBertForSequenceClassification from rod16 +author: John Snow Labs +name: v1_finetuning_sentiment_model_news_samples +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`v1_finetuning_sentiment_model_news_samples` is a English model originally trained by rod16. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/v1_finetuning_sentiment_model_news_samples_en_5.2.2_3.0_1703983528462.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/v1_finetuning_sentiment_model_news_samples_en_5.2.2_3.0_1703983528462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_finetuning_sentiment_model_news_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_finetuning_sentiment_model_news_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|v1_finetuning_sentiment_model_news_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rod16/v1_finetuning-sentiment-model-news-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-v1_vikramrn_en.md b/docs/_posts/ahmedlone127/2023-12-31-v1_vikramrn_en.md new file mode 100644 index 0000000000000..5858622726b0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-v1_vikramrn_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English v1_vikramrn DistilBertForSequenceClassification from vikramrn +author: John Snow Labs +name: v1_vikramrn +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`v1_vikramrn` is a English model originally trained by vikramrn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/v1_vikramrn_en_5.2.2_3.0_1704047171427.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/v1_vikramrn_en_5.2.2_3.0_1704047171427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_vikramrn","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("v1_vikramrn","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|v1_vikramrn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vikramrn/v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2023-12-31-ysda_malayalam_2_hw_5_model_en.md b/docs/_posts/ahmedlone127/2023-12-31-ysda_malayalam_2_hw_5_model_en.md new file mode 100644 index 0000000000000..d6b34e1083c52 --- /dev/null +++ b/docs/_posts/ahmedlone127/2023-12-31-ysda_malayalam_2_hw_5_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ysda_malayalam_2_hw_5_model DistilBertForSequenceClassification from tolber01 +author: John Snow Labs +name: ysda_malayalam_2_hw_5_model +date: 2023-12-31 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ysda_malayalam_2_hw_5_model` is a English model originally trained by tolber01. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ysda_malayalam_2_hw_5_model_en_5.2.2_3.0_1703993411411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ysda_malayalam_2_hw_5_model_en_5.2.2_3.0_1703993411411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ysda_malayalam_2_hw_5_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ysda_malayalam_2_hw_5_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ysda_malayalam_2_hw_5_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.8 MB| + +## References + +https://huggingface.co/tolber01/ysda_ml_2_hw_5_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-action_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-action_model_en.md new file mode 100644 index 0000000000000..f5bc05e824ca1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-action_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English action_model DistilBertForSequenceClassification from SergeyTW +author: John Snow Labs +name: action_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`action_model` is a English model originally trained by SergeyTW. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_model_en_5.2.2_3.0_1704070543545.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_model_en_5.2.2_3.0_1704070543545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("action_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("action_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|action_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SergeyTW/action_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert0_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert0_en.md new file mode 100644 index 0000000000000..7c120d8653ca0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert0 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert0 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert0` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert0_en_5.2.2_3.0_1704082685858.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert0_en_5.2.2_3.0_1704082685858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert0 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert18_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert18_en.md new file mode 100644 index 0000000000000..2cdee081cb2ff --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert18_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert18 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert18 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert18` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert18_en_5.2.2_3.0_1704083381820.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert18_en_5.2.2_3.0_1704083381820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert18","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert18","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert18| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert18 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert1_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert1_en.md new file mode 100644 index 0000000000000..26c32a351f7b4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert1 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert1 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert1` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert1_en_5.2.2_3.0_1704077170771.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert1_en_5.2.2_3.0_1704077170771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert25_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert25_en.md new file mode 100644 index 0000000000000..34f0194d2ee0b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert25_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert25 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert25 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert25` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert25_en_5.2.2_3.0_1704080945460.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert25_en_5.2.2_3.0_1704080945460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert25","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert25","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert25| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert25 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert27_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert27_en.md new file mode 100644 index 0000000000000..f767e2aeba3bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert27_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert27 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert27 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert27` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert27_en_5.2.2_3.0_1704070882460.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert27_en_5.2.2_3.0_1704070882460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert27","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert27","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert27| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert27 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert28_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert28_en.md new file mode 100644 index 0000000000000..12ba813fc2d24 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert28_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert28 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert28 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert28` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert28_en_5.2.2_3.0_1704089991575.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert28_en_5.2.2_3.0_1704089991575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert28","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert28","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert28| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert28 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert29_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert29_en.md new file mode 100644 index 0000000000000..0e9c0c901c6cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert29_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert29 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert29 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert29` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert29_en_5.2.2_3.0_1704087917930.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert29_en_5.2.2_3.0_1704087917930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert29","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert29","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert29| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert29 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert32_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert32_en.md new file mode 100644 index 0000000000000..73ac9e2c0b078 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert32_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert32 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert32 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert32` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert32_en_5.2.2_3.0_1704094867569.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert32_en_5.2.2_3.0_1704094867569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert32","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert32","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert32| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert32 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert40_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert40_en.md new file mode 100644 index 0000000000000..6c033c248b1fc --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert40_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert40 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert40 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert40` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert40_en_5.2.2_3.0_1704073654002.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert40_en_5.2.2_3.0_1704073654002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert40","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert40","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert40| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert40 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert42_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert42_en.md new file mode 100644 index 0000000000000..481e064bc51d3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert42_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert42 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert42 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert42` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert42_en_5.2.2_3.0_1704086999515.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert42_en_5.2.2_3.0_1704086999515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert42","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert42","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert42| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert42 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert44_en.md b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert44_en.md new file mode 100644 index 0000000000000..08109fd139391 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-ad_distilbert44_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English ad_distilbert44 DistilBertForSequenceClassification from tombellens +author: John Snow Labs +name: ad_distilbert44 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_distilbert44` is a English model originally trained by tombellens. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_distilbert44_en_5.2.2_3.0_1704079887785.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_distilbert44_en_5.2.2_3.0_1704079887785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert44","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("ad_distilbert44","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|ad_distilbert44| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/tombellens/AD-distilBert44 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-afx_grouping_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-afx_grouping_model_en.md new file mode 100644 index 0000000000000..15f982924f980 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-afx_grouping_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English afx_grouping_model DistilBertForSequenceClassification from nikinetrahutama +author: John Snow Labs +name: afx_grouping_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afx_grouping_model` is a English model originally trained by nikinetrahutama. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afx_grouping_model_en_5.2.2_3.0_1704095879857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afx_grouping_model_en_5.2.2_3.0_1704095879857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("afx_grouping_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("afx_grouping_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|afx_grouping_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/nikinetrahutama/afx-grouping-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-bert_model_91_class_en.md b/docs/_posts/ahmedlone127/2024-01-01-bert_model_91_class_en.md new file mode 100644 index 0000000000000..5af67fa51cbb9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-bert_model_91_class_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English bert_model_91_class DistilBertForSequenceClassification from MoumitaNettoJanaManna +author: John Snow Labs +name: bert_model_91_class +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_91_class` is a English model originally trained by MoumitaNettoJanaManna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_91_class_en_5.2.2_3.0_1704074448973.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_91_class_en_5.2.2_3.0_1704074448973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_91_class","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("bert_model_91_class","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bert_model_91_class| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.7 MB| + +## References + +https://huggingface.co/MoumitaNettoJanaManna/bert_model_91_class \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_ataylor_sweet_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_ataylor_sweet_en.md new file mode 100644 index 0000000000000..c0e59de8a061d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_ataylor_sweet_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_ataylor_sweet DistilBertForSequenceClassification from ataylor-sweet +author: John Snow Labs +name: burmese_awesome_model_ataylor_sweet +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ataylor_sweet` is a English model originally trained by ataylor-sweet. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ataylor_sweet_en_5.2.2_3.0_1704092079112.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ataylor_sweet_en_5.2.2_3.0_1704092079112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ataylor_sweet","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_ataylor_sweet","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_ataylor_sweet| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ataylor-sweet/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brecon_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brecon_en.md new file mode 100644 index 0000000000000..a58a912a2e4d2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brecon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_brecon DistilBertForSequenceClassification from Brecon +author: John Snow Labs +name: burmese_awesome_model_brecon +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_brecon` is a English model originally trained by Brecon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_brecon_en_5.2.2_3.0_1704094482003.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_brecon_en_5.2.2_3.0_1704094482003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_brecon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_brecon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_brecon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Brecon/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brey31_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brey31_en.md new file mode 100644 index 0000000000000..6b0f279ce6401 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_brey31_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_brey31 DistilBertForSequenceClassification from brey31 +author: John Snow Labs +name: burmese_awesome_model_brey31 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_brey31` is a English model originally trained by brey31. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_brey31_en_5.2.2_3.0_1704080685492.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_brey31_en_5.2.2_3.0_1704080685492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_brey31","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_brey31","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_brey31| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/brey31/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_clstdew_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_clstdew_en.md new file mode 100644 index 0000000000000..88a7b8a6ee6b6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_clstdew_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_clstdew DistilBertForSequenceClassification from clstdew +author: John Snow Labs +name: burmese_awesome_model_clstdew +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_clstdew` is a English model originally trained by clstdew. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_clstdew_en_5.2.2_3.0_1704093762457.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_clstdew_en_5.2.2_3.0_1704093762457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_clstdew","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_clstdew","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_clstdew| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/clstdew/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_definite_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_definite_en.md new file mode 100644 index 0000000000000..fba7747ad148a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_definite_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_definite DistilBertForSequenceClassification from Definite +author: John Snow Labs +name: burmese_awesome_model_definite +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_definite` is a English model originally trained by Definite. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_definite_en_5.2.2_3.0_1704068206391.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_definite_en_5.2.2_3.0_1704068206391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_definite","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_definite","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_definite| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Definite/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_marktaylor_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_marktaylor_en.md new file mode 100644 index 0000000000000..c6cbaa6d2eb2d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_marktaylor_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_marktaylor DistilBertForSequenceClassification from MarkTaylor +author: John Snow Labs +name: burmese_awesome_model_marktaylor +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_marktaylor` is a English model originally trained by MarkTaylor. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_marktaylor_en_5.2.2_3.0_1704071878626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_marktaylor_en_5.2.2_3.0_1704071878626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_marktaylor","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_marktaylor","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_marktaylor| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|510.7 MB| + +## References + +https://huggingface.co/MarkTaylor/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_masanak_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_masanak_en.md new file mode 100644 index 0000000000000..189a2f3eeec2b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_masanak_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_masanak DistilBertForSequenceClassification from MasanaK +author: John Snow Labs +name: burmese_awesome_model_masanak +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_masanak` is a English model originally trained by MasanaK. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_masanak_en_5.2.2_3.0_1704089383840.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_masanak_en_5.2.2_3.0_1704089383840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_masanak","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_masanak","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_masanak| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MasanaK/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_nanhuggingface_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_nanhuggingface_en.md new file mode 100644 index 0000000000000..61b54ebcbf9d8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_nanhuggingface_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_nanhuggingface DistilBertForSequenceClassification from NanHuggingFace +author: John Snow Labs +name: burmese_awesome_model_nanhuggingface +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_nanhuggingface` is a English model originally trained by NanHuggingFace. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nanhuggingface_en_5.2.2_3.0_1704090431543.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nanhuggingface_en_5.2.2_3.0_1704090431543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nanhuggingface","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_nanhuggingface","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_nanhuggingface| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/NanHuggingFace/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_naveengarlapati_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_naveengarlapati_en.md new file mode 100644 index 0000000000000..54c17cc94e569 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_naveengarlapati_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_naveengarlapati DistilBertForSequenceClassification from naveengarlapati +author: John Snow Labs +name: burmese_awesome_model_naveengarlapati +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_naveengarlapati` is a English model originally trained by naveengarlapati. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_naveengarlapati_en_5.2.2_3.0_1704071738605.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_naveengarlapati_en_5.2.2_3.0_1704071738605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_naveengarlapati","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_naveengarlapati","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_naveengarlapati| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/naveengarlapati/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pankaj10034_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pankaj10034_en.md new file mode 100644 index 0000000000000..6df0388472846 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pankaj10034_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pankaj10034 DistilBertForSequenceClassification from pankaj10034 +author: John Snow Labs +name: burmese_awesome_model_pankaj10034 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pankaj10034` is a English model originally trained by pankaj10034. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pankaj10034_en_5.2.2_3.0_1704089995733.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pankaj10034_en_5.2.2_3.0_1704089995733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pankaj10034","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pankaj10034","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pankaj10034| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/pankaj10034/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_parasjain_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_parasjain_en.md new file mode 100644 index 0000000000000..ef7ad34bdd826 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_parasjain_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_parasjain DistilBertForSequenceClassification from parasjain +author: John Snow Labs +name: burmese_awesome_model_parasjain +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_parasjain` is a English model originally trained by parasjain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_parasjain_en_5.2.2_3.0_1704095210449.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_parasjain_en_5.2.2_3.0_1704095210449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_parasjain","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_parasjain","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_parasjain| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/parasjain/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pierre_sylvain_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pierre_sylvain_en.md new file mode 100644 index 0000000000000..40a498f7209b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_pierre_sylvain_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_pierre_sylvain DistilBertForSequenceClassification from Pierre-Sylvain +author: John Snow Labs +name: burmese_awesome_model_pierre_sylvain +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pierre_sylvain` is a English model originally trained by Pierre-Sylvain. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pierre_sylvain_en_5.2.2_3.0_1704094477778.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pierre_sylvain_en_5.2.2_3.0_1704094477778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pierre_sylvain","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_pierre_sylvain","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_pierre_sylvain| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Pierre-Sylvain/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_prashant_karwasra_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_prashant_karwasra_en.md new file mode 100644 index 0000000000000..98a155856b112 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_prashant_karwasra_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_prashant_karwasra DistilBertForSequenceClassification from Prashant-karwasra +author: John Snow Labs +name: burmese_awesome_model_prashant_karwasra +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_prashant_karwasra` is a English model originally trained by Prashant-karwasra. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prashant_karwasra_en_5.2.2_3.0_1704093392730.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prashant_karwasra_en_5.2.2_3.0_1704093392730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_prashant_karwasra","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_prashant_karwasra","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_prashant_karwasra| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/Prashant-karwasra/my-awesome-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_saidur49_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_saidur49_en.md new file mode 100644 index 0000000000000..e41788ace9fdf --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_saidur49_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_saidur49 DistilBertForSequenceClassification from Saidur49 +author: John Snow Labs +name: burmese_awesome_model_saidur49 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_saidur49` is a English model originally trained by Saidur49. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_saidur49_en_5.2.2_3.0_1704068443842.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_saidur49_en_5.2.2_3.0_1704068443842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_saidur49","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_saidur49","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_saidur49| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Saidur49/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_wen_hsuan_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_wen_hsuan_en.md new file mode 100644 index 0000000000000..8aa81e2c67827 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_awesome_model_wen_hsuan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_awesome_model_wen_hsuan DistilBertForSequenceClassification from wen-hsuan +author: John Snow Labs +name: burmese_awesome_model_wen_hsuan +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_wen_hsuan` is a English model originally trained by wen-hsuan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wen_hsuan_en_5.2.2_3.0_1704082735124.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wen_hsuan_en_5.2.2_3.0_1704082735124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wen_hsuan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_awesome_model_wen_hsuan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_awesome_model_wen_hsuan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wen-hsuan/my_awesome_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_model_dradamskelton_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_model_dradamskelton_en.md new file mode 100644 index 0000000000000..a3dfbc9917aa9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_model_dradamskelton_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_model_dradamskelton DistilBertForSequenceClassification from dradamskelton +author: John Snow Labs +name: burmese_model_dradamskelton +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_dradamskelton` is a English model originally trained by dradamskelton. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_dradamskelton_en_5.2.2_3.0_1704093016998.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_dradamskelton_en_5.2.2_3.0_1704093016998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_dradamskelton","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_dradamskelton","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_model_dradamskelton| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/dradamskelton/my_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_model_zary0_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_model_zary0_en.md new file mode 100644 index 0000000000000..f8bbaa992aaee --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_model_zary0_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_model_zary0 DistilBertForSequenceClassification from zary0 +author: John Snow Labs +name: burmese_model_zary0 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_zary0` is a English model originally trained by zary0. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_zary0_en_5.2.2_3.0_1704083357309.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_zary0_en_5.2.2_3.0_1704083357309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_zary0","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_model_zary0","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_model_zary0| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.2 MB| + +## References + +https://huggingface.co/zary0/my_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-burmese_nepal_bhasa_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-burmese_nepal_bhasa_model_en.md new file mode 100644 index 0000000000000..8194a4c20fa4f --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-burmese_nepal_bhasa_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English burmese_nepal_bhasa_model DistilBertForSequenceClassification from CohleM +author: John Snow Labs +name: burmese_nepal_bhasa_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_nepal_bhasa_model` is a English model originally trained by CohleM. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_nepal_bhasa_model_en_5.2.2_3.0_1704095329411.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_nepal_bhasa_model_en_5.2.2_3.0_1704095329411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_nepal_bhasa_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("burmese_nepal_bhasa_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|burmese_nepal_bhasa_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/CohleM/my_new_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_en.md b/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_en.md new file mode 100644 index 0000000000000..b38d28a71d853 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cyberbully_test DistilBertForSequenceClassification from vmarklynn +author: John Snow Labs +name: cyberbully_test +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyberbully_test` is a English model originally trained by vmarklynn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyberbully_test_en_5.2.2_3.0_1704078943677.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyberbully_test_en_5.2.2_3.0_1704078943677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cyberbully_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cyberbully_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cyberbully_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vmarklynn/cyberbully_test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_recall_v1_en.md b/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_recall_v1_en.md new file mode 100644 index 0000000000000..37d1ab43cc02b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-cyberbully_test_recall_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English cyberbully_test_recall_v1 DistilBertForSequenceClassification from vmarklynn +author: John Snow Labs +name: cyberbully_test_recall_v1 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyberbully_test_recall_v1` is a English model originally trained by vmarklynn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyberbully_test_recall_v1_en_5.2.2_3.0_1704068978786.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyberbully_test_recall_v1_en_5.2.2_3.0_1704068978786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("cyberbully_test_recall_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("cyberbully_test_recall_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|cyberbully_test_recall_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/vmarklynn/cyberbully_test_recall_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-demo_classification_en.md b/docs/_posts/ahmedlone127/2024-01-01-demo_classification_en.md new file mode 100644 index 0000000000000..8f08a44c6229c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-demo_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English demo_classification DistilBertForSequenceClassification from ksgr5566 +author: John Snow Labs +name: demo_classification +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_classification` is a English model originally trained by ksgr5566. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_classification_en_5.2.2_3.0_1704079920721.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_classification_en_5.2.2_3.0_1704079920721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("demo_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|demo_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ksgr5566/demo_classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_1e_64_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_1e_64_en.md new file mode 100644 index 0000000000000..2fe66cc3db046 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_1e_64_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_1e_64 DistilBertForSequenceClassification from Shana4 +author: John Snow Labs +name: distilbert_1e_64 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_1e_64` is a English model originally trained by Shana4. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_1e_64_en_5.2.2_3.0_1704072650903.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_1e_64_en_5.2.2_3.0_1704072650903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_1e_64","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_1e_64","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_1e_64| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shana4/DistilBERT_1E_64 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn_xx.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn_xx.md new file mode 100644 index 0000000000000..2b5e3b368575b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn_xx.md @@ -0,0 +1,97 @@ +--- +layout: model +title: Multilingual distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn DistilBertForSequenceClassification from dfjqwoegn +author: John Snow Labs +name: distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn +date: 2024-01-01 +tags: [bert, xx, open_source, sequence_classification, onnx] +task: Text Classification +language: xx +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn` is a Multilingual model originally trained by dfjqwoegn. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn_xx_5.2.2_3.0_1704076508077.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn_xx_5.2.2_3.0_1704076508077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn","xx")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn","xx") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_multilingual_cased_finetuned_emotion_dfjqwoegn| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|xx| +|Size:|507.7 MB| + +## References + +https://huggingface.co/dfjqwoegn/distilbert-base-multilingual-cased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased13_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased13_en.md new file mode 100644 index 0000000000000..84aef66306e97 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased13_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased13 DistilBertForSequenceClassification from Mahmoud8 +author: John Snow Labs +name: distilbert_base_uncased13 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased13` is a English model originally trained by Mahmoud8. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased13_en_5.2.2_3.0_1704090903506.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased13_en_5.2.2_3.0_1704090903506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased13","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased13","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased13| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Mahmoud8/distilbert-base-uncased13 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotion_ft_0416_qqqq2345_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotion_ft_0416_qqqq2345_en.md new file mode 100644 index 0000000000000..9d56dab0ab3c1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotion_ft_0416_qqqq2345_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotion_ft_0416_qqqq2345 DistilBertForSequenceClassification from qqqq2345 +author: John Snow Labs +name: distilbert_base_uncased_emotion_ft_0416_qqqq2345 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_qqqq2345` is a English model originally trained by qqqq2345. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_qqqq2345_en_5.2.2_3.0_1704088958187.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_qqqq2345_en_5.2.2_3.0_1704088958187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_qqqq2345","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotion_ft_0416_qqqq2345","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotion_ft_0416_qqqq2345| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/qqqq2345/distilbert-base-uncased_emotion_ft_0416 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotions_fintuned_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotions_fintuned_en.md new file mode 100644 index 0000000000000..b81a8fb84465d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_emotions_fintuned_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_emotions_fintuned DistilBertForSequenceClassification from AV10 +author: John Snow Labs +name: distilbert_base_uncased_emotions_fintuned +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotions_fintuned` is a English model originally trained by AV10. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotions_fintuned_en_5.2.2_3.0_1704069026116.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotions_fintuned_en_5.2.2_3.0_1704069026116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotions_fintuned","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_emotions_fintuned","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_emotions_fintuned| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/AV10/distilbert-base-uncased-emotions-fintuned \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_b10902046_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_b10902046_en.md new file mode 100644 index 0000000000000..23926be0beace --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_b10902046_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_b10902046 DistilBertForSequenceClassification from b10902046 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_b10902046 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_b10902046` is a English model originally trained by b10902046. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_b10902046_en_5.2.2_3.0_1704076399763.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_b10902046_en_5.2.2_3.0_1704076399763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_b10902046","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_b10902046","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_b10902046| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/b10902046/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_harris66_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_harris66_en.md new file mode 100644 index 0000000000000..0dd1ecfda741b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_adl_hw1_harris66_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_adl_hw1_harris66 DistilBertForSequenceClassification from harris66 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_adl_hw1_harris66 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_harris66` is a English model originally trained by harris66. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_harris66_en_5.2.2_3.0_1704085009584.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_harris66_en_5.2.2_3.0_1704085009584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_harris66","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_adl_hw1_harris66","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_harris66| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/harris66/distilbert-base-uncased-finetuned-adl_hw1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_aburkard_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_aburkard_en.md new file mode 100644 index 0000000000000..56fcbf3ef9c3b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_aburkard_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_aburkard DistilBertForSequenceClassification from aburkard +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_aburkard +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_aburkard` is a English model originally trained by aburkard. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aburkard_en_5.2.2_3.0_1704076399766.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_aburkard_en_5.2.2_3.0_1704076399766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aburkard","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_aburkard","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_aburkard| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/aburkard/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_anthonytedde_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_anthonytedde_en.md new file mode 100644 index 0000000000000..1b3058aa7e123 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_anthonytedde_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_anthonytedde DistilBertForSequenceClassification from AnthonyTedde +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_anthonytedde +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_anthonytedde` is a English model originally trained by AnthonyTedde. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anthonytedde_en_5.2.2_3.0_1704067345720.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anthonytedde_en_5.2.2_3.0_1704067345720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_anthonytedde","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_anthonytedde","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_anthonytedde| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/AnthonyTedde/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_bikshang_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_bikshang_en.md new file mode 100644 index 0000000000000..3a1887a010ff6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_bikshang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_bikshang DistilBertForSequenceClassification from bikshang +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_bikshang +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bikshang` is a English model originally trained by bikshang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bikshang_en_5.2.2_3.0_1704075527772.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bikshang_en_5.2.2_3.0_1704075527772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_bikshang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_bikshang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_bikshang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/bikshang/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_ll029_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_ll029_en.md new file mode 100644 index 0000000000000..24e6b9f738d64 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_ll029_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_ll029 DistilBertForSequenceClassification from ll029 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_ll029 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ll029` is a English model originally trained by ll029. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ll029_en_5.2.2_3.0_1704086408854.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ll029_en_5.2.2_3.0_1704086408854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ll029","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_ll029","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_ll029| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ll029/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_rangoiv_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_rangoiv_en.md new file mode 100644 index 0000000000000..aee4cadb697f9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_cola_rangoiv_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_cola_rangoiv DistilBertForSequenceClassification from rangoiv +author: John Snow Labs +name: distilbert_base_uncased_finetuned_cola_rangoiv +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rangoiv` is a English model originally trained by rangoiv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rangoiv_en_5.2.2_3.0_1704077935443.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rangoiv_en_5.2.2_3.0_1704077935443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_rangoiv","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_cola_rangoiv","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_cola_rangoiv| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rangoiv/distilbert-base-uncased-finetuned-cola \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_0whany_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_0whany_en.md new file mode 100644 index 0000000000000..7c0ecf1f0a09c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_0whany_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_0whany DistilBertForSequenceClassification from 0Whany +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_0whany +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_0whany` is a English model originally trained by 0Whany. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0whany_en_5.2.2_3.0_1704071201877.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0whany_en_5.2.2_3.0_1704071201877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_0whany","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_0whany","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_0whany| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/0Whany/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_abhishek1061_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_abhishek1061_en.md new file mode 100644 index 0000000000000..3837c41e65802 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_abhishek1061_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_abhishek1061 DistilBertForSequenceClassification from abhiShek1061 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_abhishek1061 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abhishek1061` is a English model originally trained by abhiShek1061. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abhishek1061_en_5.2.2_3.0_1704068122283.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abhishek1061_en_5.2.2_3.0_1704068122283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_abhishek1061","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_abhishek1061","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_abhishek1061| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/abhiShek1061/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_alexmo2615_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_alexmo2615_en.md new file mode 100644 index 0000000000000..2e6e90232fadd --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_alexmo2615_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_alexmo2615 DistilBertForSequenceClassification from alexmo2615 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_alexmo2615 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_alexmo2615` is a English model originally trained by alexmo2615. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexmo2615_en_5.2.2_3.0_1704093392744.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_alexmo2615_en_5.2.2_3.0_1704093392744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexmo2615","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_alexmo2615","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_alexmo2615| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alexmo2615/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_beezbee_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_beezbee_en.md new file mode 100644 index 0000000000000..14111d28d01fa --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_beezbee_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_beezbee DistilBertForSequenceClassification from beezbee +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_beezbee +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_beezbee` is a English model originally trained by beezbee. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_beezbee_en_5.2.2_3.0_1704095593267.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_beezbee_en_5.2.2_3.0_1704095593267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_beezbee","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_beezbee","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_beezbee| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/beezbee/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_boisalai_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_boisalai_en.md new file mode 100644 index 0000000000000..4bf6b8bc87058 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_boisalai_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_boisalai DistilBertForSequenceClassification from boisalai +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_boisalai +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_boisalai` is a English model originally trained by boisalai. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boisalai_en_5.2.2_3.0_1704094867573.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boisalai_en_5.2.2_3.0_1704094867573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_boisalai","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_boisalai","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_boisalai| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/boisalai/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_bunchjesse_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_bunchjesse_en.md new file mode 100644 index 0000000000000..234e1ace9d53e --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_bunchjesse_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_bunchjesse DistilBertForSequenceClassification from bunchjesse +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_bunchjesse +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bunchjesse` is a English model originally trained by bunchjesse. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bunchjesse_en_5.2.2_3.0_1704075211947.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bunchjesse_en_5.2.2_3.0_1704075211947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bunchjesse","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_bunchjesse","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_bunchjesse| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bunchjesse/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_faizanahmad3_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_faizanahmad3_en.md new file mode 100644 index 0000000000000..242791d003fa1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_faizanahmad3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_faizanahmad3 DistilBertForSequenceClassification from faizanahmad3 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_faizanahmad3 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_faizanahmad3` is a English model originally trained by faizanahmad3. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_faizanahmad3_en_5.2.2_3.0_1704073803143.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_faizanahmad3_en_5.2.2_3.0_1704073803143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_faizanahmad3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_faizanahmad3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_faizanahmad3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/faizanahmad3/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_farah117_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_farah117_en.md new file mode 100644 index 0000000000000..7f1f22f404812 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_farah117_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_farah117 DistilBertForSequenceClassification from Farah117 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_farah117 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_farah117` is a English model originally trained by Farah117. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farah117_en_5.2.2_3.0_1704091617393.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farah117_en_5.2.2_3.0_1704091617393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_farah117","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_farah117","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_farah117| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Farah117/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jeronimojr_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jeronimojr_en.md new file mode 100644 index 0000000000000..1dadb4d472db6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jeronimojr_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jeronimojr DistilBertForSequenceClassification from jeronimojr +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jeronimojr +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jeronimojr` is a English model originally trained by jeronimojr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeronimojr_en_5.2.2_3.0_1704078797446.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeronimojr_en_5.2.2_3.0_1704078797446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jeronimojr","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jeronimojr","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jeronimojr| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jeronimojr/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jet2157_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jet2157_en.md new file mode 100644 index 0000000000000..5cf6f589ffdf4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_jet2157_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_jet2157 DistilBertForSequenceClassification from jet2157 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_jet2157 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jet2157` is a English model originally trained by jet2157. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jet2157_en_5.2.2_3.0_1704087149550.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jet2157_en_5.2.2_3.0_1704087149550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jet2157","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_jet2157","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_jet2157| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jet2157/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_junek_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_junek_en.md new file mode 100644 index 0000000000000..0e4b7dadbc7c0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_junek_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_junek DistilBertForSequenceClassification from Junek +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_junek +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_junek` is a English model originally trained by Junek. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junek_en_5.2.2_3.0_1704092692318.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_junek_en_5.2.2_3.0_1704092692318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junek","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_junek","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_junek| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Junek/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kiechu_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kiechu_en.md new file mode 100644 index 0000000000000..262d973a0eb41 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kiechu_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kiechu DistilBertForSequenceClassification from kiechu +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kiechu +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kiechu` is a English model originally trained by kiechu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kiechu_en_5.2.2_3.0_1704072723316.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kiechu_en_5.2.2_3.0_1704072723316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kiechu","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kiechu","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kiechu| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kiechu/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kumarguptajit_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kumarguptajit_en.md new file mode 100644 index 0000000000000..f17fe53c343ed --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_kumarguptajit_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_kumarguptajit DistilBertForSequenceClassification from kumarguptajit +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_kumarguptajit +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kumarguptajit` is a English model originally trained by kumarguptajit. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kumarguptajit_en_5.2.2_3.0_1704082190008.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kumarguptajit_en_5.2.2_3.0_1704082190008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kumarguptajit","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_kumarguptajit","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_kumarguptajit| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kumarguptajit/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_lhybio07_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_lhybio07_en.md new file mode 100644 index 0000000000000..ad9c5ed78a9ee --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_lhybio07_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_lhybio07 DistilBertForSequenceClassification from lhybio07 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_lhybio07 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lhybio07` is a English model originally trained by lhybio07. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lhybio07_en_5.2.2_3.0_1704076016929.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lhybio07_en_5.2.2_3.0_1704076016929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lhybio07","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_lhybio07","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_lhybio07| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/lhybio07/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_makaniski_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_makaniski_en.md new file mode 100644 index 0000000000000..02c3178e61291 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_makaniski_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_makaniski DistilBertForSequenceClassification from makaniski +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_makaniski +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_makaniski` is a English model originally trained by makaniski. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_makaniski_en_5.2.2_3.0_1704083403211.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_makaniski_en_5.2.2_3.0_1704083403211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_makaniski","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_makaniski","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_makaniski| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/makaniski/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_mankit011_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_mankit011_en.md new file mode 100644 index 0000000000000..6273b1b1bad1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_mankit011_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_mankit011 DistilBertForSequenceClassification from mankit011 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_mankit011 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mankit011` is a English model originally trained by mankit011. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mankit011_en_5.2.2_3.0_1704079884751.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mankit011_en_5.2.2_3.0_1704079884751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mankit011","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_mankit011","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_mankit011| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mankit011/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_maroshimi_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_maroshimi_en.md new file mode 100644 index 0000000000000..b2f7b4a3898b0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_maroshimi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_maroshimi DistilBertForSequenceClassification from Maroshimi +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_maroshimi +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maroshimi` is a English model originally trained by Maroshimi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maroshimi_en_5.2.2_3.0_1704083516494.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maroshimi_en_5.2.2_3.0_1704083516494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maroshimi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_maroshimi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_maroshimi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Maroshimi/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_okaditya84_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_okaditya84_en.md new file mode 100644 index 0000000000000..2d50158e32142 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_okaditya84_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_okaditya84 DistilBertForSequenceClassification from okaditya84 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_okaditya84 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_okaditya84` is a English model originally trained by okaditya84. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okaditya84_en_5.2.2_3.0_1704081793453.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okaditya84_en_5.2.2_3.0_1704081793453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_okaditya84","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_okaditya84","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_okaditya84| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/okaditya84/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skippers_guitar_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skippers_guitar_en.md new file mode 100644 index 0000000000000..bcd8f5f459eac --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skippers_guitar_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_skippers_guitar DistilBertForSequenceClassification from skippers-guitar +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_skippers_guitar +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skippers_guitar` is a English model originally trained by skippers-guitar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skippers_guitar_en_5.2.2_3.0_1704091266075.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skippers_guitar_en_5.2.2_3.0_1704091266075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skippers_guitar","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skippers_guitar","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_skippers_guitar| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/skippers-guitar/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skyhaoshen_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skyhaoshen_en.md new file mode 100644 index 0000000000000..2c79604260903 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_skyhaoshen_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_skyhaoshen DistilBertForSequenceClassification from skyhaoshen +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_skyhaoshen +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skyhaoshen` is a English model originally trained by skyhaoshen. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skyhaoshen_en_5.2.2_3.0_1704089814341.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skyhaoshen_en_5.2.2_3.0_1704089814341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skyhaoshen","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_skyhaoshen","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_skyhaoshen| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/skyhaoshen/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_tanmay_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_tanmay_en.md new file mode 100644 index 0000000000000..f5f2204394da0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_tanmay_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_tanmay DistilBertForSequenceClassification from garg10may +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_tanmay +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tanmay` is a English model originally trained by garg10may. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tanmay_en_5.2.2_3.0_1704087814546.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tanmay_en_5.2.2_3.0_1704087814546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tanmay","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_tanmay","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_tanmay| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/garg10may/distilbert-base-uncased-finetuned-emotion-tanmay \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_test_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_test_en.md new file mode 100644 index 0000000000000..ac1e5cee0c965 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_test_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_test DistilBertForSequenceClassification from yibinlin +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_test +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_test` is a English model originally trained by yibinlin. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_test_en_5.2.2_3.0_1704069044353.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_test_en_5.2.2_3.0_1704069044353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_test","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_test","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_test| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yibinlin/distilbert-base-uncased-finetuned-emotion-test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_yamitamaya_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_yamitamaya_en.md new file mode 100644 index 0000000000000..c3dd47eed43eb --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_emotion_yamitamaya_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_emotion_yamitamaya DistilBertForSequenceClassification from yamitamaya +author: John Snow Labs +name: distilbert_base_uncased_finetuned_emotion_yamitamaya +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yamitamaya` is a English model originally trained by yamitamaya. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yamitamaya_en_5.2.2_3.0_1704067742030.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yamitamaya_en_5.2.2_3.0_1704067742030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yamitamaya","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_emotion_yamitamaya","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_emotion_yamitamaya| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yamitamaya/distilbert-base-uncased-finetuned-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_chernandezc_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_chernandezc_en.md new file mode 100644 index 0000000000000..b9deea65a0298 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_chernandezc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_items_chernandezc DistilBertForSequenceClassification from chernandezc +author: John Snow Labs +name: distilbert_base_uncased_finetuned_items_chernandezc +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_items_chernandezc` is a English model originally trained by chernandezc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_chernandezc_en_5.2.2_3.0_1704095210482.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_chernandezc_en_5.2.2_3.0_1704095210482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_chernandezc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_chernandezc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_items_chernandezc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/chernandezc/distilbert-base-uncased-finetuned-items \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_ozziejoe_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_ozziejoe_en.md new file mode 100644 index 0000000000000..5225e136251f3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_items_ozziejoe_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_items_ozziejoe DistilBertForSequenceClassification from Ozziejoe +author: John Snow Labs +name: distilbert_base_uncased_finetuned_items_ozziejoe +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_items_ozziejoe` is a English model originally trained by Ozziejoe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_ozziejoe_en_5.2.2_3.0_1704078676467.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_items_ozziejoe_en_5.2.2_3.0_1704078676467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_ozziejoe","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_items_ozziejoe","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_items_ozziejoe| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Ozziejoe/distilbert-base-uncased-finetuned-items \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_mnli_ll029_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_mnli_ll029_en.md new file mode 100644 index 0000000000000..3246dbc050a23 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_finetuned_mnli_ll029_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_finetuned_mnli_ll029 DistilBertForSequenceClassification from ll029 +author: John Snow Labs +name: distilbert_base_uncased_finetuned_mnli_ll029 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mnli_ll029` is a English model originally trained by ll029. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_ll029_en_5.2.2_3.0_1704071969782.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_ll029_en_5.2.2_3.0_1704071969782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mnli_ll029","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_finetuned_mnli_ll029","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_finetuned_mnli_ll029| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ll029/distilbert-base-uncased-finetuned-mnli \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb002_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb002_en.md new file mode 100644 index 0000000000000..2a88aa3b8aaee --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb002_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_on_imdb002 DistilBertForSequenceClassification from cmpltrtok +author: John Snow Labs +name: distilbert_base_uncased_on_imdb002 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_on_imdb002` is a English model originally trained by cmpltrtok. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb002_en_5.2.2_3.0_1704067742009.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb002_en_5.2.2_3.0_1704067742009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb002","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb002","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_on_imdb002| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cmpltrtok/distilbert-base-uncased.on.imdb002 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620_en.md new file mode 100644 index 0000000000000..7efb77ec97a10 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620 DistilBertForSequenceClassification from cmpltrtok +author: John Snow Labs +name: distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620` is a English model originally trained by cmpltrtok. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620_en_5.2.2_3.0_1704074538296.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620_en_5.2.2_3.0_1704074538296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_base_uncased_on_imdb2023_09_17_16_53_54_730620| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cmpltrtok/distilbert-base-uncased.on.imdb2023_09_17_16_53_54_730620 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_emotion_deustchkinder_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_emotion_deustchkinder_en.md new file mode 100644 index 0000000000000..323f8f14d0b0c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_emotion_deustchkinder_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_emotion_deustchkinder DistilBertForSequenceClassification from deustchkinder +author: John Snow Labs +name: distilbert_emotion_deustchkinder +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_deustchkinder` is a English model originally trained by deustchkinder. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_deustchkinder_en_5.2.2_3.0_1704091247761.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_deustchkinder_en_5.2.2_3.0_1704091247761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_deustchkinder","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_emotion_deustchkinder","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_emotion_deustchkinder| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/deustchkinder/distilbert-emotion \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_mergeddata_with_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_mergeddata_with_preprocessing_grid_search_en.md new file mode 100644 index 0000000000000..c2f6b8369965d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_mergeddata_with_preprocessing_grid_search_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_mergeddata_with_preprocessing_grid_search DistilBertForSequenceClassification from LovenOO +author: John Snow Labs +name: distilbert_mergeddata_with_preprocessing_grid_search +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mergeddata_with_preprocessing_grid_search` is a English model originally trained by LovenOO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mergeddata_with_preprocessing_grid_search_en_5.2.2_3.0_1704068975763.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mergeddata_with_preprocessing_grid_search_en_5.2.2_3.0_1704068975763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_mergeddata_with_preprocessing_grid_search","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_mergeddata_with_preprocessing_grid_search","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_mergeddata_with_preprocessing_grid_search| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LovenOO/distilBERT_mergeddata_with_preprocessing_grid_search \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_105_class_v2_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_105_class_v2_en.md new file mode 100644 index 0000000000000..dca3471eaf942 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_105_class_v2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_model_105_class_v2 DistilBertForSequenceClassification from MoumitaNettoJanaManna +author: John Snow Labs +name: distilbert_model_105_class_v2 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_model_105_class_v2` is a English model originally trained by MoumitaNettoJanaManna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_model_105_class_v2_en_5.2.2_3.0_1704073411628.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_model_105_class_v2_en_5.2.2_3.0_1704073411628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_105_class_v2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_105_class_v2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_model_105_class_v2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.8 MB| + +## References + +https://huggingface.co/MoumitaNettoJanaManna/distilbert_model_105_class_v2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_3_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_3_en.md new file mode 100644 index 0000000000000..c2eb7bbc4382d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_3_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_model_173_class_v1_3 DistilBertForSequenceClassification from MoumitaNettoJanaManna +author: John Snow Labs +name: distilbert_model_173_class_v1_3 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_model_173_class_v1_3` is a English model originally trained by MoumitaNettoJanaManna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_model_173_class_v1_3_en_5.2.2_3.0_1704096371676.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_model_173_class_v1_3_en_5.2.2_3.0_1704096371676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_173_class_v1_3","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_173_class_v1_3","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_model_173_class_v1_3| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|250.0 MB| + +## References + +https://huggingface.co/MoumitaNettoJanaManna/distilbert_model_173_class_v1_3 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_en.md new file mode 100644 index 0000000000000..fc0d1d4e8da83 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_model_173_class_v1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_model_173_class_v1 DistilBertForSequenceClassification from MoumitaNettoJanaManna +author: John Snow Labs +name: distilbert_model_173_class_v1 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_model_173_class_v1` is a English model originally trained by MoumitaNettoJanaManna. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_model_173_class_v1_en_5.2.2_3.0_1704093156593.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_model_173_class_v1_en_5.2.2_3.0_1704093156593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_173_class_v1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_model_173_class_v1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_model_173_class_v1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.9 MB| + +## References + +https://huggingface.co/MoumitaNettoJanaManna/distilbert_model_173_class_v1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-distilbert_with_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2024-01-01-distilbert_with_preprocessing_grid_search_en.md new file mode 100644 index 0000000000000..c1c6256e25cbe --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-distilbert_with_preprocessing_grid_search_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English distilbert_with_preprocessing_grid_search DistilBertForSequenceClassification from LovenOO +author: John Snow Labs +name: distilbert_with_preprocessing_grid_search +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_with_preprocessing_grid_search` is a English model originally trained by LovenOO. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_with_preprocessing_grid_search_en_5.2.2_3.0_1704084240983.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_with_preprocessing_grid_search_en_5.2.2_3.0_1704084240983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_with_preprocessing_grid_search","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("distilbert_with_preprocessing_grid_search","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|distilbert_with_preprocessing_grid_search| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/LovenOO/distilBERT_with_preprocessing_grid_search \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-eliminare_en.md b/docs/_posts/ahmedlone127/2024-01-01-eliminare_en.md new file mode 100644 index 0000000000000..f605e1dc01bf4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-eliminare_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English eliminare DistilBertForSequenceClassification from Kamer +author: John Snow Labs +name: eliminare +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eliminare` is a English model originally trained by Kamer. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eliminare_en_5.2.2_3.0_1704094601258.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eliminare_en_5.2.2_3.0_1704094601258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("eliminare","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("eliminare","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|eliminare| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Kamer/eliminare \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-emotion_model_biadd_en.md b/docs/_posts/ahmedlone127/2024-01-01-emotion_model_biadd_en.md new file mode 100644 index 0000000000000..e2d89050cb695 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-emotion_model_biadd_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English emotion_model_biadd DistilBertForSequenceClassification from BiaDd +author: John Snow Labs +name: emotion_model_biadd +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_model_biadd` is a English model originally trained by BiaDd. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_model_biadd_en_5.2.2_3.0_1704072723322.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_model_biadd_en_5.2.2_3.0_1704072723322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_model_biadd","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("emotion_model_biadd","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|emotion_model_biadd| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/BiaDd/emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuned_classifier_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuned_classifier_en.md new file mode 100644 index 0000000000000..b42e7c2317209 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuned_classifier_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuned_classifier DistilBertForSequenceClassification from Sidharthan +author: John Snow Labs +name: finetuned_classifier +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_classifier` is a English model originally trained by Sidharthan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_classifier_en_5.2.2_3.0_1704088959490.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_classifier_en_5.2.2_3.0_1704088959490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_classifier","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuned_classifier","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuned_classifier| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sidharthan/finetuned-classifier \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_emotion_model_kp94_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_emotion_model_kp94_en.md new file mode 100644 index 0000000000000..ddcb98a08983f --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_emotion_model_kp94_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_emotion_model_kp94 DistilBertForSequenceClassification from kp94 +author: John Snow Labs +name: finetuning_emotion_model_kp94 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_kp94` is a English model originally trained by kp94. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_kp94_en_5.2.2_3.0_1704074199666.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_kp94_en_5.2.2_3.0_1704074199666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_kp94","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_emotion_model_kp94","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_emotion_model_kp94| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/kp94/finetuning-emotion-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_samples_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_samples_en.md new file mode 100644 index 0000000000000..5e4bdd5ab7275 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_samples DistilBertForSequenceClassification from AreejJBR +author: John Snow Labs +name: finetuning_samples +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_samples` is a English model originally trained by AreejJBR. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_samples_en_5.2.2_3.0_1704085504861.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_samples_en_5.2.2_3.0_1704085504861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/AreejJBR/finetuning_samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_25000_samples_zwmc_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_25000_samples_zwmc_en.md new file mode 100644 index 0000000000000..1d90f31bf4924 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_25000_samples_zwmc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_25000_samples_zwmc DistilBertForSequenceClassification from zwmc +author: John Snow Labs +name: finetuning_sentiment_model_25000_samples_zwmc +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_25000_samples_zwmc` is a English model originally trained by zwmc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_zwmc_en_5.2.2_3.0_1704085374810.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_zwmc_en_5.2.2_3.0_1704085374810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_25000_samples_zwmc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_25000_samples_zwmc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_25000_samples_zwmc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/zwmc/finetuning-sentiment-model-25000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_2500_samples_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_2500_samples_en.md new file mode 100644 index 0000000000000..cf96c88ac8f43 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_2500_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_2500_samples DistilBertForSequenceClassification from fisherkuan +author: John Snow Labs +name: finetuning_sentiment_model_2500_samples +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_2500_samples` is a English model originally trained by fisherkuan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_2500_samples_en_5.2.2_3.0_1704068981119.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_2500_samples_en_5.2.2_3.0_1704068981119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_2500_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_2500_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_2500_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fisherkuan/finetuning-sentiment-model-2500-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_ali26sami_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_ali26sami_en.md new file mode 100644 index 0000000000000..6c3f2f1304ecc --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_ali26sami_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_ali26sami DistilBertForSequenceClassification from ali26sami +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_ali26sami +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ali26sami` is a English model originally trained by ali26sami. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ali26sami_en_5.2.2_3.0_1704081794919.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ali26sami_en_5.2.2_3.0_1704081794919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ali26sami","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_ali26sami","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_ali26sami| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ali26sami/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_andreac94_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_andreac94_en.md new file mode 100644 index 0000000000000..c6aaa949f6d0d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_andreac94_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_andreac94 DistilBertForSequenceClassification from andreac94 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_andreac94 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_andreac94` is a English model originally trained by andreac94. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andreac94_en_5.2.2_3.0_1704076835567.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_andreac94_en_5.2.2_3.0_1704076835567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andreac94","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_andreac94","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_andreac94| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/andreac94/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_bhoomikajope_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_bhoomikajope_en.md new file mode 100644 index 0000000000000..d5fe87ec3bc7b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_bhoomikajope_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_bhoomikajope DistilBertForSequenceClassification from BhoomikaJoPe +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_bhoomikajope +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bhoomikajope` is a English model originally trained by BhoomikaJoPe. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bhoomikajope_en_5.2.2_3.0_1704082685887.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bhoomikajope_en_5.2.2_3.0_1704082685887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bhoomikajope","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_bhoomikajope","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_bhoomikajope| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/BhoomikaJoPe/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_congcachon_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_congcachon_en.md new file mode 100644 index 0000000000000..0ac061df7ce1f --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_congcachon_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_congcachon DistilBertForSequenceClassification from congcachon +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_congcachon +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_congcachon` is a English model originally trained by congcachon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_congcachon_en_5.2.2_3.0_1704089657722.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_congcachon_en_5.2.2_3.0_1704089657722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_congcachon","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_congcachon","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_congcachon| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/congcachon/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_cp1903md_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_cp1903md_en.md new file mode 100644 index 0000000000000..0d4ac69f02c0a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_cp1903md_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_cp1903md DistilBertForSequenceClassification from cp1903md +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_cp1903md +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cp1903md` is a English model originally trained by cp1903md. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cp1903md_en_5.2.2_3.0_1704082607860.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cp1903md_en_5.2.2_3.0_1704082607860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cp1903md","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_cp1903md","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_cp1903md| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cp1903md/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_danexl_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_danexl_en.md new file mode 100644 index 0000000000000..8f42137d26359 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_danexl_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_danexl DistilBertForSequenceClassification from danexl +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_danexl +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_danexl` is a English model originally trained by danexl. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_danexl_en_5.2.2_3.0_1704077522163.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_danexl_en_5.2.2_3.0_1704077522163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_danexl","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_danexl","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_danexl| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/danexl/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu101202_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu101202_en.md new file mode 100644 index 0000000000000..22ec0c9f85ff4 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu101202_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_harshu101202 DistilBertForSequenceClassification from harshu101202 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_harshu101202 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_harshu101202` is a English model originally trained by harshu101202. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_harshu101202_en_5.2.2_3.0_1704084620092.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_harshu101202_en_5.2.2_3.0_1704084620092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_harshu101202","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_harshu101202","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_harshu101202| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/harshu101202/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu202_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu202_en.md new file mode 100644 index 0000000000000..74bcb9b4a127f --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_harshu202_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_harshu202 DistilBertForSequenceClassification from harshu202 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_harshu202 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_harshu202` is a English model originally trained by harshu202. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_harshu202_en_5.2.2_3.0_1704087865789.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_harshu202_en_5.2.2_3.0_1704087865789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_harshu202","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_harshu202","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_harshu202| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/harshu202/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_marcopc_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_marcopc_en.md new file mode 100644 index 0000000000000..958c784794fac --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_marcopc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_marcopc DistilBertForSequenceClassification from MarcoPC +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_marcopc +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_marcopc` is a English model originally trained by MarcoPC. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_marcopc_en_5.2.2_3.0_1704076016788.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_marcopc_en_5.2.2_3.0_1704076016788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_marcopc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_marcopc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_marcopc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/MarcoPC/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_nirajbagdi_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_nirajbagdi_en.md new file mode 100644 index 0000000000000..8526ce080a21c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_nirajbagdi_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_nirajbagdi DistilBertForSequenceClassification from nirajbagdi +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_nirajbagdi +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nirajbagdi` is a English model originally trained by nirajbagdi. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nirajbagdi_en_5.2.2_3.0_1704067583146.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nirajbagdi_en_5.2.2_3.0_1704067583146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nirajbagdi","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_nirajbagdi","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_nirajbagdi| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/nirajbagdi/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_revash_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_revash_en.md new file mode 100644 index 0000000000000..6089df7886a74 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_revash_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_revash DistilBertForSequenceClassification from revash +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_revash +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_revash` is a English model originally trained by revash. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_revash_en_5.2.2_3.0_1704091904626.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_revash_en_5.2.2_3.0_1704091904626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_revash","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_revash","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_revash| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/revash/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sabaakhavan_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sabaakhavan_en.md new file mode 100644 index 0000000000000..fe4fe49bf4377 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sabaakhavan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sabaakhavan DistilBertForSequenceClassification from Sabaakhavan +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sabaakhavan +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sabaakhavan` is a English model originally trained by Sabaakhavan. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sabaakhavan_en_5.2.2_3.0_1704080684969.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sabaakhavan_en_5.2.2_3.0_1704080684969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sabaakhavan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sabaakhavan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sabaakhavan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Sabaakhavan/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_shivam779_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_shivam779_en.md new file mode 100644 index 0000000000000..8c5fdae57d7b1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_shivam779_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_shivam779 DistilBertForSequenceClassification from Shivam779 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_shivam779 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_shivam779` is a English model originally trained by Shivam779. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shivam779_en_5.2.2_3.0_1704085813178.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shivam779_en_5.2.2_3.0_1704085813178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shivam779","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_shivam779","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_shivam779| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Shivam779/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_slee126_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_slee126_en.md new file mode 100644 index 0000000000000..ceb15b59bb04c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_slee126_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_slee126 DistilBertForSequenceClassification from slee126 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_slee126 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_slee126` is a English model originally trained by slee126. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_slee126_en_5.2.2_3.0_1704084468319.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_slee126_en_5.2.2_3.0_1704084468319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_slee126","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_slee126","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_slee126| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/slee126/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sudhanshu753_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sudhanshu753_en.md new file mode 100644 index 0000000000000..d36db3b387993 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_sudhanshu753_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_sudhanshu753 DistilBertForSequenceClassification from sudhanshu753 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_sudhanshu753 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sudhanshu753` is a English model originally trained by sudhanshu753. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sudhanshu753_en_5.2.2_3.0_1704079208012.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sudhanshu753_en_5.2.2_3.0_1704079208012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sudhanshu753","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_sudhanshu753","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_sudhanshu753| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/sudhanshu753/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_wheat9_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_wheat9_en.md new file mode 100644 index 0000000000000..6021484649a0e --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_3000_samples_wheat9_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_3000_samples_wheat9 DistilBertForSequenceClassification from wheat9 +author: John Snow Labs +name: finetuning_sentiment_model_3000_samples_wheat9 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_wheat9` is a English model originally trained by wheat9. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wheat9_en_5.2.2_3.0_1704074199696.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_wheat9_en_5.2.2_3.0_1704074199696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wheat9","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_3000_samples_wheat9","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_3000_samples_wheat9| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/wheat9/finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_40000_samples_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_40000_samples_en.md new file mode 100644 index 0000000000000..bfd7d01c4f641 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_40000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_40000_samples DistilBertForSequenceClassification from SarthakBhatore +author: John Snow Labs +name: finetuning_sentiment_model_40000_samples +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_40000_samples` is a English model originally trained by SarthakBhatore. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_samples_en_5.2.2_3.0_1704086224075.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_40000_samples_en_5.2.2_3.0_1704086224075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_40000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_40000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_40000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SarthakBhatore/finetuning-sentiment-model-40000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_5000_samples_der_emmanuel_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_5000_samples_der_emmanuel_en.md new file mode 100644 index 0000000000000..e3abd2f387ad0 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_5000_samples_der_emmanuel_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_5000_samples_der_emmanuel DistilBertForSequenceClassification from der-emmanuel +author: John Snow Labs +name: finetuning_sentiment_model_5000_samples_der_emmanuel +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_samples_der_emmanuel` is a English model originally trained by der-emmanuel. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_der_emmanuel_en_5.2.2_3.0_1704093017857.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_samples_der_emmanuel_en_5.2.2_3.0_1704093017857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_der_emmanuel","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_5000_samples_der_emmanuel","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_5000_samples_der_emmanuel| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/der-emmanuel/finetuning-sentiment-model-5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_amazonbaby5000_samples_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_amazonbaby5000_samples_en.md new file mode 100644 index 0000000000000..a1ecbde7faaab --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_amazonbaby5000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_amazonbaby5000_samples DistilBertForSequenceClassification from leFalcon +author: John Snow Labs +name: finetuning_sentiment_model_amazonbaby5000_samples +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_amazonbaby5000_samples` is a English model originally trained by leFalcon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_samples_en_5.2.2_3.0_1704070124365.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_amazonbaby5000_samples_en_5.2.2_3.0_1704070124365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_amazonbaby5000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_amazonbaby5000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/leFalcon/finetuning-sentiment-model-amazonbaby5000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_gsl22_en.md b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_gsl22_en.md new file mode 100644 index 0000000000000..3d2e5532dbd5a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-finetuning_sentiment_model_gsl22_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English finetuning_sentiment_model_gsl22 DistilBertForSequenceClassification from gsl22 +author: John Snow Labs +name: finetuning_sentiment_model_gsl22 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_gsl22` is a English model originally trained by gsl22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_gsl22_en_5.2.2_3.0_1704093761436.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_gsl22_en_5.2.2_3.0_1704093761436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_gsl22","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("finetuning_sentiment_model_gsl22","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|finetuning_sentiment_model_gsl22| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gsl22/finetuning-sentiment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-from_samoan_en.md b/docs/_posts/ahmedlone127/2024-01-01-from_samoan_en.md new file mode 100644 index 0000000000000..b2bf534526f0c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-from_samoan_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English from_samoan DistilBertForSequenceClassification from Suksuma +author: John Snow Labs +name: from_samoan +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`from_samoan` is a English model originally trained by Suksuma. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/from_samoan_en_5.2.2_3.0_1704078261716.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/from_samoan_en_5.2.2_3.0_1704078261716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("from_samoan","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("from_samoan","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|from_samoan| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|507.6 MB| + +## References + +https://huggingface.co/Suksuma/from_sm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-genre_pred_model_reduced_2_epochs_en.md b/docs/_posts/ahmedlone127/2024-01-01-genre_pred_model_reduced_2_epochs_en.md new file mode 100644 index 0000000000000..91307c14ea403 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-genre_pred_model_reduced_2_epochs_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English genre_pred_model_reduced_2_epochs DistilBertForSequenceClassification from matthiasr +author: John Snow Labs +name: genre_pred_model_reduced_2_epochs +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genre_pred_model_reduced_2_epochs` is a English model originally trained by matthiasr. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_2_epochs_en_5.2.2_3.0_1704095593267.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_2_epochs_en_5.2.2_3.0_1704095593267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_reduced_2_epochs","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("genre_pred_model_reduced_2_epochs","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|genre_pred_model_reduced_2_epochs| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.6 MB| + +## References + +https://huggingface.co/matthiasr/genre_pred_model_reduced_2_epochs \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-get_data_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-get_data_model_en.md new file mode 100644 index 0000000000000..d9aec03ba1915 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-get_data_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English get_data_model DistilBertForSequenceClassification from SergeyTW +author: John Snow Labs +name: get_data_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`get_data_model` is a English model originally trained by SergeyTW. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/get_data_model_en_5.2.2_3.0_1704074924766.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/get_data_model_en_5.2.2_3.0_1704074924766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("get_data_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("get_data_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|get_data_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/SergeyTW/get_data_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-good_sentiment_model2_en.md b/docs/_posts/ahmedlone127/2024-01-01-good_sentiment_model2_en.md new file mode 100644 index 0000000000000..ebe2a62fd4009 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-good_sentiment_model2_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English good_sentiment_model2 DistilBertForSequenceClassification from TheJournal +author: John Snow Labs +name: good_sentiment_model2 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`good_sentiment_model2` is a English model originally trained by TheJournal. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/good_sentiment_model2_en_5.2.2_3.0_1704088635657.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/good_sentiment_model2_en_5.2.2_3.0_1704088635657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("good_sentiment_model2","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("good_sentiment_model2","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|good_sentiment_model2| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/TheJournal/good_sentiment_model2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-human_class_oriya_somthing_en.md b/docs/_posts/ahmedlone127/2024-01-01-human_class_oriya_somthing_en.md new file mode 100644 index 0000000000000..9a142e045fc22 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-human_class_oriya_somthing_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English human_class_oriya_somthing DistilBertForSequenceClassification from breadlicker45 +author: John Snow Labs +name: human_class_oriya_somthing +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`human_class_oriya_somthing` is a English model originally trained by breadlicker45. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/human_class_oriya_somthing_en_5.2.2_3.0_1704075527840.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/human_class_oriya_somthing_en_5.2.2_3.0_1704075527840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("human_class_oriya_somthing","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("human_class_oriya_somthing","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|human_class_oriya_somthing| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/breadlicker45/human-class-or-somthing \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdb_test_finetune_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdb_test_finetune_en.md new file mode 100644 index 0000000000000..f11b319360e2c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdb_test_finetune_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdb_test_finetune DistilBertForSequenceClassification from bryanhpchiang +author: John Snow Labs +name: imdb_test_finetune +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_test_finetune` is a English model originally trained by bryanhpchiang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_test_finetune_en_5.2.2_3.0_1704095948752.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_test_finetune_en_5.2.2_3.0_1704095948752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_test_finetune","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdb_test_finetune","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdb_test_finetune| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bryanhpchiang/imdb_test_finetune \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79_en.md new file mode 100644 index 0000000000000..a58535e729b2b --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79 DistilBertForSequenceClassification from giovy79 +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79` is a English model originally trained by giovy79. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79_en_5.2.2_3.0_1704079849130.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79_en_5.2.2_3.0_1704079849130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_giovy79| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/giovy79/imdbreviews_classification_distilbert_v02_clf_finetuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv_en.md new file mode 100644 index 0000000000000..53979b6d6680d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv DistilBertForSequenceClassification from JmGarzonv +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv` is a English model originally trained by JmGarzonv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv_en_5.2.2_3.0_1704081943064.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv_en_5.2.2_3.0_1704081943064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_jmgarzonv| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JmGarzonv/imdbreviews_classification_distilbert_v02_clf_finetuning \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_dfelorza_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_dfelorza_en.md new file mode 100644 index 0000000000000..7a76fadbd39bd --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_dfelorza_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_dfelorza DistilBertForSequenceClassification from dfelorza +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_dfelorza +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_dfelorza` is a English model originally trained by dfelorza. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_dfelorza_en_5.2.2_3.0_1704074542321.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_dfelorza_en_5.2.2_3.0_1704074542321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_dfelorza","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_dfelorza","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_dfelorza| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/dfelorza/imdbreviews_classification_distilbert_v02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_jmgarzonv_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_jmgarzonv_en.md new file mode 100644 index 0000000000000..e69611a023c88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_jmgarzonv_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_jmgarzonv DistilBertForSequenceClassification from JmGarzonv +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_jmgarzonv +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_jmgarzonv` is a English model originally trained by JmGarzonv. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_jmgarzonv_en_5.2.2_3.0_1704094143022.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_jmgarzonv_en_5.2.2_3.0_1704094143022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_jmgarzonv","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_jmgarzonv","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_jmgarzonv| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/JmGarzonv/imdbreviews_classification_distilbert_v02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_laly_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_laly_en.md new file mode 100644 index 0000000000000..a30eefbed03cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v02_laly_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v02_laly DistilBertForSequenceClassification from Laly +author: John Snow Labs +name: imdbreviews_classification_distilbert_v02_laly +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_laly` is a English model originally trained by Laly. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_laly_en_5.2.2_3.0_1704075223657.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_laly_en_5.2.2_3.0_1704075223657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_laly","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v02_laly","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v02_laly| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Laly/imdbreviews_classification_distilbert_v02 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v03_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v03_en.md new file mode 100644 index 0000000000000..5e884d449f476 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v03_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v03 DistilBertForSequenceClassification from goma705 +author: John Snow Labs +name: imdbreviews_classification_distilbert_v03 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v03` is a English model originally trained by goma705. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v03_en_5.2.2_3.0_1704078047144.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v03_en_5.2.2_3.0_1704078047144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v03","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v03","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v03| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/goma705/imdbreviews_classification_distilbert_v03 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v04_finetuned_sst_2_english_en.md b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v04_finetuned_sst_2_english_en.md new file mode 100644 index 0000000000000..93878a0e32361 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-imdbreviews_classification_distilbert_v04_finetuned_sst_2_english_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English imdbreviews_classification_distilbert_v04_finetuned_sst_2_english DistilBertForSequenceClassification from goma705 +author: John Snow Labs +name: imdbreviews_classification_distilbert_v04_finetuned_sst_2_english +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v04_finetuned_sst_2_english` is a English model originally trained by goma705. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v04_finetuned_sst_2_english_en_5.2.2_3.0_1704072688160.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v04_finetuned_sst_2_english_en_5.2.2_3.0_1704072688160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v04_finetuned_sst_2_english","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("imdbreviews_classification_distilbert_v04_finetuned_sst_2_english","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|imdbreviews_classification_distilbert_v04_finetuned_sst_2_english| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/goma705/imdbreviews_classification_distilbert_v04_finetuned-sst-2-english \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_5_smaller_cleaned_set_5k_en.md b/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_5_smaller_cleaned_set_5k_en.md new file mode 100644 index 0000000000000..3ddf4f93d3783 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_5_smaller_cleaned_set_5k_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English iotnation_classification_model_0_5_smaller_cleaned_set_5k DistilBertForSequenceClassification from chriskim2273 +author: John Snow Labs +name: iotnation_classification_model_0_5_smaller_cleaned_set_5k +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iotnation_classification_model_0_5_smaller_cleaned_set_5k` is a English model originally trained by chriskim2273. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_5_smaller_cleaned_set_5k_en_5.2.2_3.0_1704075213455.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_5_smaller_cleaned_set_5k_en_5.2.2_3.0_1704075213455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_5_smaller_cleaned_set_5k","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_5_smaller_cleaned_set_5k","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|iotnation_classification_model_0_5_smaller_cleaned_set_5k| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/chriskim2273/IOTNation_Classification_Model_0.5_SMALLER_CLEANED_SET_5k \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_6_5k_dataset_and_original_dataset_en.md b/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_6_5k_dataset_and_original_dataset_en.md new file mode 100644 index 0000000000000..1d45bb9e15a5c --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-iotnation_classification_model_0_6_5k_dataset_and_original_dataset_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English iotnation_classification_model_0_6_5k_dataset_and_original_dataset DistilBertForSequenceClassification from chriskim2273 +author: John Snow Labs +name: iotnation_classification_model_0_6_5k_dataset_and_original_dataset +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iotnation_classification_model_0_6_5k_dataset_and_original_dataset` is a English model originally trained by chriskim2273. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_6_5k_dataset_and_original_dataset_en_5.2.2_3.0_1704079207958.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iotnation_classification_model_0_6_5k_dataset_and_original_dataset_en_5.2.2_3.0_1704079207958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_6_5k_dataset_and_original_dataset","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("iotnation_classification_model_0_6_5k_dataset_and_original_dataset","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|iotnation_classification_model_0_6_5k_dataset_and_original_dataset| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|246.0 MB| + +## References + +https://huggingface.co/chriskim2273/IOTNation_Classification_Model_0.6_5K_DATASET_AND_ORIGINAL_DATASET \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_300_per_cat_en.md b/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_300_per_cat_en.md new file mode 100644 index 0000000000000..29cbc874c74ef --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_300_per_cat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English keyword_category_classifier_300_per_cat DistilBertForSequenceClassification from Nalenczewski +author: John Snow Labs +name: keyword_category_classifier_300_per_cat +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_300_per_cat` is a English model originally trained by Nalenczewski. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_300_per_cat_en_5.2.2_3.0_1704086414372.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_300_per_cat_en_5.2.2_3.0_1704086414372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_300_per_cat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_300_per_cat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|keyword_category_classifier_300_per_cat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nalenczewski/keyword_category_classifier_300_per_cat \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_400_per_cat_en.md b/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_400_per_cat_en.md new file mode 100644 index 0000000000000..af534ebb2ff30 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-keyword_category_classifier_400_per_cat_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English keyword_category_classifier_400_per_cat DistilBertForSequenceClassification from Nalenczewski +author: John Snow Labs +name: keyword_category_classifier_400_per_cat +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_400_per_cat` is a English model originally trained by Nalenczewski. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_400_per_cat_en_5.2.2_3.0_1704093878566.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_400_per_cat_en_5.2.2_3.0_1704093878566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_400_per_cat","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("keyword_category_classifier_400_per_cat","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|keyword_category_classifier_400_per_cat| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Nalenczewski/keyword_category_classifier_400_per_cat \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-left_padding0model_en.md b/docs/_posts/ahmedlone127/2024-01-01-left_padding0model_en.md new file mode 100644 index 0000000000000..e4057a8dfaf2e --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-left_padding0model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding0model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding0model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding0model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding0model_en_5.2.2_3.0_1704077275876.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding0model_en_5.2.2_3.0_1704077275876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding0model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding0model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding0model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Realgon/left_padding0model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-left_padding20model_en.md b/docs/_posts/ahmedlone127/2024-01-01-left_padding20model_en.md new file mode 100644 index 0000000000000..850ae4a0c3897 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-left_padding20model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding20model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding20model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding20model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding20model_en_5.2.2_3.0_1704069819947.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding20model_en_5.2.2_3.0_1704069819947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding20model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding20model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding20model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Realgon/left_padding20model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-left_padding60model_en.md b/docs/_posts/ahmedlone127/2024-01-01-left_padding60model_en.md new file mode 100644 index 0000000000000..d93c71eb1b9f9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-left_padding60model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English left_padding60model DistilBertForSequenceClassification from Realgon +author: John Snow Labs +name: left_padding60model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding60model` is a English model originally trained by Realgon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding60model_en_5.2.2_3.0_1704085008863.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding60model_en_5.2.2_3.0_1704085008863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding60model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("left_padding60model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|left_padding60model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Realgon/left_padding60model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-manifestoproject_en.md b/docs/_posts/ahmedlone127/2024-01-01-manifestoproject_en.md new file mode 100644 index 0000000000000..978fd38908cc9 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-manifestoproject_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English manifestoproject DistilBertForSequenceClassification from jordankrishnayah +author: John Snow Labs +name: manifestoproject +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`manifestoproject` is a English model originally trained by jordankrishnayah. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/manifestoproject_en_5.2.2_3.0_1704086337932.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/manifestoproject_en_5.2.2_3.0_1704086337932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("manifestoproject","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("manifestoproject","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|manifestoproject| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/jordankrishnayah/manifestoProject \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-model_demo_soulbest_en.md b/docs/_posts/ahmedlone127/2024-01-01-model_demo_soulbest_en.md new file mode 100644 index 0000000000000..7ac4d2dc1ad3d --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-model_demo_soulbest_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_demo_soulbest DistilBertForSequenceClassification from Soulbest +author: John Snow Labs +name: model_demo_soulbest +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_demo_soulbest` is a English model originally trained by Soulbest. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_demo_soulbest_en_5.2.2_3.0_1704079811518.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_demo_soulbest_en_5.2.2_3.0_1704079811518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_demo_soulbest","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_demo_soulbest","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_demo_soulbest| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Soulbest/model_demo \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-model_los_removing_layer_latest_bert_cmm_en.md b/docs/_posts/ahmedlone127/2024-01-01-model_los_removing_layer_latest_bert_cmm_en.md new file mode 100644 index 0000000000000..7a73f5a6f60c6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-model_los_removing_layer_latest_bert_cmm_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_los_removing_layer_latest_bert_cmm DistilBertForSequenceClassification from harinib +author: John Snow Labs +name: model_los_removing_layer_latest_bert_cmm +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_los_removing_layer_latest_bert_cmm` is a English model originally trained by harinib. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_los_removing_layer_latest_bert_cmm_en_5.2.2_3.0_1704090726902.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_los_removing_layer_latest_bert_cmm_en_5.2.2_3.0_1704090726902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_los_removing_layer_latest_bert_cmm","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_los_removing_layer_latest_bert_cmm","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_los_removing_layer_latest_bert_cmm| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/harinib/model_los_removing_layer_latest_bert_cmm \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-model_training_waimai_log_en.md b/docs/_posts/ahmedlone127/2024-01-01-model_training_waimai_log_en.md new file mode 100644 index 0000000000000..d44f837012166 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-model_training_waimai_log_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English model_training_waimai_log DistilBertForSequenceClassification from tanguyliu +author: John Snow Labs +name: model_training_waimai_log +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_training_waimai_log` is a English model originally trained by tanguyliu. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_training_waimai_log_en_5.2.2_3.0_1704072544127.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_training_waimai_log_en_5.2.2_3.0_1704072544127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_training_waimai_log","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("model_training_waimai_log","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|model_training_waimai_log| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.3 MB| + +## References + +https://huggingface.co/tanguyliu/model_training_waimai_log \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-q1_phq_en.md b/docs/_posts/ahmedlone127/2024-01-01-q1_phq_en.md new file mode 100644 index 0000000000000..af50454a58681 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-q1_phq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q1_phq DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: q1_phq +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q1_phq` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q1_phq_en_5.2.2_3.0_1704080727274.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q1_phq_en_5.2.2_3.0_1704080727274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q1_phq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q1_phq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q1_phq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ishwarbb23/Q1-PHQ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-q2_phq_en.md b/docs/_posts/ahmedlone127/2024-01-01-q2_phq_en.md new file mode 100644 index 0000000000000..8e25b32492ac2 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-q2_phq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q2_phq DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: q2_phq +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q2_phq` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2_phq_en_5.2.2_3.0_1704094143000.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2_phq_en_5.2.2_3.0_1704094143000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q2_phq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q2_phq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q2_phq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ishwarbb23/Q2-PHQ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-q3_phq_en.md b/docs/_posts/ahmedlone127/2024-01-01-q3_phq_en.md new file mode 100644 index 0000000000000..3e24d28689410 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-q3_phq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q3_phq DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: q3_phq +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q3_phq` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q3_phq_en_5.2.2_3.0_1704085107994.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q3_phq_en_5.2.2_3.0_1704085107994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q3_phq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q3_phq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q3_phq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ishwarbb23/Q3-PHQ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-q9_phq_en.md b/docs/_posts/ahmedlone127/2024-01-01-q9_phq_en.md new file mode 100644 index 0000000000000..68c89bfdca3c1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-q9_phq_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English q9_phq DistilBertForSequenceClassification from ishwarbb23 +author: John Snow Labs +name: q9_phq +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q9_phq` is a English model originally trained by ishwarbb23. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q9_phq_en_5.2.2_3.0_1704073405508.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q9_phq_en_5.2.2_3.0_1704073405508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("q9_phq","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("q9_phq","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|q9_phq| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/ishwarbb23/Q9-PHQ \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-raytune_textclassification_en.md b/docs/_posts/ahmedlone127/2024-01-01-raytune_textclassification_en.md new file mode 100644 index 0000000000000..e661a46a1dd00 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-raytune_textclassification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English raytune_textclassification DistilBertForSequenceClassification from mrizalf7 +author: John Snow Labs +name: raytune_textclassification +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`raytune_textclassification` is a English model originally trained by mrizalf7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/raytune_textclassification_en_5.2.2_3.0_1704083441147.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/raytune_textclassification_en_5.2.2_3.0_1704083441147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("raytune_textclassification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("raytune_textclassification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|raytune_textclassification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/mrizalf7/RayTune-TextClassification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-rcarrata_finetuning_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2024-01-01-rcarrata_finetuning_sentiment_model_3000_samples_en.md new file mode 100644 index 0000000000000..1631e1ea42aec --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-rcarrata_finetuning_sentiment_model_3000_samples_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English rcarrata_finetuning_sentiment_model_3000_samples DistilBertForSequenceClassification from rcarrata +author: John Snow Labs +name: rcarrata_finetuning_sentiment_model_3000_samples +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rcarrata_finetuning_sentiment_model_3000_samples` is a English model originally trained by rcarrata. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rcarrata_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1704087003865.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rcarrata_finetuning_sentiment_model_3000_samples_en_5.2.2_3.0_1704087003865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("rcarrata_finetuning_sentiment_model_3000_samples","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("rcarrata_finetuning_sentiment_model_3000_samples","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|rcarrata_finetuning_sentiment_model_3000_samples| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/rcarrata/rcarrata-finetuning-sentiment-model-3000-samples \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-results_raghavsharma06_en.md b/docs/_posts/ahmedlone127/2024-01-01-results_raghavsharma06_en.md new file mode 100644 index 0000000000000..5a72ee2b18944 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-results_raghavsharma06_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_raghavsharma06 DistilBertForSequenceClassification from raghavsharma06 +author: John Snow Labs +name: results_raghavsharma06 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_raghavsharma06` is a English model originally trained by raghavsharma06. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_raghavsharma06_en_5.2.2_3.0_1704071720394.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_raghavsharma06_en_5.2.2_3.0_1704071720394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_raghavsharma06","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_raghavsharma06","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_raghavsharma06| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/raghavsharma06/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-results_rorisdejuarez_en.md b/docs/_posts/ahmedlone127/2024-01-01-results_rorisdejuarez_en.md new file mode 100644 index 0000000000000..0d3b24f2d5342 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-results_rorisdejuarez_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English results_rorisdejuarez DistilBertForSequenceClassification from rorisdejuarez +author: John Snow Labs +name: results_rorisdejuarez +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_rorisdejuarez` is a English model originally trained by rorisdejuarez. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_rorisdejuarez_en_5.2.2_3.0_1704078297712.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_rorisdejuarez_en_5.2.2_3.0_1704078297712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_rorisdejuarez","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("results_rorisdejuarez","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|results_rorisdejuarez| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/rorisdejuarez/results \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_12000sample_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_12000sample_en.md new file mode 100644 index 0000000000000..2a805fc7d29d8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_12000sample_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_12000sample DistilBertForSequenceClassification from Carmesix +author: John Snow Labs +name: sentiment_analysis_12000sample +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_12000sample` is a English model originally trained by Carmesix. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_12000sample_en_5.2.2_3.0_1704087770083.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_12000sample_en_5.2.2_3.0_1704087770083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_12000sample","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_12000sample","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_12000sample| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Carmesix/Sentiment_Analysis_12000sample \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_20000sample_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_20000sample_en.md new file mode 100644 index 0000000000000..500f3c0599cb3 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_20000sample_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_20000sample DistilBertForSequenceClassification from Carmesix +author: John Snow Labs +name: sentiment_analysis_20000sample +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_20000sample` is a English model originally trained by Carmesix. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_20000sample_en_5.2.2_3.0_1704082682198.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_20000sample_en_5.2.2_3.0_1704082682198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_20000sample","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_20000sample","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_20000sample| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Carmesix/Sentiment_Analysis_20000sample \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_25000sample_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_25000sample_en.md new file mode 100644 index 0000000000000..46dc68b79a921 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_25000sample_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_25000sample DistilBertForSequenceClassification from Carmesix +author: John Snow Labs +name: sentiment_analysis_25000sample +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_25000sample` is a English model originally trained by Carmesix. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_25000sample_en_5.2.2_3.0_1704089100402.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_25000sample_en_5.2.2_3.0_1704089100402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_25000sample","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_25000sample","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_25000sample| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/Carmesix/Sentiment_Analysis_25000sample \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_alexisdpc_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_alexisdpc_en.md new file mode 100644 index 0000000000000..a105b60e03631 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_alexisdpc_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_alexisdpc DistilBertForSequenceClassification from alexisdpc +author: John Snow Labs +name: sentiment_analysis_alexisdpc +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_alexisdpc` is a English model originally trained by alexisdpc. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_alexisdpc_en_5.2.2_3.0_1704086056729.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_alexisdpc_en_5.2.2_3.0_1704086056729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_alexisdpc","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_alexisdpc","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_alexisdpc| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/alexisdpc/sentiment_analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_gsl22_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_gsl22_en.md new file mode 100644 index 0000000000000..4975e3d04cd40 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_gsl22_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_gsl22 DistilBertForSequenceClassification from gsl22 +author: John Snow Labs +name: sentiment_analysis_gsl22 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_gsl22` is a English model originally trained by gsl22. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gsl22_en_5.2.2_3.0_1704071969787.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gsl22_en_5.2.2_3.0_1704071969787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_gsl22","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_gsl22","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_gsl22| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/gsl22/sentiment-analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_model_01_fernando_m1_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_model_01_fernando_m1_en.md new file mode 100644 index 0000000000000..ee27dbf224394 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_analysis_model_01_fernando_m1_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_analysis_model_01_fernando_m1 DistilBertForSequenceClassification from fernando-m1 +author: John Snow Labs +name: sentiment_analysis_model_01_fernando_m1 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_01_fernando_m1` is a English model originally trained by fernando-m1. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_fernando_m1_en_5.2.2_3.0_1704074925018.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_01_fernando_m1_en_5.2.2_3.0_1704074925018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_fernando_m1","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_analysis_model_01_fernando_m1","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_analysis_model_01_fernando_m1| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/fernando-m1/sentiment_analysis_model_01 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-sentiment_model_on_imdb_dataset_hoang123223_en.md b/docs/_posts/ahmedlone127/2024-01-01-sentiment_model_on_imdb_dataset_hoang123223_en.md new file mode 100644 index 0000000000000..b8d830d20553e --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-sentiment_model_on_imdb_dataset_hoang123223_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English sentiment_model_on_imdb_dataset_hoang123223 DistilBertForSequenceClassification from hoang123223 +author: John Snow Labs +name: sentiment_model_on_imdb_dataset_hoang123223 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_on_imdb_dataset_hoang123223` is a English model originally trained by hoang123223. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_on_imdb_dataset_hoang123223_en_5.2.2_3.0_1704080384089.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_on_imdb_dataset_hoang123223_en_5.2.2_3.0_1704080384089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_on_imdb_dataset_hoang123223","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("sentiment_model_on_imdb_dataset_hoang123223","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|sentiment_model_on_imdb_dataset_hoang123223| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/hoang123223/sentiment-model-on-imdb-dataset \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-simple_classification_en.md b/docs/_posts/ahmedlone127/2024-01-01-simple_classification_en.md new file mode 100644 index 0000000000000..910fcce31bcc6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-simple_classification_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English simple_classification DistilBertForSequenceClassification from ai-ar +author: John Snow Labs +name: simple_classification +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`simple_classification` is a English model originally trained by ai-ar. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simple_classification_en_5.2.2_3.0_1704081306637.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simple_classification_en_5.2.2_3.0_1704081306637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("simple_classification","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("simple_classification","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|simple_classification| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/ai-ar/simple-classification \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test1_bryanhpchiang_en.md b/docs/_posts/ahmedlone127/2024-01-01-test1_bryanhpchiang_en.md new file mode 100644 index 0000000000000..8fb10016c3d2a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test1_bryanhpchiang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test1_bryanhpchiang DistilBertForSequenceClassification from bryanhpchiang +author: John Snow Labs +name: test1_bryanhpchiang +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_bryanhpchiang` is a English model originally trained by bryanhpchiang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_bryanhpchiang_en_5.2.2_3.0_1704070882482.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_bryanhpchiang_en_5.2.2_3.0_1704070882482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test1_bryanhpchiang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test1_bryanhpchiang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test1_bryanhpchiang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bryanhpchiang/test1 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test2_bryanhpchiang_en.md b/docs/_posts/ahmedlone127/2024-01-01-test2_bryanhpchiang_en.md new file mode 100644 index 0000000000000..6e56bdf12d7cb --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test2_bryanhpchiang_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test2_bryanhpchiang DistilBertForSequenceClassification from bryanhpchiang +author: John Snow Labs +name: test2_bryanhpchiang +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test2_bryanhpchiang` is a English model originally trained by bryanhpchiang. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test2_bryanhpchiang_en_5.2.2_3.0_1704073803110.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test2_bryanhpchiang_en_5.2.2_3.0_1704073803110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test2_bryanhpchiang","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test2_bryanhpchiang","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test2_bryanhpchiang| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/bryanhpchiang/test2 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test_model_reyj1999_en.md b/docs/_posts/ahmedlone127/2024-01-01-test_model_reyj1999_en.md new file mode 100644 index 0000000000000..2dbfce3bbeb09 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test_model_reyj1999_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_model_reyj1999 DistilBertForSequenceClassification from reyj1999 +author: John Snow Labs +name: test_model_reyj1999 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_reyj1999` is a English model originally trained by reyj1999. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_reyj1999_en_5.2.2_3.0_1704070124346.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_reyj1999_en_5.2.2_3.0_1704070124346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_reyj1999","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_model_reyj1999","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_model_reyj1999| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/reyj1999/test_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test_mrizalf7_en.md b/docs/_posts/ahmedlone127/2024-01-01-test_mrizalf7_en.md new file mode 100644 index 0000000000000..9f2d56dc77029 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test_mrizalf7_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_mrizalf7 DistilBertForSequenceClassification from mrizalf7 +author: John Snow Labs +name: test_mrizalf7 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_mrizalf7` is a English model originally trained by mrizalf7. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_mrizalf7_en_5.2.2_3.0_1704087596305.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_mrizalf7_en_5.2.2_3.0_1704087596305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_mrizalf7","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_mrizalf7","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_mrizalf7| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/mrizalf7/test \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-01-01-test_sentiment_analysis_en.md new file mode 100644 index 0000000000000..d3d527edc8d14 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test_sentiment_analysis_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_sentiment_analysis DistilBertForSequenceClassification from xszhou +author: John Snow Labs +name: test_sentiment_analysis +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_sentiment_analysis` is a English model originally trained by xszhou. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_sentiment_analysis_en_5.2.2_3.0_1704085843706.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_sentiment_analysis_en_5.2.2_3.0_1704085843706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_sentiment_analysis","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_sentiment_analysis","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_sentiment_analysis| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/xszhou/test-sentiment-analysis \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-test_toxic_comment_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-test_toxic_comment_model_en.md new file mode 100644 index 0000000000000..d7c8b07fc6322 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-test_toxic_comment_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English test_toxic_comment_model DistilBertForSequenceClassification from kkkzzzkkk +author: John Snow Labs +name: test_toxic_comment_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_toxic_comment_model` is a English model originally trained by kkkzzzkkk. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_toxic_comment_model_en_5.2.2_3.0_1704089383849.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_toxic_comment_model_en_5.2.2_3.0_1704089383849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_toxic_comment_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("test_toxic_comment_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|test_toxic_comment_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/kkkzzzkkk/test_toxic-comment-model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-text_classification_model_yangel88_en.md b/docs/_posts/ahmedlone127/2024-01-01-text_classification_model_yangel88_en.md new file mode 100644 index 0000000000000..2715128831ba8 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-text_classification_model_yangel88_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English text_classification_model_yangel88 DistilBertForSequenceClassification from yangel88 +author: John Snow Labs +name: text_classification_model_yangel88 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_model_yangel88` is a English model originally trained by yangel88. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_model_yangel88_en_5.2.2_3.0_1704084238780.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_model_yangel88_en_5.2.2_3.0_1704084238780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_yangel88","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("text_classification_model_yangel88","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|text_classification_model_yangel88| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/yangel88/text_classification_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-training_master_model_en.md b/docs/_posts/ahmedlone127/2024-01-01-training_master_model_en.md new file mode 100644 index 0000000000000..9a90c29ea9f1a --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-training_master_model_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English training_master_model DistilBertForSequenceClassification from Brecon +author: John Snow Labs +name: training_master_model +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_master_model` is a English model originally trained by Brecon. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_master_model_en_5.2.2_3.0_1704088317714.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_master_model_en_5.2.2_3.0_1704088317714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_master_model","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("training_master_model","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|training_master_model| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/Brecon/training_master_model \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-tweet_sentiments_40k_nepal_bhasa_pzalavad_en.md b/docs/_posts/ahmedlone127/2024-01-01-tweet_sentiments_40k_nepal_bhasa_pzalavad_en.md new file mode 100644 index 0000000000000..2f947944d0cd1 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-tweet_sentiments_40k_nepal_bhasa_pzalavad_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweet_sentiments_40k_nepal_bhasa_pzalavad DistilBertForSequenceClassification from pzalavad +author: John Snow Labs +name: tweet_sentiments_40k_nepal_bhasa_pzalavad +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_sentiments_40k_nepal_bhasa_pzalavad` is a English model originally trained by pzalavad. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_sentiments_40k_nepal_bhasa_pzalavad_en_5.2.2_3.0_1704089960015.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_sentiments_40k_nepal_bhasa_pzalavad_en_5.2.2_3.0_1704089960015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_40k_nepal_bhasa_pzalavad","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweet_sentiments_40k_nepal_bhasa_pzalavad","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweet_sentiments_40k_nepal_bhasa_pzalavad| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.5 MB| + +## References + +https://huggingface.co/pzalavad/tweet_sentiments_40k_new \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment4_en.md b/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment4_en.md new file mode 100644 index 0000000000000..716d8e72c0b88 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweetsentiment4 DistilBertForSequenceClassification from LionelNH +author: John Snow Labs +name: tweetsentiment4 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweetsentiment4` is a English model originally trained by LionelNH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetsentiment4_en_5.2.2_3.0_1704092499352.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetsentiment4_en_5.2.2_3.0_1704092499352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweetsentiment4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LionelNH/tweetSentiment4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment5_en.md b/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment5_en.md new file mode 100644 index 0000000000000..588e88ca245e6 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-tweetsentiment5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English tweetsentiment5 DistilBertForSequenceClassification from LionelNH +author: John Snow Labs +name: tweetsentiment5 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweetsentiment5` is a English model originally trained by LionelNH. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetsentiment5_en_5.2.2_3.0_1704077808953.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetsentiment5_en_5.2.2_3.0_1704077808953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("tweetsentiment5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|tweetsentiment5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/LionelNH/tweetSentiment5 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv4_en.md b/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv4_en.md new file mode 100644 index 0000000000000..f981ec235bb04 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv4_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twittersentimentv4 DistilBertForSequenceClassification from cogitosum84 +author: John Snow Labs +name: twittersentimentv4 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twittersentimentv4` is a English model originally trained by cogitosum84. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twittersentimentv4_en_5.2.2_3.0_1704084620105.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twittersentimentv4_en_5.2.2_3.0_1704084620105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv4","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv4","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twittersentimentv4| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cogitosum84/twittersentimentv4 \ No newline at end of file diff --git a/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv5_en.md b/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv5_en.md new file mode 100644 index 0000000000000..fd6572316b0b5 --- /dev/null +++ b/docs/_posts/ahmedlone127/2024-01-01-twittersentimentv5_en.md @@ -0,0 +1,97 @@ +--- +layout: model +title: English twittersentimentv5 DistilBertForSequenceClassification from cogitosum84 +author: John Snow Labs +name: twittersentimentv5 +date: 2024-01-01 +tags: [bert, en, open_source, sequence_classification, onnx] +task: Text Classification +language: en +edition: Spark NLP 5.2.2 +spark_version: 3.0 +supported: true +engine: onnx +annotator: DistilBertForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twittersentimentv5` is a English model originally trained by cogitosum84. + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twittersentimentv5_en_5.2.2_3.0_1704070614731.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twittersentimentv5_en_5.2.2_3.0_1704070614731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python + +document_assembler = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +tokenizer = Tokenizer()\ + .setInputCols("document")\ + .setOutputCol("token") + +sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv5","en")\ + .setInputCols(["document","token"])\ + .setOutputCol("class") + +pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier]) + +data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text") + +result = pipeline.fit(data).transform(data) + +``` +```scala + +val document_assembler = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val tokenizer = new Tokenizer() + .setInputCols("document") + .setOutputCol("token") + +val sequenceClassifier = DistilBertForSequenceClassification.pretrained("twittersentimentv5","en") + .setInputCols(Array("document","token")) + .setOutputCol("class") + +val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier)) + +val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text") + +val result = pipeline.fit(data).transform(data) + + +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|twittersentimentv5| +|Compatibility:|Spark NLP 5.2.2+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[documents, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|249.4 MB| + +## References + +https://huggingface.co/cogitosum84/twittersentimentv5 \ No newline at end of file diff --git a/docs/_posts/alex2awesome/2023-12-22-Affiliation_Classifier_Roberta_en.md b/docs/_posts/alex2awesome/2023-12-22-Affiliation_Classifier_Roberta_en.md new file mode 100644 index 0000000000000..3d92b51974131 --- /dev/null +++ b/docs/_posts/alex2awesome/2023-12-22-Affiliation_Classifier_Roberta_en.md @@ -0,0 +1,88 @@ +--- +layout: model +title: Affiliation Classifier +author: alex2awesome +name: Affiliation_Classifier_Roberta +date: 2023-12-22 +tags: [en, open_source, tensorflow] +task: Text Classification +language: en +edition: Spark NLP 5.2.0 +spark_version: 3.2 +supported: false +engine: tensorflow +annotator: RoBertaForSequenceClassification +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +Predicts the affiliation, if any, of the information in a paragraph. + +## Predicted Entities + + + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/community.johnsnowlabs.com/alex2awesome/Affiliation_Classifier_Roberta_en_5.2.0_3.2_1703264189300.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://community.johnsnowlabs.com/alex2awesome/Affiliation_Classifier_Roberta_en_5.2.0_3.2_1703264189300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python +from sparknlp.annotator import * +from sparknlp.base import * + +document_assembler = DocumentAssembler() \ + .setInputCol('text') \ + .setOutputCol('document') + +tokenizer = Tokenizer() \ + .setInputCols(['document']) \ + .setOutputCol('token') + +sequence_classifier = RoBertaForSequenceClassification.load(MODEL_NAME) + .setInputCols(["document",'token'])\ + .setOutputCol("class") + +pipeline = Pipeline(stages=[ + document_assembler, + tokenizer, + sequence_classifier +]) + +# couple of simple examples +example = spark.createDataFrame([["I love you!"], ['I feel lucky to be here.']]).toDF("text") + +result = pipeline.fit(example).transform(example) + +# result is a DataFrame +result.select("text", "class.result").show() +``` + +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|Affiliation_Classifier_Roberta| +|Compatibility:|Spark NLP 5.2.0+| +|License:|Open Source| +|Edition:|Community| +|Input Labels:|[document, token]| +|Output Labels:|[class]| +|Language:|en| +|Size:|441.4 MB| +|Case sensitive:|true| +|Max sentence length:|128| +|Dependencies:|None| \ No newline at end of file diff --git a/docs/_posts/maziyarpanahi/2024-01-01-bge_base_en.md b/docs/_posts/maziyarpanahi/2024-01-01-bge_base_en.md new file mode 100644 index 0000000000000..6c2d7d9e1d506 --- /dev/null +++ b/docs/_posts/maziyarpanahi/2024-01-01-bge_base_en.md @@ -0,0 +1,85 @@ +--- +layout: model +title: BAAI general embedding English (bge_base) +author: John Snow Labs +name: bge_base +date: 2024-01-01 +tags: [bert, bge, onnx, en, open_source] +task: Embeddings +language: en +edition: Spark NLP 5.2.1 +spark_version: 3.0 +supported: true +engine: onnx +annotator: BGEEmbeddings +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. +And it also can be used in vector database for LLMs. + +`bge` is short for `BAAI general embedding`. + +| Model | Language | Description | query instruction for retrieval\* | +|:-------------------------------|:--------:| :--------:| :--------:| +| [BAAI/bge-large-en](https://huggingface.co/BAAI/bge-large-en) | English | rank **1st** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en) | English | rank **2nd** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) | English | a small-scale model but with competitive performance | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | Chinese | rank **1st** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-large-zh-noinstruct](https://huggingface.co/BAAI/bge-large-zh-noinstruct) | Chinese | This model is trained without instruction, and rank **2nd** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | | +| [BAAI/bge-base-zh](https://huggingface.co/BAAI/bge-base-zh) | Chinese | a base-scale model but has similar ability with `bge-large-zh` | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-small-zh](https://huggingface.co/BAAI/bge-small-zh) | Chinese | a small-scale model but with competitive performance | `为这个句子生成表示以用于检索相关文章：` | + +## Predicted Entities + + + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_en_5.2.1_3.0_1704107443716.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_en_5.2.1_3.0_1704107443716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python +document = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +embeddings = BGEEmbeddings.pretrained("bge_base", "en")\ + .setInputCols("document")\ + .setOutputCol("embeddings") +``` +```scala +val document = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val embeddings = BGEEmbeddings.pretrained("bge_base", "en") + .setInputCols("document") + .setOutputCol("embeddings") +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bge_base| +|Compatibility:|Spark NLP 5.2.1+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[document]| +|Output Labels:|[bge]| +|Language:|en| +|Size:|258.7 MB| \ No newline at end of file diff --git a/docs/_posts/maziyarpanahi/2024-01-01-bge_large_en.md b/docs/_posts/maziyarpanahi/2024-01-01-bge_large_en.md new file mode 100644 index 0000000000000..ab99f6be680cc --- /dev/null +++ b/docs/_posts/maziyarpanahi/2024-01-01-bge_large_en.md @@ -0,0 +1,87 @@ +--- +layout: model +title: BAAI general embedding English (bge_large) +author: John Snow Labs +name: bge_large +date: 2024-01-01 +tags: [en, onnx, bert, bge, open_source] +task: Embeddings +language: en +edition: Spark NLP 5.2.1 +spark_version: 3.0 +supported: true +engine: onnx +annotator: BGEEmbeddings +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. +And it also can be used in vector database for LLMs. + +`bge` is short for `BAAI general embedding`. + +| Model | Language | Description | query instruction for retrieval\* | +|:-------------------------------|:--------:| :--------:| :--------:| +| [BAAI/bge-large-en](https://huggingface.co/BAAI/bge-large-en) | English | rank **1st** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en) | English | rank **2nd** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) | English | a small-scale model but with competitive performance | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | Chinese | rank **1st** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-large-zh-noinstruct](https://huggingface.co/BAAI/bge-large-zh-noinstruct) | Chinese | This model is trained without instruction, and rank **2nd** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | | +| [BAAI/bge-base-zh](https://huggingface.co/BAAI/bge-base-zh) | Chinese | a base-scale model but has similar ability with `bge-large-zh` | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-small-zh](https://huggingface.co/BAAI/bge-small-zh) | Chinese | a small-scale model but with competitive performance | `为这个句子生成表示以用于检索相关文章：` | + +## Predicted Entities + + + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_en_5.2.1_3.0_1704108288598.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_en_5.2.1_3.0_1704108288598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python +document = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + + +embeddings = BGEEmbeddings.pretrained("bge_large", "en")\ + .setInputCols("document")\ + .setOutputCol("embeddings") +``` +```scala +val document = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + + +val embeddings = BGEEmbeddings.pretrained("bge_large", "en") + .setInputCols("document") + .setOutputCol("embeddings") +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bge_large| +|Compatibility:|Spark NLP 5.2.1+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[document]| +|Output Labels:|[bge]| +|Language:|en| +|Size:|794.1 MB| \ No newline at end of file diff --git a/docs/_posts/maziyarpanahi/2024-01-01-bge_small_en.md b/docs/_posts/maziyarpanahi/2024-01-01-bge_small_en.md new file mode 100644 index 0000000000000..077a1cb68ed62 --- /dev/null +++ b/docs/_posts/maziyarpanahi/2024-01-01-bge_small_en.md @@ -0,0 +1,85 @@ +--- +layout: model +title: BAAI general embedding English (bge_small) +author: John Snow Labs +name: bge_small +date: 2024-01-01 +tags: [onnx, bert, bge, en, open_source] +task: Embeddings +language: en +edition: Spark NLP 5.2.1 +spark_version: 3.0 +supported: true +engine: onnx +annotator: BGEEmbeddings +article_header: + type: cover +use_language_switcher: "Python-Scala-Java" +--- + +## Description + +FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. +And it also can be used in vector database for LLMs. + +`bge` is short for `BAAI general embedding`. + +| Model | Language | Description | query instruction for retrieval\* | +|:-------------------------------|:--------:| :--------:| :--------:| +| [BAAI/bge-large-en](https://huggingface.co/BAAI/bge-large-en) | English | rank **1st** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en) | English | rank **2nd** in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) | English | a small-scale model but with competitive performance | `Represent this sentence for searching relevant passages: ` | +| [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | Chinese | rank **1st** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-large-zh-noinstruct](https://huggingface.co/BAAI/bge-large-zh-noinstruct) | Chinese | This model is trained without instruction, and rank **2nd** in [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB) benchmark | | +| [BAAI/bge-base-zh](https://huggingface.co/BAAI/bge-base-zh) | Chinese | a base-scale model but has similar ability with `bge-large-zh` | `为这个句子生成表示以用于检索相关文章：` | +| [BAAI/bge-small-zh](https://huggingface.co/BAAI/bge-small-zh) | Chinese | a small-scale model but with competitive performance | `为这个句子生成表示以用于检索相关文章：` | + +## Predicted Entities + + + +{:.btn-box} + + +[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_small_en_5.2.1_3.0_1704105455110.zip){:.button.button-orange.button-orange-trans.arr.button-icon} +[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_small_en_5.2.1_3.0_1704105455110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} + +## How to use + + + +
+{% include programmingLanguageSelectScalaPythonNLU.html %} +```python +document = DocumentAssembler()\ + .setInputCol("text")\ + .setOutputCol("document") + +embeddings = BGEEmbeddings.pretrained("bge_small", "en")\ + .setInputCols("document")\ + .setOutputCol("embeddings") +``` +```scala +val document = new DocumentAssembler() + .setInputCol("text") + .setOutputCol("document") + +val embeddings = BGEEmbeddings.pretrained("bge_small", "en") + .setInputCols("document") + .setOutputCol("embeddings") +``` +
+ +{:.model-param} +## Model Information + +{:.table-model} +|---|---| +|Model Name:|bge_small| +|Compatibility:|Spark NLP 5.2.1+| +|License:|Open Source| +|Edition:|Official| +|Input Labels:|[document]| +|Output Labels:|[bge]| +|Language:|en| +|Size:|79.8 MB| \ No newline at end of file