{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-match_datetime_en.md b/docs/_posts/ahmedlone127/2023-05-22-match_datetime_en.md
index 57932b42257f..f80a11e7fa78 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-match_datetime_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-match_datetime_en.md
@@ -32,35 +32,7 @@ DateMatcher based on yyyy/MM/dd
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline_local = PretrainedPipeline('match_datetime')
-
-tres = pipeline_local.fullAnnotate(input_list)[0]
-for dte in tres['date']:
- sent = tres['sentence'][int(dte.metadata['sentence'])]
- print (f'text/chunk {sent.result[dte.begin:dte.end+1]} | mapped_date: {dte.result}')
-```
-```scala
-
-import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline import com.johnsnowlabs.nlp.SparkNLP
-SparkNLP.version()
-
-val testData = spark.createDataFrame(Seq( (1, "David visited the restaurant yesterday with his family.
-He also visited and the day before, but at that time he was alone.
-David again visited today with his colleagues.
-He and his friends really liked the food and hoped to visit again tomorrow."))).toDF("id", "text")
-
-val pipeline = PretrainedPipeline("match_datetime", lang="en")
-
-val annotation = pipeline.transform(testData)
-
-annotation.show()
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-match_pattern_en.md b/docs/_posts/ahmedlone127/2023-05-22-match_pattern_en.md
index 4c55bc1f6ce2..481caef65b1f 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-match_pattern_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-match_pattern_en.md
@@ -33,16 +33,7 @@ The match_pattern is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("match_pattern", "en", "clinical/models")
- result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-movies_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-05-22-movies_sentiment_analysis_en.md
index cc0ac4fc6f62..560156c89d76 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-movies_sentiment_analysis_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-movies_sentiment_analysis_en.md
@@ -33,16 +33,7 @@ The movies_sentiment_analysis is a pretrained pipeline that we can use to proces
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("movies_sentiment_analysis", "en")
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_100d_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_100d_pipeline_en.md
index 9ca480fccdef..0b5111e8d0f8 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_100d_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_100d_pipeline_en.md
@@ -34,21 +34,7 @@ This pretrained pipeline is built on Few-NERD model and it detects :
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-fewnerd_pipeline = PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
-
-fewnerd_pipeline.annotate("""The Double Down is a sandwich offered by Kentucky Fried Chicken restaurants. He did not see active service again until 1882, when he took part in the Anglo-Egyptian War, and was present at the battle of Tell El Kebir (September 1882), for which he was mentioned in dispatches, received the Egypt Medal with clasp and the 3rd class of the Order of Medjidie, and was appointed a Companion of the Order of the Bath (CB).""")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
-val result = pipeline.fullAnnotate("The Double Down is a sandwich offered by Kentucky Fried Chicken restaurants. He did not see active service again until 1882, when he took part in the Anglo-Egyptian War, and was present at the battle of Tell El Kebir (September 1882), for which he was mentioned in dispatches, received the Egypt Medal with clasp and the 3rd class of the Order of Medjidie, and was appointed a Companion of the Order of the Bath (CB).")(0)
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_subentity_100d_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_subentity_100d_pipeline_en.md
index 6337f0136a98..86920d4eef13 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_subentity_100d_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-nerdl_fewnerd_subentity_100d_pipeline_en.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on Few-NERD/inter public dataset and it extrac
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-fewnerd_pipeline = PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
-
-fewnerd_pipeline.annotate("""12 Corazones ('12 Hearts') is Spanish-language dating game show produced in the United States for the television network Telemundo since January 2005, based on its namesake Argentine TV show format. The show is filmed in Los Angeles and revolves around the twelve Zodiac signs that identify each contestant. In 2008, Ho filmed a cameo in the Steven Spielberg feature film The Cloverfield Paradox, as a news pundit.""")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
-val result = pipeline.fullAnnotate("12 Corazones ('12 Hearts') is Spanish-language dating game show produced in the United States for the television network Telemundo since January 2005, based on its namesake Argentine TV show format. The show is filmed in Los Angeles and revolves around the twelve Zodiac signs that identify each contestant. In 2008, Ho filmed a cameo in the Steven Spielberg feature film The Cloverfield Paradox, as a news pundit.")(0)
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-nerdl_restaurant_100d_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-nerdl_restaurant_100d_pipeline_en.md
index 15f6f43e5b81..a40cc0735dda 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-nerdl_restaurant_100d_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-nerdl_restaurant_100d_pipeline_en.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [nerdl_restaurant_100d](https://
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-restaurant_pipeline = PretrainedPipeline("nerdl_restaurant_100d_pipeline", lang = "en")
-
-restaurant_pipeline.annotate("Hong Kong’s favourite pasta bar also offers one of the most reasonably priced lunch sets in town! With locations spread out all over the territory Sha Tin – Pici’s formidable lunch menu reads like a highlight reel of the restaurant. Choose from starters like the burrata and arugula salad or freshly tossed tuna tartare, and reliable handmade pasta dishes like pappardelle. Finally, round out your effortless Italian meal with a tidy one-pot tiramisu, of course, an espresso to power you through the rest of the day.")
-```
-```scala
-
-val restaurant_pipeline = new PretrainedPipeline("nerdl_restaurant_100d_pipeline", lang = "en")
-restaurant_pipeline.annotate("Hong Kong’s favourite pasta bar also offers one of the most reasonably priced lunch sets in town! With locations spread out all over the territory Sha Tin – Pici’s formidable lunch menu reads like a highlight reel of the restaurant. Choose from starters like the burrata and arugula salad or freshly tossed tuna tartare, and reliable handmade pasta dishes like pappardelle. Finally, round out your effortless Italian meal with a tidy one-pot tiramisu, of course, an espresso to power you through the rest of the day.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_base_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_base_en.md
index d63528bb521f..9bf91e1036a3 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_base_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_base_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_base', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_base", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.base').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_large_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_large_en.md
index f362f3d323a6..7b6ec2cf5421 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_large_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_large_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_large', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_large", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.large').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_medium_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_medium_en.md
index 519d1c16b5c6..6d5325576584 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_medium_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_medium_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_medium', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_medium", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.medium').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_mini_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_mini_en.md
index 9bb36244046f..e3e30b745e28 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_mini_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_mini_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_mini', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_mini", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.mini').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_small_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_small_en.md
index 07de2dd5f536..6fa55447acd7 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_small_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_small_en.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_small', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_small", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.small').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_tiny_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_tiny_en.md
index 1a722c34fa70..d7f03e348d71 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_tiny_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_bert_tiny_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_bert_tiny', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_bert_tiny", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.bert.tiny').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_base_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_base_en.md
index 905ff9956574..31f126c38a1b 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_base_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_base_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_electra_base', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_electra_base", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.electra.base').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_large_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_large_en.md
index 1e68b4e62370..7fd51a3c25d6 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_large_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_large_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline('onto_recognize_entities_electra_large', lang = 'en')
-annotations = pipeline.fullAnnotate("Hello from John Snow Labs!")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_electra_large", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.large').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_small_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_small_en.md
index 1177daf831da..4a212a1ced14 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_small_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_electra_small_en.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_electra_small', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_electra_small", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.electra.small').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_lg_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_lg_en.md
index a03017071dfa..b0832c47fbf9 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_lg_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_lg_en.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("onto_recognize_entities_lg", "en")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("en.ner.onto.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_sm_en.md b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_sm_en.md
index 9895cd6398d8..74528f8b336b 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_sm_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-onto_recognize_entities_sm_en.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_sm', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_sm", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.sm').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-pos_ud_bokmaal_nb.md b/docs/_posts/ahmedlone127/2023-05-22-pos_ud_bokmaal_nb.md
index e5c889d05ef3..690fbfa93c7b 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-pos_ud_bokmaal_nb.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-pos_ud_bokmaal_nb.md
@@ -34,39 +34,7 @@ This model was trained using the dataset available at https://universaldependenc
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pos = PerceptronModel.pretrained("pos_ud_bokmaal", "nb") \
- .setInputCols(["document", "token"]) \
- .setOutputCol("pos")
-
-nlp_pipeline = Pipeline(stages=[document_assembler, sentence_detector, tokenizer, pos])
-light_pipeline = LightPipeline(nlp_pipeline.fit(spark.createDataFrame([['']]).toDF("text")))
-results = light_pipeline.fullAnnotate("Annet enn å være kongen i nord, er John Snow en engelsk lege og en leder innen utvikling av anestesi og medisinsk hygiene.")
-```
-```scala
-
-val pos = PerceptronModel.pretrained("pos_ud_bokmaal", "nb")
- .setInputCols(Array("document", "token"))
- .setOutputCol("pos")
-
-val pipeline = new Pipeline().setStages(Array(document_assembler, sentence_detector, tokenizer, pos))
-val data = Seq("Annet enn å være kongen i nord, er John Snow en engelsk lege og en leder innen utvikling av anestesi og medisinsk hygiene.").toDF("text")
-val result = pipeline.fit(data).transform(data)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = ["""Annet enn å være kongen i nord, er John Snow en engelsk lege og en leder innen utvikling av anestesi og medisinsk hygiene."""]
-pos_df = nlu.load('nb.pos.ud_bokmaal').predict(text)
-pos_df
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_bert_en.md b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_bert_en.md
index ac7290c2c2f4..ad32d266f1e0 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_bert_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_bert_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('recognize_entities_bert', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("recognize_entities_bert", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.bert').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_en.md b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_en.md
index ee25fc3f75a5..9c02e144ca8c 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('recognize_entities_dl', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("recognize_entities_dl", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_fa.md b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_fa.md
index 722e3d586232..51a551c41149 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_fa.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-recognize_entities_dl_fa.md
@@ -32,37 +32,7 @@ The explain_document_dl is a pretrained pipeline that we can use to process text
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-
-pipeline = PretrainedPipeline('recognize_entities_dl', lang = 'fa')
-
-annotations = pipeline.fullAnnotate("""به گزارش خبرنگار ایرنا ، بر اساس تصمیم این مجمع ، محمد قمی نماینده مردم پاکدشت به عنوان رئیس و علیاکبر موسوی خوئینی و شمسالدین وهابی نمایندگان مردم تهران به عنوان نواب رئیس انتخاب شدند""")[0]
-
-annotations.keys()
-```
-```scala
-
-val pipeline = new PretrainedPipeline("recognize_entities_dl", lang = "fa")
-val result = pipeline.fullAnnotate("""به گزارش خبرنگار ایرنا ، بر اساس تصمیم این مجمع ، محمد قمی نماینده مردم پاکدشت به عنوان رئیس و علیاکبر موسوی خوئینی و شمسالدین وهابی نمایندگان مردم تهران به عنوان نواب رئیس انتخاب شدند""")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-
-text = ["""به گزارش خبرنگار ایرنا ، بر اساس تصمیم این مجمع ، محمد قمی نماینده مردم پاکدشت به عنوان رئیس و علیاکبر موسوی خوئینی و شمسالدین وهابی نمایندگان مردم تهران به عنوان نواب رئیس انتخاب شدند"""]
-
-result_df = nlu.load('fa.recognize_entities_dl').predict(text)
-
-result_df
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-roberta_base_token_classifier_ontonotes_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-roberta_base_token_classifier_ontonotes_pipeline_en.md
index 0ec192b82de7..5fab17c3b9af 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-roberta_base_token_classifier_ontonotes_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-roberta_base_token_classifier_ontonotes_pipeline_en.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [roberta_base_token_classifier_o
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
-pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020."))
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-roberta_large_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-roberta_large_token_classifier_conll03_pipeline_en.md
index a7d710875988..1ea8fa9a308f 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-roberta_large_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-roberta_large_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [roberta_large_token_classifier_
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("roberta_large_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("roberta_large_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs."))
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_bne_capitel_ner_pipeline_es.md b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_bne_capitel_ner_pipeline_es.md
index ff1f64782cf1..3afc986f0768 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_bne_capitel_ner_pipeline_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_bne_capitel_ner_pipeline_es.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [roberta_token_classifier_bne_ca
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("roberta_token_classifier_bne_capitel_ner_pipeline", lang = "es")
-
-pipeline.annotate("Me llamo Antonio y trabajo en la fábrica de Mercedes-Benz en Madrid.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("roberta_token_classifier_bne_capitel_ner_pipeline", lang = "es")
-pipeline.annotate("Me llamo Antonio y trabajo en la fábrica de Mercedes-Benz en Madrid.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_icelandic_ner_pipeline_is.md b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_icelandic_ner_pipeline_is.md
index 61688280e98e..9920b51285fa 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_icelandic_ner_pipeline_is.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_icelandic_ner_pipeline_is.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [roberta_token_classifier_icelan
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("roberta_token_classifier_icelandic_ner_pipeline", lang = "is")
-
-pipeline.annotate("Ég heiti Peter Fergusson. Ég hef búið í New York síðan í október 2011 og unnið hjá Tesla Motor og þénað 100K $ á ári.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("roberta_token_classifier_icelandic_ner_pipeline", lang = "is")
-pipeline.annotate("Ég heiti Peter Fergusson. Ég hef búið í New York síðan í október 2011 og unnið hjá Tesla Motor og þénað 100K $ á ári.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_timex_semeval_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_timex_semeval_pipeline_en.md
index 93eb4f1b9a89..846081aa6031 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_timex_semeval_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-roberta_token_classifier_timex_semeval_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [roberta_token_classifier_timex_
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-timex_pipeline = PretrainedPipeline("roberta_token_classifier_timex_semeval_pipeline", lang = "en")
-
-timex_pipeline.annotate("Model training was started at 22:12C and it took 3 days from Tuesday to Friday.")
-```
-```scala
-
-
-val timex_pipeline = new PretrainedPipeline("roberta_token_classifier_timex_semeval_pipeline", lang = "en")
-timex_pipeline.annotate("Model training was started at 22:12C and it took 3 days from Tuesday to Friday.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-spellcheck_dl_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-spellcheck_dl_pipeline_en.md
index 02d60cf8b49f..9d2b944659aa 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-spellcheck_dl_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-spellcheck_dl_pipeline_en.md
@@ -32,27 +32,7 @@ This pretrained spellchecker pipeline is built on the top of [spellcheck_dl](htt
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("spellcheck_dl_pipeline", lang = "en")
-
-text = ["During the summer we have the best ueather.", "I have a black ueather jacket, so nice."]
-
-pipeline.annotate(text)
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("spellcheck_dl_pipeline", lang = "en")
-val example = Array("During the summer we have the best ueather.", "I have a black ueather jacket, so nice.")
-
-pipeline.annotate(example)
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-text_cleaning_en.md b/docs/_posts/ahmedlone127/2023-05-22-text_cleaning_en.md
index bd21c3c74648..191bb5e3da08 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-text_cleaning_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-text_cleaning_en.md
@@ -33,16 +33,7 @@ The text_cleaning is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("text_cleaning", "en")
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_conll03_pipeline_en.md
index b01501066476..bd7c77c8df70 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [xlm_roberta_base_token_classifi
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("xlm_roberta_base_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("xlm_roberta_base_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_ontonotes_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_ontonotes_pipeline_en.md
index 9b0a4e00a3cb..c62562d48e60 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_ontonotes_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_base_token_classifier_ontonotes_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [xlm_roberta_base_token_classifi
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("xlm_roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("xlm_roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
-pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_conll03_pipeline_de.md b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_conll03_pipeline_de.md
index a5cde6f39d05..ee9bd6e7dc86 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_conll03_pipeline_de.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_conll03_pipeline_de.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [xlm_roberta_large_token_classif
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("xlm_roberta_large_token_classifier_conll03_pipeline", lang = "de")
-
-pipeline.annotate("Ibser begann seine Karriere beim ASK Ebreichsdorf. 2004 wechselte er zu Admira Wacker Mödling, wo er auch in der Akademie spielte.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("xlm_roberta_large_token_classifier_conll03_pipeline", lang = "de")
-pipeline.annotate("Ibser begann seine Karriere beim ASK Ebreichsdorf. 2004 wechselte er zu Admira Wacker Mödling, wo er auch in der Akademie spielte.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_hrl_pipeline_xx.md b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_hrl_pipeline_xx.md
index b50cc0a119e8..33c74c86cfb9 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_hrl_pipeline_xx.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_hrl_pipeline_xx.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [xlm_roberta_large_token_classif
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("xlm_roberta_large_token_classifier_hrl_pipeline", lang = "xx")
-
-pipeline.annotate("يمكنكم مشاهدة أمير منطقة الرياض الأمير فيصل بن بندر بن عبد العزيز في كل مناسبة وافتتاح تتعلق بمشاريع التعليم والصحة وخدمة الطرق والمشاريع الثقافية في منطقة الرياض.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("xlm_roberta_large_token_classifier_hrl_pipeline", lang = "xx")
-pipeline.annotate("يمكنكم مشاهدة أمير منطقة الرياض الأمير فيصل بن بندر بن عبد العزيز في كل مناسبة وافتتاح تتعلق بمشاريع التعليم والصحة وخدمة الطرق والمشاريع الثقافية في منطقة الرياض.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_masakhaner_pipeline_xx.md b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_masakhaner_pipeline_xx.md
index 33594be3b849..a0a6092a8e43 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_masakhaner_pipeline_xx.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlm_roberta_large_token_classifier_masakhaner_pipeline_xx.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on [xlm_roberta_large_token_classifier_masakha
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-masakhaner_pipeline = PretrainedPipeline("xlm_roberta_large_token_classifier_masakhaner_pipeline", lang = "xx")
-
-masakhaner_pipeline.annotate("አህመድ ቫንዳ ከ3-10-2000 ጀምሮ በአዲስ አበባ ኖሯል።")
-```
-```scala
-
-val masakhaner_pipeline = new PretrainedPipeline("xlm_roberta_large_token_classifier_masakhaner_pipeline", lang = "xx")
-val masakhaner_pipeline.annotate("አህመድ ቫንዳ ከ3-10-2000 ጀምሮ በአዲስ አበባ ኖሯል።")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlnet_base_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-xlnet_base_token_classifier_conll03_pipeline_en.md
index e11013676e77..9395b9b04501 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlnet_base_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlnet_base_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [xlnet_base_token_classifier_con
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("xlnet_base_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("xlnet_base_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-22-xlnet_large_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-22-xlnet_large_token_classifier_conll03_pipeline_en.md
index 58dc4fccd0d7..b4f98b17e2fb 100644
--- a/docs/_posts/ahmedlone127/2023-05-22-xlnet_large_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-22-xlnet_large_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [xlnet_large_token_classifier_co
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("xlnet_large_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("xlnet_large_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-analyze_sentiment_en.md b/docs/_posts/ahmedlone127/2023-05-24-analyze_sentiment_en.md
index 5d9c83df977d..4b610cebf162 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-analyze_sentiment_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-analyze_sentiment_en.md
@@ -34,39 +34,7 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-
-pipeline = PretrainedPipeline('analyze_sentiment', lang = 'en')
-
-result = pipeline.fullAnnotate("""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!""")
-
-
-```
-```scala
-
-import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
-val pipeline = new PretrainedPipeline("analyze_sentiment", lang = "en")
-
-val result = pipeline.fullAnnotate("""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!""")
-
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = ["""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!"""]
-result_df = nlu.load('en.classify').predict(text)
-result_df
-
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-analyze_sentimentdl_glove_imdb_en.md b/docs/_posts/ahmedlone127/2023-05-24-analyze_sentimentdl_glove_imdb_en.md
index b9f91f44783f..8f0083c01c48 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-analyze_sentimentdl_glove_imdb_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-analyze_sentimentdl_glove_imdb_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('analyze_sentimentdl_glove_imdb', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("analyze_sentimentdl_glove_imdb", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.sentiment.glove').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-clean_pattern_en.md b/docs/_posts/ahmedlone127/2023-05-24-clean_pattern_en.md
index b13244944aa9..7b07fd0486db 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-clean_pattern_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-clean_pattern_en.md
@@ -34,33 +34,7 @@ The clean_pattern is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('clean_pattern', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("clean_pattern", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.clean.pattern').predict(text)
-result_df
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-clean_stop_en.md b/docs/_posts/ahmedlone127/2023-05-24-clean_stop_en.md
index 6068e038ad1e..0226561f3acd 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-clean_stop_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-clean_stop_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('clean_stop', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("clean_stop", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.clean.stop').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_de.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_de.md
index dd930bea9c5b..c4b97d494b20 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_de.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_de.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_lg', lang = 'de')
-annotations = pipeline.fullAnnotate(""Hallo aus John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_lg", lang = "de")
-val result = pipeline.fullAnnotate("Hallo aus John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hallo aus John Snow Labs! ""]
-result_df = nlu.load('de.ner.recognizer.lg').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_es.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_es.md
index 51c2508bf37b..855f0fed257a 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_es.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "es")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("es.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_fr.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_fr.md
index 18c3447a08a0..c2d22843e89c 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_fr.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_fr.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_lg', lang = 'fr')
-annotations = pipeline.fullAnnotate(""Bonjour de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_lg", lang = "fr")
-val result = pipeline.fullAnnotate("Bonjour de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Bonjour de John Snow Labs! ""]
-result_df = nlu.load('fr.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_nl.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_nl.md
index 2c911b740264..31f27d1708a8 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_nl.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_nl.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "nl")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("nl.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_no.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_no.md
index 4cefe051b56a..c8b7aab8a115 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_no.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "no")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("no.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pl.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pl.md
index 2955701471bf..193f16302af8 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pl.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pl.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "pl")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("pl.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pt.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pt.md
index 4b1cde8456ac..6a5dc77670e5 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pt.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_pt.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "pt")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("pt.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_ru.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_ru.md
index 49dfad88bac2..066285352e68 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_ru.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "ru")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("ru.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_sv.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_sv.md
index 2d7712cc130e..7fdb92324adf 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_lg_sv.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("entity_recognizer_lg", "sv")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("sv.ner.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_de.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_de.md
index 2598aa243304..e0413a8449c2 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_de.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_de.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'de')
-annotations = pipeline.fullAnnotate(""Hallo aus John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "de")
-val result = pipeline.fullAnnotate("Hallo aus John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hallo aus John Snow Labs! ""]
-result_df = nlu.load('de.ner.recognizer').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_es.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_es.md
index 16fc2ffd0cc2..f5d3feb29f7b 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_es.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'es')
-annotations = pipeline.fullAnnotate(""Hola de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "es")
-val result = pipeline.fullAnnotate("Hola de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hola de John Snow Labs! ""]
-result_df = nlu.load('es.ner.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_fr.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_fr.md
index 72dac1583e9b..6a8542f87337 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_fr.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_fr.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'fr')
-annotations = pipeline.fullAnnotate(""Bonjour de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "fr")
-val result = pipeline.fullAnnotate("Bonjour de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Bonjour de John Snow Labs! ""]
-result_df = nlu.load('fr.ner.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_no.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_no.md
index 5e43ac4f67f8..d83b24fdd460 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_no.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'no')
-annotations = pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "no")
-val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hei fra John Snow Labs! ""]
-result_df = nlu.load('no.ner.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_ru.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_ru.md
index daa6bd25d170..ef852e7b641b 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_ru.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'ru')
-annotations = pipeline.fullAnnotate(""Здравствуйте из Джона Снежных Лабораторий! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "ru")
-val result = pipeline.fullAnnotate("Здравствуйте из Джона Снежных Лабораторий! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Здравствуйте из Джона Снежных Лабораторий! ""]
-result_df = nlu.load('ru.ner.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_sv.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_sv.md
index e2153d5b120c..372841e0a9dd 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_md_sv.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'sv')
-annotations = pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "sv")
-val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hej från John Snow Labs! ""]
-result_df = nlu.load('sv.ner.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_es.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_es.md
index 53cfb3b43086..525acf5f72da 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_es.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_sm', lang = 'es')
-annotations = pipeline.fullAnnotate(""Hola de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_sm", lang = "es")
-val result = pipeline.fullAnnotate("Hola de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hola de John Snow Labs! ""]
-result_df = nlu.load('es.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_no.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_no.md
index 37a8591fe2ef..b0ae7737cb36 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_no.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_sm', lang = 'no')
-annotations = pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_sm", lang = "no")
-val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hei fra John Snow Labs! ""]
-result_df = nlu.load('no.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_ru.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_ru.md
index 6ae289377718..5705b7a501cb 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_ru.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_sm', lang = 'ru')
-annotations = pipeline.fullAnnotate(""Здравствуйте из Джона Снежных Лабораторий! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_sm", lang = "ru")
-val result = pipeline.fullAnnotate("Здравствуйте из Джона Снежных Лабораторий! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Здравствуйте из Джона Снежных Лабораторий! ""]
-result_df = nlu.load('ru.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_sv.md b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_sv.md
index f7642a41d111..bb3360f31b31 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-entity_recognizer_sm_sv.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('entity_recognizer_sm', lang = 'sv')
-annotations = pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("entity_recognizer_sm", lang = "sv")
-val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hej från John Snow Labs! ""]
-result_df = nlu.load('sv.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_dl_en.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_dl_en.md
index ce04a272f78d..373095bcd9ae 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_dl_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_dl_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline('explain_document_dl', lang = 'en')
-annotations = pipeline.fullAnnotate("The Mona Lisa is an oil painting from the 16th century.")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_dl", lang = "en")
-val result = pipeline.fullAnnotate("The Mona Lisa is an oil painting from the 16th century.")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = ["The Mona Lisa is an oil painting from the 16th century."]
-result_df = nlu.load('en.explain.dl').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_es.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_es.md
index 81358c6d0358..2ca4a444df90 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_es.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_lg', lang = 'es')
-annotations = pipeline.fullAnnotate(""Hola de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_lg", lang = "es")
-val result = pipeline.fullAnnotate("Hola de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hola de John Snow Labs! ""]
-result_df = nlu.load('es.explain.lg').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_no.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_no.md
index 9702d2322204..927822969f81 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_no.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_lg', lang = 'no')
-annotations = pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_lg", lang = "no")
-val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hei fra John Snow Labs! ""]
-result_df = nlu.load('no.explain.lg').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_ru.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_ru.md
index 9fdae922e46e..64c7829a9140 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_ru.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_lg', lang = 'ru')
-annotations = pipeline.fullAnnotate(""Здравствуйте из Джона Снежных Лабораторий! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_lg", lang = "ru")
-val result = pipeline.fullAnnotate("Здравствуйте из Джона Снежных Лабораторий! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Здравствуйте из Джона Снежных Лабораторий! ""]
-result_df = nlu.load('ru.explain.lg').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_sv.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_sv.md
index 132f8cdbb495..147cc6720b1e 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_lg_sv.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_lg', lang = 'sv')
-annotations = pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_lg", lang = "sv")
-val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hej från John Snow Labs! ""]
-result_df = nlu.load('sv.explain.lg').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_de.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_de.md
index 3d4f4dc3ef29..bf618f14deec 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_de.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_de.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'de')
-annotations = pipeline.fullAnnotate(""Hallo aus John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "de")
-val result = pipeline.fullAnnotate("Hallo aus John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hallo aus John Snow Labs! ""]
-result_df = nlu.load('de.explain.document').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_es.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_es.md
index 0ce6e3cfe832..0a4b97317d5d 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_es.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'es')
-annotations = pipeline.fullAnnotate(""Hola de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "es")
-val result = pipeline.fullAnnotate("Hola de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hola de John Snow Labs! ""]
-result_df = nlu.load('es.explain.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_fr.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_fr.md
index a43059872d03..a42c90e8fcb1 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_fr.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_fr.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'fr')
-annotations = pipeline.fullAnnotate(""Bonjour de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "fr")
-val result = pipeline.fullAnnotate("Bonjour de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Bonjour de John Snow Labs! ""]
-result_df = nlu.load('fr.explain.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_no.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_no.md
index d0fc0624d92e..722979d39c98 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_no.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'no')
-annotations = pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "no")
-val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hei fra John Snow Labs! ""]
-result_df = nlu.load('no.explain.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_ru.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_ru.md
index 761bb44e1825..d009a4bbde89 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_ru.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'ru')
-annotations = pipeline.fullAnnotate(""Здравствуйте из Джона Снежных Лабораторий! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "ru")
-val result = pipeline.fullAnnotate("Здравствуйте из Джона Снежных Лабораторий! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Здравствуйте из Джона Снежных Лабораторий! ""]
-result_df = nlu.load('ru.explain.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_sv.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_sv.md
index 395727eadff2..2e3085c84f1d 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_md_sv.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_md', lang = 'sv')
-annotations = pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_md", lang = "sv")
-val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hej från John Snow Labs! ""]
-result_df = nlu.load('sv.explain.md').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_ml_en.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_ml_en.md
index c8c470caefcf..4261fe366170 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_ml_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_ml_en.md
@@ -34,33 +34,7 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline('explain_document_ml', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("explain_document_ml", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.explain').predict(text)
-result_df
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_es.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_es.md
index edcce5d9a5a7..95b955ce51bc 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_es.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_es.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_sm', lang = 'es')
-annotations = pipeline.fullAnnotate(""Hola de John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_sm", lang = "es")
-val result = pipeline.fullAnnotate("Hola de John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hola de John Snow Labs! ""]
-result_df = nlu.load('es.explain').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_no.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_no.md
index 52a43cf866c2..6b300ca302d5 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_no.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_no.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_sm', lang = 'no')
-annotations = pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_sm", lang = "no")
-val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hei fra John Snow Labs! ""]
-result_df = nlu.load('no.explain').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_ru.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_ru.md
index 782cc68a2a9e..b1c0f204de25 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_ru.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_ru.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_sm', lang = 'ru')
-annotations = pipeline.fullAnnotate(""Здравствуйте из Джона Снежных Лабораторий! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_sm", lang = "ru")
-val result = pipeline.fullAnnotate("Здравствуйте из Джона Снежных Лабораторий! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Здравствуйте из Джона Снежных Лабораторий! ""]
-result_df = nlu.load('ru.explain').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_sv.md b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_sv.md
index eb5584612476..04a0d72c777f 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_sv.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-explain_document_sm_sv.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('explain_document_sm', lang = 'sv')
-annotations = pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("explain_document_sm", lang = "sv")
-val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hej från John Snow Labs! ""]
-result_df = nlu.load('sv.explain').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-match_chunks_en.md b/docs/_posts/ahmedlone127/2023-05-24-match_chunks_en.md
index bc4e550333f2..27edbcd4dcba 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-match_chunks_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-match_chunks_en.md
@@ -32,41 +32,7 @@ The pipeline uses regex `
?/
*
+`
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-
-pipeline_local = PretrainedPipeline('match_chunks')
-
-result = pipeline_local.annotate("David visited the restaurant yesterday with his family. He also visited and the day before, but at that time he was alone. David again visited today with his colleagues. He and his friends really liked the food and hoped to visit again tomorrow.")
-
-result['chunk']
-```
-```scala
-
-import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline import com.johnsnowlabs.nlp.SparkNLP
-
-SparkNLP.version()
-val testData = spark.createDataFrame(Seq( (1, "David visited the restaurant yesterday with his family. He also visited and the day before, but at that time he was alone. David again visited today with his colleagues. He and his friends really liked the food and hoped to visit again tomorrow."))).toDF("id", "text")
-
-val pipeline = PretrainedPipeline("match_chunks", lang="en")
-
-val annotation = pipeline.transform(testData)
-
-annotation.show()
-```
-
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("en.match.chunks").predict("""David visited the restaurant yesterday with his family. He also visited and the day before, but at that time he was alone. David again visited today with his colleagues. He and his friends really liked the food and hoped to visit again tomorrow.""")
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-match_datetime_en.md b/docs/_posts/ahmedlone127/2023-05-24-match_datetime_en.md
index 14a0f3958959..3d4f27313209 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-match_datetime_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-match_datetime_en.md
@@ -32,35 +32,7 @@ DateMatcher based on yyyy/MM/dd
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline_local = PretrainedPipeline('match_datetime')
-
-tres = pipeline_local.fullAnnotate(input_list)[0]
-for dte in tres['date']:
- sent = tres['sentence'][int(dte.metadata['sentence'])]
- print (f'text/chunk {sent.result[dte.begin:dte.end+1]} | mapped_date: {dte.result}')
-```
-```scala
-
-import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline import com.johnsnowlabs.nlp.SparkNLP
-SparkNLP.version()
-
-val testData = spark.createDataFrame(Seq( (1, "David visited the restaurant yesterday with his family.
-He also visited and the day before, but at that time he was alone.
-David again visited today with his colleagues.
-He and his friends really liked the food and hoped to visit again tomorrow."))).toDF("id", "text")
-
-val pipeline = PretrainedPipeline("match_datetime", lang="en")
-
-val annotation = pipeline.transform(testData)
-
-annotation.show()
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-match_pattern_en.md b/docs/_posts/ahmedlone127/2023-05-24-match_pattern_en.md
index f6664a3ddd1c..05e23273179e 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-match_pattern_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-match_pattern_en.md
@@ -33,16 +33,7 @@ The match_pattern is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("match_pattern", "en", "clinical/models")
- result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-movies_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-05-24-movies_sentiment_analysis_en.md
index ffc88a8a21c0..1e277044f153 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-movies_sentiment_analysis_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-movies_sentiment_analysis_en.md
@@ -33,16 +33,7 @@ The movies_sentiment_analysis is a pretrained pipeline that we can use to proces
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("movies_sentiment_analysis", "en")
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_lg_en.md b/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_lg_en.md
index c53073ddb80d..b2d21a19e91b 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_lg_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_lg_en.md
@@ -33,25 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("onto_recognize_entities_lg", "en")
-
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-{:.nlu-block}
-```python
-import nlu
-nlu.load("en.ner.onto.lg").predict("""I love johnsnowlabs! """)
-```
-
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_sm_en.md b/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_sm_en.md
index 61c9e4f51088..250716e139ac 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_sm_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-onto_recognize_entities_sm_en.md
@@ -33,35 +33,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('onto_recognize_entities_sm', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("onto_recognize_entities_sm", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.onto.sm').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_bert_en.md b/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_bert_en.md
index b57803f6d35a..6b3629ad27c3 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_bert_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_bert_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('recognize_entities_bert', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("recognize_entities_bert", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner.bert').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_dl_en.md b/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_dl_en.md
index aad937ec1cdd..2706b675fcf0 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_dl_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-recognize_entities_dl_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('recognize_entities_dl', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("recognize_entities_dl", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.ner').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-24-text_cleaning_en.md b/docs/_posts/ahmedlone127/2023-05-24-text_cleaning_en.md
index df3850fb08eb..1fb49f48f295 100644
--- a/docs/_posts/ahmedlone127/2023-05-24-text_cleaning_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-24-text_cleaning_en.md
@@ -33,16 +33,7 @@ The text_cleaning is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-from sparknlp.pretrained import PretrainedPipeline
-pipeline = PretrainedPipeline("text_cleaning", "en")
-result = pipeline.annotate("""I love johnsnowlabs! """)
-```
-
-
{:.model-param}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-albert_base_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-25-albert_base_token_classifier_conll03_pipeline_en.md
index e2e1cc820d93..1a614340b5e4 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-albert_base_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-albert_base_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [albert_base_token_classifier_co
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("albert_base_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("albert_base_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs."))
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-albert_large_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-25-albert_large_token_classifier_conll03_pipeline_en.md
index 8e78af9a3180..218612f0a2d0 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-albert_large_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-albert_large_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [albert_large_token_classifier_c
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("albert_large_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("albert_large_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs."))
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-albert_xlarge_token_classifier_conll03_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-25-albert_xlarge_token_classifier_conll03_pipeline_en.md
index 4ae7fcc69bac..4a76a5ffdcb4 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-albert_xlarge_token_classifier_conll03_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-albert_xlarge_token_classifier_conll03_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [albert_xlarge_token_classifier_
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-pipeline = PretrainedPipeline("albert_xlarge_token_classifier_conll03_pipeline", lang = "en")
-
-pipeline.annotate("My name is John and I work at John Snow Labs.")
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("albert_xlarge_token_classifier_conll03_pipeline", lang = "en")
-pipeline.annotate("My name is John and I work at John Snow Labs."))
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-analyze_sentiment_en.md b/docs/_posts/ahmedlone127/2023-05-25-analyze_sentiment_en.md
index 8bdc4ac6e9d3..0772d9c28e4f 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-analyze_sentiment_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-analyze_sentiment_en.md
@@ -34,39 +34,7 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-
-```python
-
-from sparknlp.pretrained import PretrainedPipeline
-
-pipeline = PretrainedPipeline('analyze_sentiment', lang = 'en')
-
-result = pipeline.fullAnnotate("""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!""")
-
-
-```
-```scala
-
-import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
-val pipeline = new PretrainedPipeline("analyze_sentiment", lang = "en")
-
-val result = pipeline.fullAnnotate("""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!""")
-
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = ["""Demonicus is a movie turned into a video game! I just love the story and the things that goes on in the film.It is a B-film ofcourse but that doesn`t bother one bit because its made just right and the music was rad! Horror and sword fight freaks,buy this movie now!"""]
-result_df = nlu.load('en.classify').predict(text)
-result_df
-
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-analyze_sentimentdl_glove_imdb_en.md b/docs/_posts/ahmedlone127/2023-05-25-analyze_sentimentdl_glove_imdb_en.md
index 2706b7b2ff19..161023da722d 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-analyze_sentimentdl_glove_imdb_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-analyze_sentimentdl_glove_imdb_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('analyze_sentimentdl_glove_imdb', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-
-```
-```scala
-
-val pipeline = new PretrainedPipeline("analyze_sentimentdl_glove_imdb", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.sentiment.glove').predict(text)
-result_df
-
-```
-
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
diff --git a/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_age_news_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_age_news_pipeline_en.md
index e58bd487c8d5..e261c7c911c9 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_age_news_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_age_news_pipeline_en.md
@@ -32,23 +32,7 @@ This pretrained pipeline is built on the top of [bert_sequence_classifier_age_ne
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-news_pipeline = PretrainedPipeline("bert_sequence_classifier_age_news_pipeline", lang = "en")
-
-news_pipeline.annotate("Microsoft has taken its first step into the metaverse.")
-```
-```scala
-
-
-val news_pipeline = new PretrainedPipeline("bert_sequence_classifier_age_news_pipeline", lang = "en")
-news_pipeline.annotate("Microsoft has taken its first step into the metaverse.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_trec_coarse_pipeline_en.md b/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_trec_coarse_pipeline_en.md
index a60580df8324..3bebd8be5a25 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_trec_coarse_pipeline_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-bert_sequence_classifier_trec_coarse_pipeline_en.md
@@ -34,23 +34,7 @@ The TREC dataset for question classification consists of open-domain, fact-based
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-trec_pipeline = PretrainedPipeline("bert_sequence_classifier_trec_coarse_pipeline", lang = "en")
-
-trec_pipeline.annotate("Germany is the largest country in Europe economically.")
-```
-```scala
-
-
-val trec_pipeline = new PretrainedPipeline("bert_sequence_classifier_trec_coarse_pipeline", lang = "en")
-trec_pipeline.annotate("Germany is the largest country in Europe economically.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_dutch_udlassy_ner_pipeline_nl.md b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_dutch_udlassy_ner_pipeline_nl.md
index 334a754c8aad..0a5d83e6f0cc 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_dutch_udlassy_ner_pipeline_nl.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_dutch_udlassy_ner_pipeline_nl.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on the top of [bert_token_classifier_dutch_udl
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("bert_token_classifier_dutch_udlassy_ner_pipeline", lang = "nl")
-
-pipeline.annotate("Mijn naam is Peter Fergusson. Ik woon sinds oktober 2011 in New York en werk 5 jaar bij Tesla Motor.")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("bert_token_classifier_dutch_udlassy_ner_pipeline", lang = "nl")
-pipeline.annotate("Mijn naam is Peter Fergusson. Ik woon sinds oktober 2011 in New York en werk 5 jaar bij Tesla Motor.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_hi_en_ner_pipeline_hi.md b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_hi_en_ner_pipeline_hi.md
index cec6fc28e13e..9658e8185191 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_hi_en_ner_pipeline_hi.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_hi_en_ner_pipeline_hi.md
@@ -32,21 +32,7 @@ This pretrained pipeline is built on [bert_token_classifier_hi_en_ner](https://n
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-pipeline = PretrainedPipeline("bert_token_classifier_hi_en_ner_pipeline", lang = "hi")
-
-pipeline.annotate("रिलायंस इंडस्ट्रीज़ लिमिटेड (Reliance Industries Limited) एक भारतीय संगुटिका नियंत्रक कंपनी है, जिसका मुख्यालय मुंबई, महाराष्ट्र (Maharashtra) में स्थित है।रतन नवल टाटा (28 दिसंबर 1937, को मुम्बई (Mumbai), में जन्मे) टाटा समुह के वर्तमान अध्यक्ष, जो भारत की सबसे बड़ी व्यापारिक समूह है, जिसकी स्थापना जमशेदजी टाटा ने की और उनके परिवार की पीढियों ने इसका विस्तार किया और इसे दृढ़ बनाया।")
-```
-```scala
-
-val pipeline = new PretrainedPipeline("bert_token_classifier_hi_en_ner_pipeline", lang = "hi")
-val pipeline.annotate("रिलायंस इंडस्ट्रीज़ लिमिटेड (Reliance Industries Limited) एक भारतीय संगुटिका नियंत्रक कंपनी है, जिसका मुख्यालय मुंबई, महाराष्ट्र (Maharashtra) में स्थित है।रतन नवल टाटा (28 दिसंबर 1937, को मुम्बई (Mumbai), में जन्मे) टाटा समुह के वर्तमान अध्यक्ष, जो भारत की सबसे बड़ी व्यापारिक समूह है, जिसकी स्थापना जमशेदजी टाटा ने की और उनके परिवार की पीढियों ने इसका विस्तार किया और इसे दृढ़ बनाया।")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_scandi_ner_pipeline_xx.md b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_scandi_ner_pipeline_xx.md
index 1d374a3449d6..d62223e03a0a 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_scandi_ner_pipeline_xx.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-bert_token_classifier_scandi_ner_pipeline_xx.md
@@ -32,20 +32,7 @@ This pretrained pipeline is built on [bert_token_classifier_scandi_ner](https://
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-scandiner_pipeline = PretrainedPipeline("bert_token_classifier_scandi_ner_pipeline", lang = "xx")
-scandiner_pipeline.annotate("Hans er professor ved Statens Universitet, som ligger i København, og han er en rigtig københavner.")
-```
-```scala
-
-val scandiner_pipeline = new PretrainedPipeline("bert_token_classifier_scandi_ner_pipeline", lang = "xx")
-
-val scandiner_pipeline.annotate("Hans er professor ved Statens Universitet, som ligger i København, og han er en rigtig københavner.")
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-clean_pattern_en.md b/docs/_posts/ahmedlone127/2023-05-25-clean_pattern_en.md
index f8f32369a4ed..3792288064fa 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-clean_pattern_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-clean_pattern_en.md
@@ -34,33 +34,7 @@ The clean_pattern is a pretrained pipeline that we can use to process text with
## How to use
-
-{% include programmingLanguageSelectScalaPythonNLU.html %}
-```python
-
-
-from sparknlp.pretrained import PretrainedPipelinein
-pipeline = PretrainedPipeline('clean_pattern', lang = 'en')
-annotations = pipeline.fullAnnotate(""Hello from John Snow Labs ! "")[0]
-annotations.keys()
-```
-```scala
-
-
-val pipeline = new PretrainedPipeline("clean_pattern", lang = "en")
-val result = pipeline.fullAnnotate("Hello from John Snow Labs ! ")(0)
-```
-
-{:.nlu-block}
-```python
-
-import nlu
-text = [""Hello from John Snow Labs ! ""]
-result_df = nlu.load('en.clean.pattern').predict(text)
-result_df
-```
-
{% include programmingLanguageSelectScalaPythonNLU.html %}
diff --git a/docs/_posts/ahmedlone127/2023-05-25-clean_stop_en.md b/docs/_posts/ahmedlone127/2023-05-25-clean_stop_en.md
index 0f2a945ce528..23a7966fc4f1 100644
--- a/docs/_posts/ahmedlone127/2023-05-25-clean_stop_en.md
+++ b/docs/_posts/ahmedlone127/2023-05-25-clean_stop_en.md
@@ -34,35 +34,8 @@ It performs most of the common text processing tasks on your dataframe
## How to use
-