BUGFIX NMH-171: Fix multiselect for existing opensource docs [skip-test]

docs/_posts/ahmedlone127/2023-04-20-distilbert_base_zero_shot_classifier_turkish_cased_allnli_tr.md

@@ -8,7 +8,7 @@ tags: [distilbert, zero_shot, turkish, tr, base, open_source, tensorflow]
 task: Zero-Shot Classification
 language: tr
 edition: Spark NLP 4.4.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: DistilBertForZeroShotClassification
@@ -32,8 +32,8 @@ We used TFDistilBertForSequenceClassification to train this model and used Disti
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_allnli_tr_4.4.1_3.2_1682016415236.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_allnli_tr_4.4.1_3.2_1682016415236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_allnli_tr_4.4.1_3.0_1682016415236.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_allnli_tr_4.4.1_3.0_1682016415236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -101,4 +101,4 @@ val result = pipeline.fit(example).transform(example)
 |Output Labels:|[multi_class]|
 |Language:|tr|
 |Size:|254.3 MB|
-|Case sensitive:|true|
+|Case sensitive:|true|

docs/_posts/ahmedlone127/2023-04-20-distilbert_base_zero_shot_classifier_turkish_cased_multinli_tr.md

@@ -8,7 +8,7 @@ tags: [zero_shot, tr, turkish, distilbert, base, cased, open_source, tensorflow]
 task: Zero-Shot Classification
 language: tr
 edition: Spark NLP 4.4.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: DistilBertForZeroShotClassification
@@ -32,8 +32,8 @@ We used TFDistilBertForSequenceClassification to train this model and used Disti
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_multinli_tr_4.4.1_3.2_1682014879417.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_multinli_tr_4.4.1_3.2_1682014879417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_multinli_tr_4.4.1_3.0_1682014879417.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_multinli_tr_4.4.1_3.0_1682014879417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/ahmedlone127/2023-04-20-distilbert_base_zero_shot_classifier_turkish_cased_snli_tr.md

@@ -8,7 +8,7 @@ tags: [zero_shot, tr, turkish, distilbert, base, cased, open_source, tensorflow]
 task: Zero-Shot Classification
 language: tr
 edition: Spark NLP 4.4.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: DistilBertForZeroShotClassification
@@ -32,8 +32,8 @@ We used TFDistilBertForSequenceClassification to train this model and used Disti
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_snli_tr_4.4.1_3.2_1682015986268.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_snli_tr_4.4.1_3.2_1682015986268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_snli_tr_4.4.1_3.0_1682015986268.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_turkish_cased_snli_tr_4.4.1_3.0_1682015986268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/ahmedlone127/2023-04-20-distilbert_base_zero_shot_classifier_uncased_mnli_en.md

@@ -8,7 +8,7 @@ tags: [zero_shot, en, mnli, distilbert, english, base, open_source, tensorflow]
 task: Zero-Shot Classification
 language: en
 edition: Spark NLP 4.4.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: DistilBertForZeroShotClassification
@@ -32,8 +32,8 @@ We used TFDistilBertForSequenceClassification to train this model and used Disti
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.2_1682015669457.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.2_1682015669457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.0_1682015669457.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.0_1682015669457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -102,4 +102,4 @@ val result = pipeline.fit(example).transform(example)
 |Output Labels:|[multi_class]|
 |Language:|en|
 |Size:|249.7 MB|
-|Case sensitive:|true|
+|Case sensitive:|true|

docs/_posts/ahmedlone127/distilbert_base_zero_shot_classifier_turkish_cased_snli_en.md

@@ -8,7 +8,7 @@ tags: [zero_shot, mnli, distilbert, base, english, en, oepn_source, open_source,
 task: Zero-Shot Classification
 language: en
 edition: Spark NLP 4.4.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: DistilBertForZeroShotClassification
@@ -32,8 +32,8 @@ We used TFDistilBertForSequenceClassification to train this model and used Disti
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.2_1681949033641.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.2_1681949033641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.0_1681949033641.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_zero_shot_classifier_uncased_mnli_en_4.4.1_3.0_1681949033641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gokhanturer/2022-10-11-beto_sentiment_es.md

@@ -8,7 +8,7 @@ tags: [beto, sentiment, bert, es, open_source]
 task: Text Classification
 language: es
 edition: Spark NLP 4.2.0
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 annotator: BertForSequenceClassification
 article_header:
@@ -27,8 +27,8 @@ Model trained with TASS 2020 corpus (around ~5k tweets) of several dialects of S
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_es_4.2.0_3.2_1665504729919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_es_4.2.0_3.2_1665504729919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_es_4.2.0_3.0_1665504729919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_es_4.2.0_3.0_1665504729919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -94,4 +94,4 @@ result.select("text", "class.result").show()
 
 ## References
 
-https://github.com/finiteautomata/pysentimiento/
+https://github.com/finiteautomata/pysentimiento/

docs/_posts/josejuanmartinez/2022-10-20-legal_longformer_base_en.md

@@ -9,7 +9,7 @@ task: Embeddings
 language: en
 nav_key: models
 edition: Spark NLP 4.2.1
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 annotator: LongformerEmbeddings
 article_header:
@@ -45,8 +45,8 @@ AI2 is a non-profit institute with the mission to contribute to humanity through
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_longformer_base_en_4.2.1_3.2_1666282710556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_longformer_base_en_4.2.1_3.2_1666282710556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_longformer_base_en_4.2.1_3.0_1666282710556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_longformer_base_en_4.2.1_3.0_1666282710556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -89,4 +89,4 @@ val embeddings = LongformerEmbeddings.pretrained("legal_longformer_base", "en")
 
 ## References
 
-https://huggingface.co/saibo/legal-longformer-base-4096
+https://huggingface.co/saibo/legal-longformer-base-4096

docs/_posts/maziyarpanahi/2022-11-28-t5_grammar_error_corrector_en.md

@@ -9,7 +9,7 @@ task: Text Generation
 language: en
 nav_key: models
 edition: Spark NLP 4.0.0
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 annotator: T5Transformer
 article_header:
@@ -28,8 +28,8 @@ This is a text-to-text model fine-tuned to correct grammatical errors when the t
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/public/T5_LINGUISTIC/){:.button.button-orange}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/T5_LINGUISTIC.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t5_grammar_error_corrector_en_4.0.0_3.2_1669638224299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t5_grammar_error_corrector_en_4.0.0_3.2_1669638224299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t5_grammar_error_corrector_en_4.0.0_3.0_1669638224299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t5_grammar_error_corrector_en_4.0.0_3.0_1669638224299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -118,4 +118,4 @@ nlu.load("en.t5.grammar_error_corrector").predict("""He are moving here.""")
 ## References
 
 Model originally from the transformers library:
-https://huggingface.co/prithivida/grammar_error_correcter_v1
+https://huggingface.co/prithivida/grammar_error_correcter_v1

docs/_posts/maziyarpanahi/2023-02-08-camembert_base_qa_fquad_fr.md

@@ -8,7 +8,7 @@ tags: [fr, french, question_answering, camembert, open_source, tensorflow]
 task: Question Answering
 language: fr
 edition: Spark NLP 4.3.0
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 recommended: true
 engine: tensorflow
@@ -33,8 +33,8 @@ Pretrained CamemBertForQuestionAnswering model, adapted from Hugging Face and cu
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_qa_fquad_fr_4.3.0_3.2_1675865521345.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_qa_fquad_fr_4.3.0_3.2_1675865521345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_qa_fquad_fr_4.3.0_3.0_1675865521345.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_qa_fquad_fr_4.3.0_3.0_1675865521345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -98,4 +98,4 @@ https://huggingface.co/etalab-ia/camembert-base-squadFR-fquad-piaf
 
 ```bash
 {"f1": 80.61, "exact_match": 59.54}
-```
+```

docs/_posts/maziyarpanahi/2023-02-08-zero_shot_ner_roberta_en.md

@@ -9,7 +9,7 @@ task: Named Entity Recognition
 language: en
 nav_key: models
 edition: Spark NLP 4.3.0
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: ZeroShotNerModel
@@ -29,8 +29,8 @@ This model is trained with Zero-Shot Named Entity Recognition (NER) approach and
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zero_shot_ner_roberta_en_4.3.0_3.2_1675890474068.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zero_shot_ner_roberta_en_4.3.0_3.2_1675890474068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zero_shot_ner_roberta_en_4.3.0_3.0_1675890474068.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zero_shot_ner_roberta_en_4.3.0_3.0_1675890474068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -176,4 +176,4 @@ val result = pipeline.fit(data).transform(data)
 |Language:|en|
 |Size:|463.8 MB|
 |Case sensitive:|true|
-|Max sentence length:|512|
+|Max sentence length:|512|

docs/_posts/maziyarpanahi/2023-04-09-bart_large_cnn_en.md

@@ -8,7 +8,7 @@ tags: [bart, summarization, cnn, text_to_text, en, english, open_source, tensorf
 task: Summarization
 language: en
 edition: Spark NLP 4.4.0
-spark_version: [3.2, 3.0]
+spark_version: 3.0
 supported: true
 engine: tensorflow
 annotator: BartTransformer
@@ -42,8 +42,8 @@ You can use this model for text summarization.
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bart_large_cnn_en_4.4.0_3.2_1681068423111.zip){:.button.button-orange}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bart_large_cnn_en_4.4.0_3.2_1681068423111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bart_large_cnn_en_4.4.0_3.0_1681068423111.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bart_large_cnn_en_4.4.0_3.0_1681068423111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 
@@ -83,4 +83,4 @@ val bart = BartTransformer.pretrained("bart_large_cnn")
 
 ## References
 
-https://huggingface.co/datasets/cnn_dailymail
+https://huggingface.co/datasets/cnn_dailymail