2023-10-25-bert_ft_qqp_79_jeevesh8_en (#14040)

* Add model 2023-10-25-bert_ft_qqp_68_jeevesh8_en * Add model 2023-10-25-bert_base_uncased_sst_2_32_13_30_en * Add model 2023-10-25-boss_sentiment_bert_base_uncased_en * Add model 2023-10-25-bert_mini_finetuned_sst2_en * Add model 2023-10-25-bert_ft_qqp_95_jeevesh8_en * Add model 2023-10-25-bert_tiny_finetuned_mnli_en * Add model 2023-10-25-bert_base_dutch_cased_finetuned_dt_en * Add model 2023-10-25-bert_tiny_finetuned_mrpc_en * Add model 2023-10-25-goog_bert_ft_cola_46_en * Add model 2023-10-25-bert_tiny_finetuned_qnli_en * Add model 2023-10-25-dk_emotion_bert_class_en * Add model 2023-10-25-goog_bert_ft_cola_47_en * Add model 2023-10-25-bert_tiny_finetuned_sst2_en * Add model 2023-10-25-dk_emotion_bert_2_en * Add model 2023-10-25-goog_bert_ft_cola_71_en * Add model 2023-10-25-bert_base_uncased_finetuned_iemocap_uptuna2_en * Add model 2023-10-25-goog_bert_ft_cola_73_en * Add model 2023-10-25-bert_classification_5ksamples_en * Add model 2023-10-25-bert_classifier_ara_multiclass_news_ar * Add model 2023-10-25-tonely_bert_en * Add model 2023-10-25-bert_base_uncased_sst_2_64_13_30_en * Add model 2023-10-25-bert_ft_cola_81_en * Add model 2023-10-25-bert_classification_10ksamples_en * Add model 2023-10-25-fine_tuned_indonli_augmented_with_indobert_large_p2_muhammadravi251001_en * Add model 2023-10-25-goog_bert_ft_cola_72_en * Add model 2023-10-25-bert_ft_cola_82_en * Add model 2023-10-25-bert_base_uncased_ag_news_finetuned_dwnews_categories_en * Add model 2023-10-25-rubert_large_emotion_russian_cedr_m7_en * Add model 2023-10-25-mengzi_bert_base_fin_ssec_en * Add model 2023-10-25-ogbv_gender_bert_hindi_english_hasoc20a_fin_en * Add model 2023-10-25-incivility_v2_final_tulio_chilean_spanish_bert_en * Add model 2023-10-25-bert_ft_cola_84_en * Add model 2023-10-25-goog_bert_ft_cola_63_en * Add model 2023-10-25-goog_bert_ft_cola_44_en * Add model 2023-10-25-goog_bert_ft_cola_14_en * Add model 2023-10-25-hindi_const21_hibert_final_en * Add model 2023-10-25-goog_bert_ft_cola_68_en * Add model 2023-10-25-goog_bert_ft_cola_69_en * Add model 2023-10-25-goog_bert_ft_cola_43_en * Add model 2023-10-25-bert_large_uncased_sst_2_16_13_30_en * Add model 2023-10-25-bert_classifier_bert_base_german_cased_gnad10_de * Add model 2023-10-25-bert_finetuned_mrpc_tiansiyuan_en * Add model 2023-10-25-bert_ft_cola_87_en * Add model 2023-10-25-goog_bert_ft_cola_52_en * Add model 2023-10-25-bert_tiny_finetuned_qqp_en * Add model 2023-10-25-goog_bert_ft_cola_53_en * Add model 2023-10-25-bert_base_uncased_sst_2_16_100_en * Add model 2023-10-25-bert_ft_cola_88_en * Add model 2023-10-25-goog_bert_ft_cola_39_en * Add model 2023-10-25-goog_bert_ft_cola_60_en * Add model 2023-10-25-bert_mixed_en * Add model 2023-10-25-bert_ft_qqp_83_jeevesh8_en * Add model 2023-10-25-bert_base_uncased_finetuned_question_v_statement_en * Add model 2023-10-25-bert_finetuning_test_milian_en * Add model 2023-10-25-baseline_bert_large_cased_epoch3_batch4_lr2e_05_w0_01_en * Add model 2023-10-25-goog_bert_ft_cola_36_en * Add model 2023-10-25-goog_bert_ft_cola_48_en * Add model 2023-10-25-bert_ft_qqp_97_jeevesh8_en * Add model 2023-10-25-bert_ft_qqp_35_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_19_en * Add model 2023-10-25-bert_finetunning_test_jovenpai_en * Add model 2023-10-25-bert_ft_cola_89_en * Add model 2023-10-25-bert_ft_cola_83_en * Add model 2023-10-25-goog_bert_ft_cola_75_en * Add model 2023-10-25-bert_sequence_classifier_base_uncased_sst2_en * Add model 2023-10-25-bert_large_uncased_sst_2_64_13_30_en * Add model 2023-10-25-tiny_bert_mrpc_distilled_en * Add model 2023-10-25-fine_tuned_indonli_translated_with_indobert_base_uncased_muhammadravi251001_en * Add model 2023-10-25-bert_ft_qqp_64_jeevesh8_en * Add model 2023-10-25-bert_ft_qqp_31_jeevesh8_en * Add model 2023-10-25-bert_base_arabic_camelbert_msa_sixteenth_xnli_finetuned_sarahadnan_en * Add model 2023-10-25-goog_bert_ft_cola_56_en * Add model 2023-10-25-std_0pnt2_bert_ft_cola_16_en * Add model 2023-10-25-bert_mini_finetuned_mnli_en * Add model 2023-10-25-bert_base_uncased_mnli_sparse_70_unstructured_en * Add model 2023-10-25-bert_ft_cola_90_en * Add model 2023-10-25-finetuned_bert_mrpc_ndugar_en * Add model 2023-10-25-bert_ft_qqp_92_jeevesh8_en * Add model 2023-10-25-bert_ft_qqp_88_jeevesh8_en * Add model 2023-10-25-solved_finbert_tone_en * Add model 2023-10-25-deprem_berturk_binary_tr * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_open_ssec_f1_v2_en * Add model 2023-10-25-bertabaporu_portuguese_irony_en * Add model 2023-10-25-bert_sequence_classifier_persian_farsi_base_uncased_sentiment_snappfood_fa * Add model 2023-10-25-goog_bert_ft_cola_51_en * Add model 2023-10-25-bert_base_uncased_sst_2_32_13_en * Add model 2023-10-25-fine_tuned_indonli_translated_with_indobert_large_p2_en * Add model 2023-10-25-goog_bert_ft_cola_37_en * Add model 2023-10-25-std_0pnt2_bert_ft_cola_62_en * Add model 2023-10-25-bert_ft_cola_91_en * Add model 2023-10-25-sentiment_hts2_hubert_hungarian_hu * Add model 2023-10-25-bert_ft_qqp_36_jeevesh8_en * Add model 2023-10-25-bert_wiki_comments_finetuned_en * Add model 2023-10-25-norsk_bert_fintuned_en * Add model 2023-10-25-bert_sim_pair_en * Add model 2023-10-25-bert_ft_qqp_62_jeevesh8_en * Add model 2023-10-25-bert_base_uncased_nisadibipolar_en * Add model 2023-10-25-samyarn_bert_base_multilingual_cased_xx * Add model 2023-10-25-bert_italian_sentiment_en * Add model 2023-10-25-bert_ft_cola_92_en * Add model 2023-10-25-fine_tuned_koreanindonli_kornli_with_bert_kor_base_en * Add model 2023-10-25-bert_mini_finetuned_qnli_en * Add model 2023-10-25-bert_ft_qqp_94_jeevesh8_en * Add model 2023-10-25-sentiment_hts5_hubert_hungarian_hu * Add model 2023-10-25-bert_ft_qqp_77_jeevesh8_en * Add model 2023-10-25-bert_ft_qqp_38_jeevesh8_en * Add model 2023-10-25-bert_tweets_semeval_unclean_en * Add model 2023-10-25-bert_ft_cola_80_en * Add model 2023-10-25-goog_bert_ft_cola_30_en * Add model 2023-10-25-bert_ft_qqp_75_jeevesh8_en * Add model 2023-10-25-fine_tuned_indonli_basic_with_indobert_base_uncased_afaji_en * Add model 2023-10-25-esg_bert_sector_classifier_en * Add model 2023-10-25-bert_mini_finetuned_stsb_en * Add model 2023-10-25-bert_large_uncased_sst_2_16_13_smoothed_en * Add model 2023-10-25-goog_bert_ft_cola_24_en * Add model 2023-10-25-bert_ft_cola_93_en * Add model 2023-10-25-bert_ft_qqp_90_jeevesh8_en * Add model 2023-10-25-bert_mini_finetuned_qqp_en * Add model 2023-10-25-goog_bert_ft_cola_33_en * Add model 2023-10-25-fine_tuned_indonli_augmented_with_indobert_large_p2_afaji_en * Add model 2023-10-25-bert_ft_cola_85_en * Add model 2023-10-25-bert_large_uncased_hoax_classifier_v1_en * Add model 2023-10-25-roberta_fake_real_en * Add model 2023-10-25-bert_tiny_finetuned_stsb_en * Add model 2023-10-25-bert_ft_qqp_86_jeevesh8_en * Add model 2023-10-25-bert_sequence_classifier_persian_farsi_base_uncased_sentiment_deepsentipers_multi_fa * Add model 2023-10-25-bert_base_uncased_reviews_4_en * Add model 2023-10-25-goog_bert_ft_cola_55_en * Add model 2023-10-25-fine_tuned_indonli_basic_with_indobert_large_p2_muhammadravi251001_en * Add model 2023-10-25-bert_ft_cola_94_en * Add model 2023-10-25-bert_large_uncased_sst_2_32_13_30_en * Add model 2023-10-25-bert_ft_qqp_42_jeevesh8_en * Add model 2023-10-25-bert_italian_irony_en * Add model 2023-10-25-bert_large_uncased_cola_b_en * Add model 2023-10-25-bert_ft_qqp_96_jeevesh8_en * Add model 2023-10-25-bert_base_mdoc_bm25_en * Add model 2023-10-25-bert_ft_cola_86_en * Add model 2023-10-25-bert_ft_qqp_84_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_9_en * Add model 2023-10-25-bert_base_multilingual_cased_mrpc_glue_xx * Add model 2023-10-25-goog_bert_ft_cola_54_en * Add model 2023-10-25-bert_finetuned_winogrande_en * Add model 2023-10-25-bert_fakenews_en * Add model 2023-10-25-bert_ft_cola_95_en * Add model 2023-10-25-goog_bert_ft_cola_57_en * Add model 2023-10-25-fine_tuned_indonli_augmented_with_indobert_base_uncased_muhammadravi251001_en * Add model 2023-10-25-bert_base_mdoc_hdct_en * Add model 2023-10-25-bert_ft_qqp_98_jeevesh8_en * Add model 2023-10-25-bert_sequce_classifier_paraphrase_en * Add model 2023-10-25-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_open_ssec_f1_v22_en * Add model 2023-10-25-bert_sequence_classifier_persian_farsi_base_uncased_sentiment_digikala_fa * Add model 2023-10-25-fine_tuned_indonli_basic_with_indobert_base_uncased_muhammadravi251001_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_1_en * Add model 2023-10-25-goog_bert_ft_cola_40_en * Add model 2023-10-25-goog_bert_ft_cola_50_en * Add model 2023-10-25-goog_bert_ft_cola_12_en * Add model 2023-10-25-bert_base_uncased_finetuned_hateful_meme_en * Add model 2023-10-25-bert_ft_cola_96_en * Add model 2023-10-25-bert_ft_qqp_72_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_22_en * Add model 2023-10-25-bert_wikipedia_sst2_en * Add model 2023-10-25-goog_bert_ft_cola_26_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_2_en * Add model 2023-10-25-bert_deepfake_bulgarian_multiclass_bg * Add model 2023-10-25-bert_ft_qqp_52_jeevesh8_en * Add model 2023-10-25-bert_ft_qqp_56_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_49_en * Add model 2023-10-25-goog_bert_ft_cola_64_en * Add model 2023-10-25-indobertnewstest_rizalmilyardi_en * Add model 2023-10-25-a01_suicide_bert_huggingface_finetune_en * Add model 2023-10-25-bert_base_arabic_camelbert_msa_finetuned_arabic_dialect_identification_model_1_ar * Add model 2023-10-25-bert_base_uncased_sst_2_16_13_30_en * Add model 2023-10-25-bert_ft_cola_97_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_3_en * Add model 2023-10-25-bert_ft_qqp_45_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_32_en * Add model 2023-10-25-goog_bert_ft_cola_74_en * Add model 2023-10-25-norbert2_sentiment_norec_2_en * Add model 2023-10-25-biobert_finetuned_genetic_mutation_en * Add model 2023-10-25-bert_sequence_classifier_paraphrase_pt * Add model 2023-10-25-bert_sim_doc_en * Add model 2023-10-25-goog_bert_ft_cola_70_en * Add model 2023-10-25-goog_bert_ft_cola_42_en * Add model 2023-10-25-bert_finetuning_test_itcastai_en * Add model 2023-10-25-bert_ft_cola_98_en * Add model 2023-10-25-goog_bert_ft_cola_18_en * Add model 2023-10-25-baseline_bert_base_cased_epoch3_batch4_lr2e_05_w0_01_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_4_en * Add model 2023-10-25-bert_ft_qqp_99_jeevesh8_en * Add model 2023-10-25-bert_classifier_dehate_mono_indonesian_en * Add model 2023-10-25-bert_italian_hate_speech_en * Add model 2023-10-25-bert_classifier_base_uncased_qnli_en * Add model 2023-10-25-goog_bert_ft_cola_21_en * Add model 2023-10-25-goog_bert_ft_cola_31_en * Add model 2023-10-25-goog_bert_ft_cola_67_en * Add model 2023-10-25-a02_suicide_bert_huggingface_finetune_en * Add model 2023-10-25-bert_classifier_finbert_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_5_en * Add model 2023-10-25-bert_ft_cola_99_en * Add model 2023-10-25-bert_ft_qqp_82_jeevesh8_en * Add model 2023-10-25-goog_bert_ft_cola_3_en * Add model 2023-10-25-bert_base_chinese_finetuned_binary_best_en * Add model 2023-10-25-bert_classification_1500samples_en * Add model 2023-10-25-goog_bert_ft_cola_35_en * Add model 2023-10-25-tiny_bert_sst2_distilled_kushaljoseph_en * Add model 2023-10-25-goog_bert_ft_cola_65_en * Add model 2023-10-25-chinese_roberta_wwm_ext_finetuned_binary_en * Add model 2023-10-25-goog_bert_ft_cola_58_en * Add model 2023-10-25-norbert2_sentiment_norec_4_en * Add model 2023-10-25-bert_classifier_russian_base_srl_ru * Add model 2023-10-25-goog_bert_ft_cola_59_en * Add model 2023-10-25-covid_twitter_bert_v2_mnli_nli_sts_crossencoder_covid_hera_en * Add model 2023-10-25-norbert2_sentiment_norec_6_en * Add model 2023-10-25-legal_bert_tpb_clause_class_en * Add model 2023-10-25-goog_bert_ft_cola_61_en * Add model 2023-10-25-twitter_disaster_bert_large_en * Add model 2023-10-25-goog_bert_ft_cola_62_en * Add model 2023-10-25-bert_large_uncased_mnli_ofirzaf_en * Add model 2023-10-25-norbert2_sentiment_norec_7_en * Add model 2023-10-25-bert_classifier_riad_finetuned_mrpc_en * Add model 2023-10-25-bert_base_cased_finetuned_cola_sreyang_nvidia_en * Add model 2023-10-25-bert_base_uncased_research_articles_multilabel_en * Add model 2023-10-25-goog_bert_ft_cola_66_en * Add model 2023-10-25-mini_bert_distilled_en * Add model 2023-10-25-bert_fom_job_description_assignment_en * Add model 2023-10-25-goog_bert_ft_cola_76_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_6_en * Add model 2023-10-25-finbert_finetuned_fg_single_sentence_news_weighted_en * Add model 2023-10-25-bert_cl_cf_1700_en * Add model 2023-10-25-goog_bert_ft_cola_77_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_7_en * Add model 2023-10-25-bert_classifier_prot_bfd_localization_en * Add model 2023-10-25-bert_cl_g_1700_en * Add model 2023-10-25-bert_sentence_classifier_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_8_en * Add model 2023-10-25-goog_bert_ft_cola_81_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_9_en * Add model 2023-10-25-rubert_rusentitweet_sismetanin_en * Add model 2023-10-25-goog_bert_ft_cola_91_en * Add model 2023-10-25-norbert2_sentiment_norec_8_en * Add model 2023-10-25-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_10_en * Add model 2023-10-25-goog_bert_ft_cola_89_en * Add model 2023-10-25-bert_base_uncased_random_weights_s42_en * Add model 2023-10-25-norbert2_sentiment_norec_9_en * Add model 2023-10-25-bert_base_uncased_finetuned_cola_ruizhou_en * Add model 2023-10-25-fine_tuned_koreanindonli_kornli_with_bert_base_en * Add model 2023-10-25-goog_bert_ft_cola_82_en * Add model 2023-10-25-finbert_fls_en * Add model 2023-10-25-bert_base_uncased_finetuned_mrpc_ruizhou_en * Add model 2023-10-25-bert_cnn_news_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
JohnSnowLabs · Oct 25, 2023 · 824a221 · 824a221
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diff --git a/docs/_posts/ahmedlone127/2023-10-25-a01_suicide_bert_huggingface_finetune_en.md b/docs/_posts/ahmedlone127/2023-10-25-a01_suicide_bert_huggingface_finetune_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English a01_suicide_bert_huggingface_finetune BertForSequenceClassification from Ariffnaz
+author: John Snow Labs
+name: a01_suicide_bert_huggingface_finetune
+date: 2023-10-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a01_suicide_bert_huggingface_finetune` is a English model originally trained by Ariffnaz.
+
+{:.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/a01_suicide_bert_huggingface_finetune_en_5.1.4_3.4_1698231600777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a01_suicide_bert_huggingface_finetune_en_5.1.4_3.4_1698231600777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+tokenizer = Tokenizer()\
+    .setInputCols("document")\
+    .setOutputCol("token")  
+
+sequenceClassifier = BertForSequenceClassification.pretrained("a01_suicide_bert_huggingface_finetune","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("a01_suicide_bert_huggingface_finetune","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|a01_suicide_bert_huggingface_finetune|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ariffnaz/a01-suicide-bert-huggingface-finetune
diff --git a/docs/_posts/ahmedlone127/2023-10-25-a02_suicide_bert_huggingface_finetune_en.md b/docs/_posts/ahmedlone127/2023-10-25-a02_suicide_bert_huggingface_finetune_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English a02_suicide_bert_huggingface_finetune BertForSequenceClassification from Ariffnaz
+author: John Snow Labs
+name: a02_suicide_bert_huggingface_finetune
+date: 2023-10-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a02_suicide_bert_huggingface_finetune` is a English model originally trained by Ariffnaz.
+
+{:.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/a02_suicide_bert_huggingface_finetune_en_5.1.4_3.4_1698233704009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a02_suicide_bert_huggingface_finetune_en_5.1.4_3.4_1698233704009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+tokenizer = Tokenizer()\
+    .setInputCols("document")\
+    .setOutputCol("token")  
+
+sequenceClassifier = BertForSequenceClassification.pretrained("a02_suicide_bert_huggingface_finetune","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("a02_suicide_bert_huggingface_finetune","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|a02_suicide_bert_huggingface_finetune|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ariffnaz/a02-suicide-bert-huggingface-finetune
diff --git a/docs/_posts/ahmedlone127/2023-10-25-ag_news_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-10-25-ag_news_bert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ag_news_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: ag_news_bert_base_uncased
+date: 2023-10-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.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/ag_news_bert_base_uncased_en_5.1.4_3.4_1698221722413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_bert_base_uncased_en_5.1.4_3.4_1698221722413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+tokenizer = Tokenizer()\
+    .setInputCols("document")\
+    .setOutputCol("token")  
+
+sequenceClassifier = BertForSequenceClassification.pretrained("ag_news_bert_base_uncased","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("ag_news_bert_base_uncased","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/ag-news-bert-base-uncased
diff --git a/.../_posts/ahmedlone127/2023-10-25-autotrain_bert_wikipedia_sst_2_1034235513_en.md b/.../_posts/ahmedlone127/2023-10-25-autotrain_bert_wikipedia_sst_2_1034235513_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_bert_wikipedia_sst_2_1034235513 BertForSequenceClassification from deepesh0x
+author: John Snow Labs
+name: autotrain_bert_wikipedia_sst_2_1034235513
+date: 2023-10-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bert_wikipedia_sst_2_1034235513` is a English model originally trained by deepesh0x.
+
+{:.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/autotrain_bert_wikipedia_sst_2_1034235513_en_5.1.4_3.4_1698212254160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bert_wikipedia_sst_2_1034235513_en_5.1.4_3.4_1698212254160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+tokenizer = Tokenizer()\
+    .setInputCols("document")\
+    .setOutputCol("token")  
+
+sequenceClassifier = BertForSequenceClassification.pretrained("autotrain_bert_wikipedia_sst_2_1034235513","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("autotrain_bert_wikipedia_sst_2_1034235513","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bert_wikipedia_sst_2_1034235513|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/deepesh0x/autotrain-bert_wikipedia_sst_2-1034235513