2023-10-27-bert_classifier_tiny_sst2_1_mobile_2_distillation_en (#14046)

* Add model 2023-11-01-rubert_tiny2_russian_go_emotions_ru * Add model 2023-11-01-bert_sequence_classifier_base_turkish_sentiment_cased_tr * Add model 2023-11-01-bert_sequence_classifier_turkish_text_classification_tr * Add model 2023-11-01-finetuned_yelp_donlapark_en * Add model 2023-11-01-electra_classifier_korean_small_finetuned_sentiment_ko * Add model 2023-11-01-bert_sequence_classifier_pred_timeperiod_zh * Add model 2023-11-01-bert_sequence_classifier_electricidad_base_finetuned_sst2_en * Add model 2023-11-01-bertimbau_base_finetuned_brazilian_court_decisions_bt16_ep15_pt * Add model 2023-11-01-nlp_qual_q3i_en * Add model 2023-11-01-news_category_classification_turkish_tr * Add model 2023-11-01-bert_base_uncased_sst_2_en * Add model 2023-11-01-electra_classifier_korean_hatespeech_ko * Add model 2023-11-01-bert_sequence_classifier_poem_qafiyah_detection_ar * Add model 2023-11-01-russian_inappropriate_messages_ru * Add model 2023-11-01-bert_base_uncased_wnli_en * Add model 2023-11-01-electra_classifier_korean_hatespeech_multilabel_ko * Add model 2023-11-01-electra_classifier_turkish_sentiment_analysis_tr * Add model 2023-11-01-bert_sequence_classifier_toxicity_ru * Add model 2023-11-01-bert_base_uncased_yahoo_answers_topics_en * Add model 2023-11-01-minilm_l6_h384_uncased_sst2_en * Add model 2023-11-01-malay_marco_tinybert_l_2_v2_en * Add model 2023-11-01-bert_sequence_classifier_erlangshen_roberta_330m_nli_zh * Add model 2023-11-01-bert_base_chinese_finetuning_financial_news_sentiment_v2_zh * Add model 2023-11-01-bleurt_tiny_512_en * Add model 2023-11-01-sands_en * Add model 2023-11-01-bert_sequence_classifier_response_quality_base_ru * Add model 2023-11-01-electra_classifier_mrm8488_electricidad_small_finetuned_amazon_review_classification_es * Add model 2023-11-01-cross_encoder_portuguese_sentence_similarity_en * Add model 2023-11-01-bert_base_uncased_sst2_yoshitomo_matsubara_en * Add model 2023-11-01-bert_sequence_classifier_large_cased_finetuned_mrpc_en * Add model 2023-11-01-unbias_classification_bert_en * Add model 2023-11-01-bert_sequence_classifier_autonlp_gibb_detect_515314387_en * Add model 2023-11-01-finance_sentiment_chinese_base_zh * Add model 2023-11-01-bert_base_uncased_yelp_polarity_textattack_en * Add model 2023-11-01-malay_marco_tinybert_l_4_en * Add model 2023-11-01-bert_base_cased_finetuned_finbert_en * Add model 2023-11-01-electra_classifier_qd_quora_base_turkish_tr * Add model 2023-11-01-kpf_cross_encoder_v1_ko * Add model 2023-11-01-bert_sequence_classifier_tiny_finetuned_fake_news_detection_en * Add model 2023-11-01-xuyuan_trial_sentiment_bert_chinese_en * Add model 2023-11-01-parrot_fluency_model_en * Add model 2023-11-01-ai_oriya_human_text_classification_en * Add model 2023-11-01-cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en * Add model 2023-11-01-bert_agnews_en * Add model 2023-11-01-bert_sequence_classifier_multi2convai_corona_english_bert_en * Add model 2023-11-01-paragraph_s36000_en * Add model 2023-11-01-finetuned_yelp_shelterrp_en * Add model 2023-11-01-bert_fine_tuned_hatexplain_en * Add model 2023-11-01-ernie_finetuned_qqp_en * Add model 2023-11-01-re2g_reranker_nq_en * Add model 2023-11-01-toutiao_zh * Add model 2023-11-01-bert_sequence_classifier_multi2convai_quality_french_mbert_fr * Add model 2023-11-01-bert_base_uncased_sts_b_en * Add model 2023-11-01-bert_base_cased_fever_en * Add model 2023-11-01-partypress_monolingual_denmark_da * Add model 2023-11-01-bert_base_uncased_cola_modeltc_en * Add model 2023-11-01-bert_large_uncased_qqp_en * Add model 2023-11-01-kcbert_base_finetuned_hate_ko * Add model 2023-11-01-question_vs_statement_classifier_en * Add model 2023-11-01-finetuned_bert_base_on_iemocap_1_en * Add model 2023-11-01-bert_tiny_sst2_en * Add model 2023-11-01-bert_sequence_classifier_mini_finetuned_age_news_classification_en * Add model 2023-11-01-bert_sequence_classifier_tiny_finetuned_yahoo_answers_topics_en * Add model 2023-11-01-tool_choose_ko * Add model 2023-11-01-sentiment_xdistil_uncased_en * Add model 2023-11-01-rubert_base_cased_cedr_russian_emotion_ru * Add model 2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en * Add model 2023-11-01-bert_base_multilingual_cased_language_detection_xx * Add model 2023-11-01-rubert_tiny_replicas_classifier_ru * Add model 2023-11-01-bert_emotion_analysis_en * Add model 2023-11-01-autotrain_text_sentiment_indonlu_smse_2885384370_id * Add model 2023-11-01-bert_sequence_classifier_tweet_eval_emotion_en * Add model 2023-11-01-indonesia_bert_sentiment_classification_en * Add model 2023-11-01-indic_abusive_allinone_muril_xx * Add model 2023-11-01-swedish_sentiment_violence_sv * Add model 2023-11-01-sdg_classification_bert_en * Add model 2023-11-01-miread_neuro_large_en * Add model 2023-11-01-rubert_base_qa_ranker_ru * Add model 2023-11-01-bert_large_legal_sentence_classification_en * Add model 2023-11-01-danish_binary_emotion_classification_base_da * Add model 2023-11-01-bert_base_uncased_mrpc_yoshitomo_matsubara_en * Add model 2023-11-01-bert_base_uncased_sst2_howey_en * Add model 2023-11-01-cross_encoder_bert_base_zh * Add model 2023-11-01-electra_classifier_korean_base_finetuned_sentiment_ko * Add model 2023-11-01-bert_base_portuguese_cased_assin2_similarity_pt * Add model 2023-11-01-bert_base_uncased_finetuned_emotion_vasanth_en * Add model 2023-11-01-hate_speech_berturk_en * Add model 2023-11-01-electra_classifier_korean_base_gender_bias_ko * Add model 2023-11-01-kcbert_formal_classifier_ko * Add model 2023-11-01-synteract_en * Add model 2023-11-01-electra_classifier_korean_base_bias_ko * Add model 2023-11-01-english_abusive_muril_en * Add model 2023-11-01-electra_classifier_korean_small_finetuned_intent_cls_ko * Add model 2023-11-01-bert_base_multilingual_codemixed_cased_sentiment_xx * Add model 2023-11-01-sentence_level_certainty_en * Add model 2023-11-01-modelloscenari_en * Add model 2023-11-01-bio_clinicalbert_zero_shot_sentiment_model_en * Add model 2023-11-01-electra_classifier_mindlogic_korean_ai_citizen_base_ko * Add model 2023-11-01-roberta_based_uncased_finetuned_financial_headline_en * Add model 2023-11-01-bert_xnli_spanish_classifier_en * Add model 2023-11-01-bert_sequence_classifier_russian_base_cased_nli_twoway_ru * Add model 2023-11-01-trainer_projet7_en * Add model 2023-11-01-bert_base_multilingual_uncased_sentiment_3labels_xx * Add model 2023-11-01-albert_sentiment_tw * Add model 2023-11-01-electra_classifier_beep_kc_base_bias_ko * Add model 2023-11-01-bert_italian_uncased_iptc_headlines_it * Add model 2023-11-01-text_classification_hyosyung_highschool_en * Add model 2023-11-01-biolinkbert_large_mnli_snli_en * Add model 2023-11-01-tda_bert_english_cola_en * Add model 2023-11-01-udot_mk2_en * Add model 2023-11-01-gk_hinglish_sentiment_en * Add model 2023-11-01-bert_base_uncased_rte_howey_en * Add model 2023-11-01-sdg_classifier_osdg_en * Add model 2023-11-01-bert_base_uncased_imdb_textattack_en * Add model 2023-11-01-hate_speech_italian_it * Add model 2023-11-01-bio_clinicalbert_finetuned_medicalcondition_en * Add model 2023-11-01-bert_tiny_emotion_intent_en * Add model 2023-11-01-frugalscore_tiny_bert_base_bert_score_en * Add model 2023-11-01-awesome_japanese_nlp_classification_model_en * Add model 2023-11-01-ais_ru * Add model 2023-11-01-bert_sequence_classifier_multi2convai_logistics_english_bert_en * Add model 2023-11-01-rubert_tiny2_russian_sentiment_ru * Add model 2023-11-01-unbias_classification_bert_old_en * Add model 2023-11-01-deepfeatecosystemcrossencoder_en * Add model 2023-11-01-bertimbau_base_finetuned_lener_breton_finetuned_brazilian_court_decisions_pt * Add model 2023-11-01-danish_hatespeech_classification_base_da * Add model 2023-11-01-finetuned_yelp_oatnapat_en * Add model 2023-11-01-bert_base_uncased_amazon_massive_intent_en * Add model 2023-11-01-imdb_finetuned_bert_base_uncased_en * Add model 2023-11-01-bert_base_uncased_mrpc_textattack_en * Add model 2023-11-01-bert_sst2_en * Add model 2023-11-01-bert_classifier_topic_v5_en * Add model 2023-11-01-sscibert_politics_en * Add model 2023-11-01-aimesoft_test_text_classification_4_en * Add model 2023-11-01-minilm_finetuned_chi_dedupe_en * Add model 2023-11-01-sentiment_model_sample_27go_emotion_en * Add model 2023-11-01-finetuning_multilingual_bert_thumbs_xx * Add model 2023-11-01-bert_large_portuguese_cased_assin2_similarity_pt * Add model 2023-11-01-cross_encoder_italian_bert_stsb_it * Add model 2023-11-01-yt_negativity_en * Add model 2023-11-01-rubert_tiny_stance_calssification_en * Add model 2023-11-01-finetunebertclsfaq_en * Add model 2023-11-01-electra_classifier_large_discriminator_nli_efl_hateval_en * Add model 2023-11-01-rubert_base_intent_detection_ru * Add model 2023-11-01-bert_tiny_mnli_en * Add model 2023-11-01-bert_large_uncased_mnli_yoshitomo_matsubara_en * Add model 2023-11-01-tijdelijk_en * Add model 2023-11-01-product_name_classifier_en * Add model 2023-11-01-finbert_esg_9_categories_en * Add model 2023-11-01-trac2020_all_c_bert_base_multilingual_uncased_xx * Add model 2023-11-01-nepalisentimentanalysis_ne * Add model 2023-11-01-malay_marco_tinybert_l_6_en * Add model 2023-11-01-bleurt_base_512_en * Add model 2023-11-01-grammer_classiffication_en * Add model 2023-11-01-thucnews_en * Add model 2023-11-01-bert_portuguese_emotion_en * Add model 2023-11-01-sa_bertchatgptapp_en * Add model 2023-11-01-finetuned_bertu_sentiment_en * Add model 2023-11-01-bert_resume_job_recommender_en * Add model 2023-11-01-bert_election2020_twitter_stance_trump_ke_mlm_en * Add model 2023-11-01-minilm_finetuned_chi_dedupe_southern_sotho_en * Add model 2023-11-01-rubert_tiny2_cognitive_bias_en * Add model 2023-11-01-nlp_qual_q2i_en * Add model 2023-11-01-bert_large_uncased_qnli_en * Add model 2023-11-01-bert_base_uncased_mnli_modeltc_en * Add model 2023-11-01-danish_subjectivivity_classification_base_da * Add model 2023-11-01-stsb_tinybert_l_4_en * Add model 2023-11-01-finbertptbr_pt * Add model 2023-11-01-thestats2_en * Add model 2023-11-01-rubert_russian_sentiment_rusentiment_ru * Add model 2023-11-01-cryptobert_en * Add model 2023-11-01-rubert_tiny_comp_question_classification_en * Add model 2023-11-01-bert_tiny_finetuned_enron_spam_detection_mrm8488_en * Add model 2023-11-01-insurance_multiple_label_my83_v2_en * Add model 2023-11-01-sentence_aldi_en * Add model 2023-11-01-sbert_russian_sentiment_rusentiment_ru * Add model 2023-11-01-bert_base_codemixed_uncased_sentiment_hi * Add model 2023-11-01-stance_detection_en * Add model 2023-11-01-tydiqa_boolean_question_classifier_en * Add model 2023-11-01-bert_base_personality_en * Add model 2023-11-01-beto_contextualized_hate_speech_es * Add model 2023-11-01-bert_sequence_classifier_autonlp_triage_35248482_en * Add model 2023-11-01-malay_marco_tinybert_l_2_en * Add model 2023-11-01-distilbert_base_task_multi_label_classification_en * Add model 2023-11-01-one_for_all_toxicity_v3_xx * Add model 2023-11-01-fine_tune_chinese_sentiment_en * Add model 2023-11-01-spam_usernames_classifier_xx * Add model 2023-11-01-agribert_clfmodel_en * Add model 2023-11-01-english_sarcasm_detector_en * Add model 2023-11-01-bert_base_uncased_mnli_ishan_en * Add model 2023-11-01-bert_sequence_classifier_erlangshen_roberta_110m_similarity_zh * Add model 2023-11-01-chatgpt_qa_detector_roberta_chinese_zh * Add model 2023-11-01-bert_base_uncased_finetuned_sentiments_en * Add model 2023-11-01-bert_base_intent_en * Add model 2023-11-01-bioformer_8l_qnli_en * Add model 2023-11-01-bert_seq_training_model_en * Add model 2023-11-01-bert_base_uncased_qnli_en * Add model 2023-11-01-nlp_qual_qual_en * Add model 2023-11-01-racebert_ethnicity_en * Add model 2023-11-01-news_genre_classifier_xx * Add model 2023-11-01-electra_classifier_korean_small_finetuned_nsmc_ko * Add model 2023-11-01-roberta_tiny_imdb_en * Add model 2023-11-01-sentiment_analysis_pretrained_en * Add model 2023-11-01-nlp_classifier_news_turkish_tr * Add model 2023-11-01-bert_base_uncased_mnli_en * Add model 2023-11-01-biobertrelationgenesdiseases_en * Add model 2023-11-01-frenchmedmcqa_biobert_v1_1_wikipedia_bm25_fr * Add model 2023-11-01-bert_base_polish_cyberbullying_pl * Add model 2023-11-01-lawinorders_en * Add model 2023-11-01-bert_emails_en * Add model 2023-11-01-bert_base_uncased_cola_en * Add model 2023-11-01-bert_base_claimbuster_en * Add model 2023-11-01-bert_sequence_classifier_large_cased_finetuned_wnli_en * Add model 2023-11-01-danish_discourse_coherence_base_da * Add model 2023-11-01-maverick_moneyball_en * Add model 2023-11-01-biobert_icd10_l3_mimic_en * Add model 2023-11-01-test_trainer_louislian2341_en * Add model 2023-11-01-bert_base_uncased_stsb_yoshitomo_matsubara_en * Add model 2023-11-01-news_category_classifier_distilbert_en * Add model 2023-11-01-finbert_tone_finetuned_fintwitter_classification_en * Add model 2023-11-01-urdu_abusive_muril_ur * Add model 2023-11-01-feather_berts_0_connectivity_en * Add model 2023-11-01-base_model_stevendee5_en * Add model 2023-11-01-tiny_bert_jdc_en * Add model 2023-11-01-hindi_abusive_muril_hi * Add model 2023-11-01-minilm_finetuned_emotion_celorenzo2104_en * Add model 2023-11-01-pold_en * Add model 2023-11-01-pari_conditions_fine_tuned_en * Add model 2023-11-01-final_project_finetuned_bert_base_multilingual_cased_english_xx * Add model 2023-11-01-swedish_sentiment_fear_sv * Add model 2023-11-01-pari_features_fine_tuned_en * Add model 2023-11-01-unicausal_seq_baseline_en * Add model 2023-11-01-bert_base_uncased_snli_textattack_en * Add model 2023-11-01-bert_embedding_en * Add model 2023-11-01-clf_bert_e_en * Add model 2023-11-01-tda_itabert_ita_cola_it * Add model 2023-11-01-rubert_tiny_questions_classifier_ru * Add model 2023-11-01-chinese_macbert_base_text_classification_en * Add model 2023-11-01-toxic_bert_german_de * Add model 2023-11-01-abusive_tagalog_profanity_detection_en * Add model 2023-11-01-bert_base_uncased_mrpc_modeltc_en * Add model 2023-11-01-bert_base_sentiment_analysis_french_en * Add model 2023-11-01-bert_base_multilingual_uncased_sentiment_b1tk40s_xx * Add model 2023-11-01-bleurt_large_128_en * Add model 2023-11-01-chemical_bert_uncased_pharmaceutical_chemical_classifier_en * Add model 2023-11-01-sell_buy_intent_classifier_bert_mini_en * Add model 2023-11-01-bert_jigsaw_identityhate_en * Add model 2023-11-01-bert_base_turkish_job_advertisement_tr * Add model 2023-11-01-finance_sentiment_german_base_de * Add model 2023-11-01-pubmedbert_mnli_mednli_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
JohnSnowLabs · Nov 1, 2023 · b5f5d92 · b5f5d92
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diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_best_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_best_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_best BertForSequenceClassification from edwardgowsmith
+author: John Snow Labs
+name: bert_base_cased_best
+date: 2023-10-27
+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.`bert_base_cased_best` is a English model originally trained by edwardgowsmith.
+
+{:.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/bert_base_cased_best_en_5.1.4_3.4_1698397074640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_best_en_5.1.4_3.4_1698397074640.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("bert_base_cased_best","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("bert_base_cased_best","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_best|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/edwardgowsmith/bert-base-cased-best
diff --git a/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en.md b/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3
+date: 2023-10-27
+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.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3` is a English model originally trained by hw2942.
+
+{:.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/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en_5.1.4_3.4_1698395887581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en_5.1.4_3.4_1698395887581.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("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v3
diff --git a/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en.md b/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4
+date: 2023-10-27
+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.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4` is a English model originally trained by hw2942.
+
+{:.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/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en_5.1.4_3.4_1698396592548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en_5.1.4_3.4_1698396592548.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("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v4
diff --git a/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en.md b/...27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5
+date: 2023-10-27
+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.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5` is a English model originally trained by hw2942.
+
+{:.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/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en_5.1.4_3.4_1698397380576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en_5.1.4_3.4_1698397380576.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("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5","en")\
+            .setInputCols(["document","token"])\
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])
+
+data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+
+```
+```scala
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text")
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document") 
+    .setOutputCol("token")  
+
+val sequenceClassifier = BertForSequenceClassification.pretrained("bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5","en")
+            .setInputCols(Array("document","token"))
+            .setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
+
+val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v5