2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping…

…_synonym_4_en (#13992) * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_embedding_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_embedding_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_eda_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_eda_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_eda_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_add_v2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_random_0_en * Add model 2023-09-18-albert_base_v1_mnli_en * Add model 2023-09-18-albert_dnd_intents_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_synonym_0_en * Add model 2023-09-18-albert_large_v2_cola_en * Add model 2023-09-18-albert_base_vitaminc_flagging_en * Add model 2023-09-18-sst2_eda_albert_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_add_v3_greedy_en * Add model 2023-09-18-albert_base_vitaminc_mnli_en * Add model 2023-09-18-albert_large_v2_rte_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_add_v3_greedy_en * Add model 2023-09-18-trecdl22_crossencoder_albert_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_embedding_4_en * Add model 2023-09-18-albert_xlarge_vitaminc_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_synonym_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_synonym_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_random_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_random_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_embedding_0_en * Add model 2023-09-18-albert_base_v2_hoax_classifier_v1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_vanilla_en * Add model 2023-09-18-albert_base_v2_mbti_classification_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_embedding_1_en * Add model 2023-09-18-albert_xxlarge_v2_hoax_classifier_v1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_synonym_2_en * Add model 2023-09-18-albert_large_v2_sst2_en * Add model 2023-09-18-albert_xxlarge_v2_snli_mnli_fever_anli_r1_r2_r3_nli_en * Add model 2023-09-18-autotrain_security_text_classification_albert_688320769_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_embedding_4_en * Add model 2023-09-18-albert_base_fever_claim_related_en * Add model 2023-09-18-albert_xxlarge_v2_hoax_classifier_def_v1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_random_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_synonym_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_random_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_random_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_synonym_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_eda_0_en * Add model 2023-09-18-yhi_message_type_paraphrase_albert_small_v2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_random_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_random_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_random_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_random_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_synonym_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_random_1_en * Add model 2023-09-18-nosql_identifier_albert_en * Add model 2023-09-18-albert_base_v2_hoax_classifier_fulltext_v1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_random_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_synonym_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_synonym_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_synonym_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_synonym_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_add_v5_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_eda_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_add_v3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_synonym_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_random_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_add_v5_en * Add model 2023-09-18-albert_base_v2_sts_b_en * Add model 2023-09-18-albert_base_v2_rotten_tomatoes_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_random_3_en * Add model 2023-09-18-albert_base_v2_yelp_polarity_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_embedding_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_add_v2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_random_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_add_v3_greedy_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_synonym_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_embedding_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_random_3_en * Add model 2023-09-18-albert_base_v2_toxicity_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_random_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_embedding_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_back_translation_en * Add model 2023-09-18-albert_base_v2_snli_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_eda_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_random_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_add_v3_en * Add model 2023-09-18-albert_large_v2_cls_sst2_en * Add model 2023-09-18-mnli_albert_base_v2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_add_v5_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_add_v3_greedy_en * Add model 2023-09-18-albert_base_mnli_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_synonym_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_eda_1_en * Add model 2023-09-18-albert_base_v2_finetuned_filtered_0609_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_add_v2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_synonym_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_random_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_synonym_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_synonym_1_en * Add model 2023-09-18-albert_offensive_lm_tapt_finetuned_en * Add model 2023-09-18-albert_small_kor_cross_encoder_v1_ko * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_random_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_eda_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_eda_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_eda_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_embedding_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_eda_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_synonym_1_en * Add model 2023-09-18-albert_goodnotes_reddit_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_embedding_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_back_translation_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_embedding_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_synonym_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_embedding_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_add_v4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_back_translation_en * Add model 2023-09-18-albert_base_vitaminc_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_random_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_eda_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_add_v3_greedy_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_add_v4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_random_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_add_v4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_embedding_0_en * Add model 2023-09-18-albert_base_v2_mnli_tehrannlp_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_random_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_synonym_2_en * Add model 2023-09-18-albert_base_v2_imdb_textattack_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_synonym_3_en * Add model 2023-09-18-albert_base_v2_wnli_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_eda_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_eda_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_eda_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_random_2_en * Add model 2023-09-18-albert_large_v2_hoax_classifier_def_v1_en * Add model 2023-09-18-albert_large_v2_qqp_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_synonym_1_en * Add model 2023-09-18-albert_tiny_spanish_fakenews_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_add_v5_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_embedding_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_eda_3_en * Add model 2023-09-18-albert_base_v2_sst_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_synonym_3_en * Add model 2023-09-18-albert_for_math_arabic_base_ft_en * Add model 2023-09-18-albert_base_v2_mnli_prajjwal1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_add_v3_greedy_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_add_v3_greedy_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_add_v3_greedy_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_vanilla_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_embedding_1_en * Add model 2023-09-18-albert_model_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_word_swapping_synonym_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_synonym_4_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_back_translation_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_eda_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_eda_3_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_word_swapping_embedding_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_back_translation_en * Add model 2023-09-18-albert_base_v2_tweet_about_disaster_or_not_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_synonym_0_en * Add model 2023-09-18-albert_base_quora_classifier_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_emotion_back_translation_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_word_swapping_random_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_synonym_2_en * Add model 2023-09-18-albert_base_vitaminc_wnei_fever_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_add_v4_en * Add model 2023-09-18-albert_base_v2_qqp_en * Add model 2023-09-18-albert_xlarge_vitaminc_fever_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_hate_word_swapping_embedding_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_random_4_en * Add model 2023-09-18-albert_base_v2_hoax_classifier_def_v1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_synonym_0_en * Add model 2023-09-18-albert_large_v2_mnli_en * Add model 2023-09-18-albert_base_v2_finetuned_mrpc_en * Add model 2023-09-18-albert_large_v2_stsb_en * Add model 2023-09-18-m3_experiment_albert_base_v2_rct_sample_word_swapping_embedding_2_en * Add model 2023-09-18-albert_large_v2_mrpc_en * Add model 2023-09-18-m3_experiment_albert_base_v2_citation_intent_eda_2_en * Add model 2023-09-18-albert_large_v2_qnli_en * Add model 2023-09-18-m3_experiment_albert_base_v2_amcd_add_v5_en * Add model 2023-09-18-albert_base_v2_ag_news_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_add_v2_en * Add model 2023-09-18-albert_base_vitaminc_fever_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_word_swapping_embedding_1_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_embedding_0_en * Add model 2023-09-18-m3_experiment_albert_base_v2_tweet_eval_irony_word_swapping_embedding_3_en * Add model 2023-09-18-albert_xlarge_vitaminc_mnli_en * Add model 2023-09-18-albert_xlarge_arabic_finetuned_emotion_aetd_en * Add model 2023-09-18-m3_experiment_albert_base_v2_chemprot_eda_2_en * Add model 2023-09-18-m3_experiment_albert_base_v2_sciie_word_swapping_synonym_4_en * Add model 2023-09-19-albert_persian_farsi_zwnj_base_v2_ner_fa * Add model 2023-09-19-albert_persian_farsi_zwnj_base_v2_ner_fa * Add model 2023-09-19-lodosalberttr_en * Add model 2023-09-19-albert_large_v2_ner_wnut_17_en * Add model 2023-09-19-albert_persian_farsi_base_v2_ner_arman_fa * Add model 2023-09-19-albert_large_v2_ner_conll2003_en * Add model 2023-09-19-albert_persian_farsi_base_v2_ner_peyma_fa * Add model 2023-09-19-albert_base_v2_en * Add model 2023-09-19-albert_large_v2_ner_wikiann_en * Add model 2023-09-19-tiny_albert_en * Add model 2023-09-19-albert_for_question_answering_en * Add model 2023-09-19-albert_xlarge_squad_finetuned_en * Add model 2023-09-19-albert_xxlarge_squad_finetuned_en * Add model 2023-09-19-albert_qa_squad_slp_en * Add model 2023-09-19-albert_base_finetuned_recipeqa_modified_en * Add model 2023-09-19-albert_qa_slp_en * Add model 2023-09-19-albert_v2_base_finetuned_recipeqa_modified_en * Add model 2023-09-19-albert_base_v2_finetuned_squad_attempt_1_en * Add model 2023-09-19-m_albert_qa_model_en * Add model 2023-09-19-albert_large_v2_spoken_squad_en * Add model 2023-09-19-albert_qa_xxlargev1_squad2_512_en * Add model 2023-09-19-albert_qa_xxlarge_v2_squad2_covid_deepset_en * Add model 2023-09-19-albert_qa_xlarge_finetuned_en * Add model 2023-09-19-albert_qa_cs224n_squad2.0_base_v2_en * Add model 2023-09-19-albert_xl_v2_finetuned_squad_en * Add model 2023-09-19-albert_qa_cs224n_squad2.0_large_v2_en * Add model 2023-09-19-albert_xxl_v2_finetuned_squad_en * Add model 2023-09-19-albert_qa_cs224n_squad2.0_xxlarge_v1_en * Add model 2023-09-19-albert_persian_farsi_base_v2_finetuned_squad_en * Add model 2023-09-19-albert_persian_farsi_base_v2_pquad_en * Add model 2023-09-19-albert_qa_xlarge_v2_squad_v2_en * Add model 2023-09-19-albert_persian_farsi_base_v2_persian_qa_en * Add model 2023-09-19-albert_qa_base_v2_squad_en * Add model 2023-09-19-albert_persian_farsi_base_v2_parsquad_en * Add model 2023-09-19-albert_persian_farsi_base_v2_pquad_and_persian_qa_en * Add model 2023-09-19-albert_qa_xxlarge_v2_squad2_en * Add model 2023-09-19-albert_qa_nlpunibo_en * Add model 2023-09-19-albert_qa_xxlarge_v1_finetuned_squad2_en * Add model 2023-09-19-albert_qa_xxlarge_tweetqa_en * Add model 2023-09-19-albert_base_qa_squad2_en * Add model 2023-09-20-albert_qa_biom_xxlarge_squad2_en * Add model 2023-09-20-albert_qa_ai_club_inductions_21_nlp_en * Add model 2023-09-20-albert_qa_qa_1e_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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diff --git a/docs/_posts/ahmedlone127/2023-09-18-albert_base_climate_claim_related_en.md b/docs/_posts/ahmedlone127/2023-09-18-albert_base_climate_claim_related_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English albert_base_climate_claim_related AlbertForSequenceClassification from mwong
+author: John Snow Labs
+name: albert_base_climate_claim_related
+date: 2023-09-18
+tags: [albert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_climate_claim_related` is a English model originally trained by mwong.
+
+{:.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/albert_base_climate_claim_related_en_5.1.2_3.0_1695061577335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_climate_claim_related_en_5.1.2_3.0_1695061577335.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("documents")
+
+
+sequenceClassifier = AlbertForSequenceClassification.pretrained("albert_base_climate_claim_related","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, sequenceClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val sequenceClassifier = AlbertForSequenceClassification  
+    .pretrained("albert_base_climate_claim_related", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("class") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, sequenceClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_climate_claim_related|
+|Compatibility:|Spark NLP 5.1.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/mwong/albert-base-climate-claim-related
diff --git a/docs/_posts/ahmedlone127/2023-09-18-albert_base_fever_claim_related_en.md b/docs/_posts/ahmedlone127/2023-09-18-albert_base_fever_claim_related_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English albert_base_fever_claim_related AlbertForSequenceClassification from mwong
+author: John Snow Labs
+name: albert_base_fever_claim_related
+date: 2023-09-18
+tags: [albert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_fever_claim_related` is a English model originally trained by mwong.
+
+{:.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/albert_base_fever_claim_related_en_5.1.2_3.0_1695068402270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_fever_claim_related_en_5.1.2_3.0_1695068402270.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("documents")
+
+
+sequenceClassifier = AlbertForSequenceClassification.pretrained("albert_base_fever_claim_related","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, sequenceClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val sequenceClassifier = AlbertForSequenceClassification  
+    .pretrained("albert_base_fever_claim_related", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("class") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, sequenceClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_fever_claim_related|
+|Compatibility:|Spark NLP 5.1.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/mwong/albert-base-fever-claim-related
diff --git a/docs/_posts/ahmedlone127/2023-09-18-albert_base_mnli_en.md b/docs/_posts/ahmedlone127/2023-09-18-albert_base_mnli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English albert_base_mnli AlbertForSequenceClassification from tals
+author: John Snow Labs
+name: albert_base_mnli
+date: 2023-09-18
+tags: [albert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_mnli` is a English model originally trained by tals.
+
+{:.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/albert_base_mnli_en_5.1.2_3.0_1695066395250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_mnli_en_5.1.2_3.0_1695066395250.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("documents")
+
+
+sequenceClassifier = AlbertForSequenceClassification.pretrained("albert_base_mnli","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, sequenceClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val sequenceClassifier = AlbertForSequenceClassification  
+    .pretrained("albert_base_mnli", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("class") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, sequenceClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_mnli|
+|Compatibility:|Spark NLP 5.1.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/tals/albert-base-mnli
diff --git a/docs/_posts/ahmedlone127/2023-09-18-albert_base_quora_classifier_en.md b/docs/_posts/ahmedlone127/2023-09-18-albert_base_quora_classifier_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English albert_base_quora_classifier AlbertForSequenceClassification from pertschuk
+author: John Snow Labs
+name: albert_base_quora_classifier
+date: 2023-09-18
+tags: [albert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_quora_classifier` is a English model originally trained by pertschuk.
+
+{:.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/albert_base_quora_classifier_en_5.1.2_3.0_1695065865157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_quora_classifier_en_5.1.2_3.0_1695065865157.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("documents")
+
+
+sequenceClassifier = AlbertForSequenceClassification.pretrained("albert_base_quora_classifier","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("class")
+
+pipeline = Pipeline().setStages([document_assembler, sequenceClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val sequenceClassifier = AlbertForSequenceClassification  
+    .pretrained("albert_base_quora_classifier", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("class") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, sequenceClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_quora_classifier|
+|Compatibility:|Spark NLP 5.1.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/pertschuk/albert-base-quora-classifier