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Models hub (#14383)
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Co-authored-by: ahmedlone127 <[email protected]>

* 2024-08-27-t5_base_finetuned_cnn_dailymail_en (#14380)

* Add model 2024-08-28-scores_flan_t5_large_29_11_pipeline_en

* Add model 2024-08-28-rotten_tomatoes_t5_large_seed_2_en

* Add model 2024-08-28-ukrainian_t5_compressed_gec_en

* Add model 2024-08-28-ukrainian_t5_compressed_gec_pipeline_en

* Add model 2024-08-28-t5_small_glue_50k_en

* Add model 2024-08-28-t5_small_glue_50k_pipeline_en

* Add model 2024-08-28-corrector_en

* Add model 2024-08-28-corrector_pipeline_en

* Add model 2024-08-28-bikes_select_t5_base_7_en

* Add model 2024-08-28-bikes_select_t5_base_7_pipeline_en

* Add model 2024-08-28-mt5_small_poll_generation_en

* Add model 2024-08-28-mt5_small_poll_generation_pipeline_en

* Add model 2024-08-28-software_req_model_en

* Add model 2024-08-28-software_req_model_pipeline_en

* Add model 2024-08-28-mt5_small_squad_qa_trimmed_english_5000_en

* Add model 2024-08-28-mt5_small_squad_qa_trimmed_english_5000_pipeline_en

* Add model 2024-08-28-flan_t5_retacred_kongo_w_context_small_en

* Add model 2024-08-28-flan_t5_retacred_kongo_w_context_small_pipeline_en

* Add model 2024-08-28-mt5_base_trimmed_german_120000_en

* Add model 2024-08-28-mt5_small_finetuned_31jan_3_en

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_aspol_h2_en

* Add model 2024-08-28-bert_base_cased_qa_squad2_en

* Add model 2024-08-28-mt5_small_finetuned_31jan_3_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_aspol_h2_pipeline_en

* Add model 2024-08-28-mt5_base_trimmed_german_120000_pipeline_en

* Add model 2024-08-28-vietnamese_test3_en

* Add model 2024-08-28-vietnamese_test3_pipeline_en

* Add model 2024-08-28-all_mt5_base_15_wikisql_en

* Add model 2024-08-28-all_mt5_base_15_wikisql_pipeline_en

* Add model 2024-08-28-mt5_small_trimmed_english_5000_squad_qa_en

* Add model 2024-08-28-mt5_small_trimmed_english_5000_squad_qa_pipeline_en

* Add model 2024-08-28-flan_t5_large_analogy_t_rex_en

* Add model 2024-08-28-t5_60m_poli_aff_2015_4_en

* Add model 2024-08-28-t5_60m_poli_aff_2015_4_pipeline_en

* Add model 2024-08-28-flan_t5_large_analogy_t_rex_pipeline_en

* Add model 2024-08-28-flan_oig_cuad_base_en

* Add model 2024-08-28-flan_oig_cuad_base_pipeline_en

* Add model 2024-08-28-extract_long_text_unbalanced_smaller_6_weny22_en

* Add model 2024-08-28-extract_long_text_unbalanced_smaller_6_weny22_pipeline_en

* Add model 2024-08-28-kltn_coqe_vit5_paosl_en

* Add model 2024-08-28-kltn_coqe_vit5_paosl_pipeline_en

* Add model 2024-08-28-summarizer_billsum_dataset_en

* Add model 2024-08-28-t5_small_2944_en

* Add model 2024-08-28-burmese_awesome_opus_books_model_capemox_en

* Add model 2024-08-28-translation_french_en

* Add model 2024-08-28-t5_small_2944_pipeline_en

* Add model 2024-08-28-translation_french_pipeline_en

* Add model 2024-08-28-summarizer_billsum_dataset_pipeline_en

* Add model 2024-08-28-output_lizashr_en

* Add model 2024-08-28-output_lizashr_pipeline_en

* Add model 2024-08-28-burmese_awesome_opus_books_model_capemox_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting5_spoal_en

* Add model 2024-08-28-mt5_base_dequad_qg_trimmed_60000_en

* Add model 2024-08-28-mt5_base_dequad_qg_trimmed_60000_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting5_spoal_pipeline_en

* Add model 2024-08-28-t5_small_finetuned_xsum_maryantocinn_en

* Add model 2024-08-28-t5_small_finetuned_xsum_maryantocinn_pipeline_en

* Add model 2024-08-28-augmented_nodes_shuffled_graphs_with_edge_document_level_t5_run1_en

* Add model 2024-08-28-augmented_nodes_shuffled_graphs_with_edge_document_level_t5_run1_pipeline_en

* Add model 2024-08-28-t5_large_radiology_ai_cardiothoracic_0_9_en

* Add model 2024-08-28-mt5_0_1_solid_en

* Add model 2024-08-28-t5_large_radiology_ai_cardiothoracic_0_9_pipeline_en

* Add model 2024-08-28-mt5_base_trimmed_spanish_105000_en

* Add model 2024-08-28-mt5_0_1_solid_pipeline_en

* Add model 2024-08-28-mt5_base_trimmed_spanish_105000_pipeline_en

* Add model 2024-08-28-t5v1_small_finetune_imdb_main_model_en

* Add model 2024-08-28-t5v1_small_finetune_imdb_main_model_pipeline_en

* Add model 2024-08-28-t5_base_karlen532_en

* Add model 2024-08-28-xsum_t5_small_fine_tuning_500_10_50000_8_e_1_s6789_v4_l4_en

* Add model 2024-08-28-xsum_t5_small_fine_tuning_500_10_50000_8_e_1_s6789_v4_l4_pipeline_en

* Add model 2024-08-28-t5_base_karlen532_pipeline_en

* Add model 2024-08-28-mt5_epoch_1to6_en

* Add model 2024-08-28-informal_tonga_tonga_islands_formal_jaimin_en

* Add model 2024-08-28-informal_tonga_tonga_islands_formal_jaimin_pipeline_en

* Add model 2024-08-28-mt5_epoch_1to6_pipeline_en

* Add model 2024-08-28-t5_small_squadshifts_nepal_bhasa_wiki_qg_en

* Add model 2024-08-28-t5_small_squadshifts_nepal_bhasa_wiki_qg_pipeline_en

* Add model 2024-08-28-ke_t5_base_bongsoo_korean_english_epoch2_en

* Add model 2024-08-28-rut5_small_en

* Add model 2024-08-28-rut5_small_pipeline_en

* Add model 2024-08-28-ke_t5_base_bongsoo_korean_english_epoch2_pipeline_en

* Add model 2024-08-28-shuffled_nodes_shuffled_graphs_with_edge_document_level_t5_run2_en

* Add model 2024-08-28-shuffled_nodes_shuffled_graphs_with_edge_document_level_t5_run2_pipeline_en

* Add model 2024-08-28-flant5_tuned_3_pipeline_en

* Add model 2024-08-28-flant5_tuned_3_en

* Add model 2024-08-28-cs505_coqe_vit5_total_instruction4_psaol_v1_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_total_instruction4_psaol_v1_en

* Add model 2024-08-28-md_mt5_1911_v18_retrain_en

* Add model 2024-08-28-xsum_aligned_smallt5_cont2_en

* Add model 2024-08-28-xsum_aligned_smallt5_cont2_pipeline_en

* Add model 2024-08-28-mt5_small_finetuned_amazon_english_spanish_lenguist_en

* Add model 2024-08-28-md_mt5_1911_v18_retrain_pipeline_en

* Add model 2024-08-28-t5_60m_lm_wmt_2015_1_en

* Add model 2024-08-28-mt5_small_finetuned_amazon_english_spanish_lenguist_pipeline_en

* Add model 2024-08-28-t5_xsum_cppmai_en

* Add model 2024-08-28-t5_xsum_cppmai_pipeline_en

* Add model 2024-08-28-t5_60m_lm_wmt_2018_11_pipeline_en

* Add model 2024-08-28-t5_60m_lm_wmt_2018_11_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting5_apsol_gpt_paraphrase_en

* Add model 2024-08-28-t5_60m_lm_wmt_2015_1_pipeline_en

* Add model 2024-08-28-mt5_small_jaquad_qg_trimmed_japanese_90000_en

* Add model 2024-08-28-mt5_small_finetuned_amazon_english_spanish_szymon_en

* Add model 2024-08-28-mt5_small_finetuned_amazon_english_spanish_szymon_pipeline_en

* Add model 2024-08-28-mt5_small_jaquad_qg_trimmed_japanese_90000_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting5_apsol_gpt_paraphrase_pipeline_en

* Add model 2024-08-28-google_t5_by_timelist_en

* Add model 2024-08-28-google_t5_by_timelist_pipeline_en

* Add model 2024-08-28-t5_base_sft_cds_en

* Add model 2024-08-28-t5_base_sft_cds_pipeline_en

* Add model 2024-08-28-bangla_para_v3_420000_en

* Add model 2024-08-28-bangla_para_v3_420000_pipeline_en

* Add model 2024-08-28-flan_t5_large_danish_multiwoz2_1_400_en

* Add model 2024-08-28-flan_t5_large_danish_multiwoz2_1_400_pipeline_en

* Add model 2024-08-28-flan_t5_large_danish_multiwoz2_1_80_loss_ep50_en

* Add model 2024-08-28-flan_t5_large_danish_multiwoz2_1_80_loss_ep50_pipeline_en

* Add model 2024-08-28-burmese_vit5_en

* Add model 2024-08-28-burmese_vit5_pipeline_en

* Add model 2024-08-28-mt5_small_trimmed_japanese_jaquad_qg_ja

* Add model 2024-08-28-text2sqlbirdspider_en

* Add model 2024-08-28-mt5_small_trimmed_japanese_jaquad_qg_pipeline_ja

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_osapl_h1_en

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_osapl_h1_pipeline_en

* Add model 2024-08-28-results_ycfntu_en

* Add model 2024-08-28-results_ycfntu_pipeline_en

* Add model 2024-08-28-t5_small_finetuned_xsum_jakka_en

* Add model 2024-08-28-t5_base_finetuned_english_tonga_tonga_islands_italian_lrs_en

* Add model 2024-08-28-t5_small_finetuned_xsum_jakka_pipeline_en

* Add model 2024-08-28-t5_base_finetuned_english_tonga_tonga_islands_italian_lrs_pipeline_en

* Add model 2024-08-28-text_shortening_model_v4_pipeline_en

* Add model 2024-08-28-polish_transliterator_t5_en

* Add model 2024-08-28-mt5_small_finetuned_13feb_3_en

* Add model 2024-08-28-polish_transliterator_t5_pipeline_en

* Add model 2024-08-28-text_shortening_model_v4_en

* Add model 2024-08-28-mt5_small_finetuned_13feb_3_pipeline_en

* Add model 2024-08-28-mt5_small_koquad_qg_trimmed_korean_5000_en

* Add model 2024-08-28-mt5_small_koquad_qg_trimmed_korean_5000_pipeline_en

* Add model 2024-08-28-t5large_trec_coarse_bite_2_en

* Add model 2024-08-28-t5large_trec_coarse_bite_2_pipeline_en

* Add model 2024-08-28-burmese_awesome_billsum_model_rdpatilds_en

* Add model 2024-08-28-burmese_awesome_billsum_model_rdpatilds_pipeline_en

* Add model 2024-08-28-t5large_trec_coarse_syntactic_1_en

* Add model 2024-08-28-bikes_ops_t5_small_22_en

* Add model 2024-08-28-bikes_ops_t5_small_22_pipeline_en

* Add model 2024-08-28-t5large_trec_coarse_syntactic_1_pipeline_en

* Add model 2024-08-28-kltn_coqe_vit5_total_psoal_en

* Add model 2024-08-28-teabreac_t5_large_en

* Add model 2024-08-28-teabreac_t5_large_pipeline_en

* Add model 2024-08-28-kltn_coqe_vit5_total_psoal_pipeline_en

* Add model 2024-08-28-flan_t5_base_squda_v1_fine_tune_qs_en

* Add model 2024-08-28-flan_t5_many_tonga_tonga_islands_eng_en

* Add model 2024-08-28-flan_t5_many_tonga_tonga_islands_eng_pipeline_en

* Add model 2024-08-28-finetuned_t5_cheekychy_en

* Add model 2024-08-28-flan_t5_base_squda_v1_fine_tune_qs_pipeline_en

* Add model 2024-08-28-finetuned_t5_cheekychy_pipeline_en

* Add model 2024-08-28-english_german_64_25k_en

* Add model 2024-08-28-qg_v2_en

* Add model 2024-08-28-english_german_64_25k_pipeline_en

* Add model 2024-08-28-burmese_awesome_opus_books_model_ottovoncwim_en

* Add model 2024-08-28-burmese_awesome_opus_books_model_ottovoncwim_pipeline_en

* Add model 2024-08-28-grammar_model_en

* Add model 2024-08-28-grammar_model_pipeline_en

* Add model 2024-08-28-augmented_nodes_normal_graphs_with_edge_document_level_t5_run1_en

* Add model 2024-08-28-t5_med_nlp_aug_small_en

* Add model 2024-08-28-augmented_nodes_normal_graphs_with_edge_document_level_t5_run1_pipeline_en

* Add model 2024-08-28-t5_med_nlp_aug_small_pipeline_en

* Add model 2024-08-28-flan_t5_base_imdb_text_classification_liliwululu_pipeline_en

* Add model 2024-08-28-flan_t5_base_imdb_text_classification_liliwululu_en

* Add model 2024-08-28-rut5_base_finetuned_xsum_en

* Add model 2024-08-28-t5_small_finetuned_xsum_sunshineyellow_pipeline_en

* Add model 2024-08-28-t5_small_finetuned_xsum_sunshineyellow_en

* Add model 2024-08-28-rut5_base_finetuned_xsum_pipeline_en

* Add model 2024-08-28-flan_t5_large_extraction_all_dm_2000_ep2_nonstop_en

* Add model 2024-08-28-text_shortening_model_v62_en

* Add model 2024-08-28-teabreac_nt5_small_drop_en

* Add model 2024-08-28-mt5_small_finetuned_26jan_2_pipeline_en

* Add model 2024-08-28-text_shortening_model_v62_pipeline_en

* Add model 2024-08-28-flan_t5_large_extraction_all_dm_2000_ep2_nonstop_pipeline_en

* Add model 2024-08-28-mt5_small_finetuned_26jan_2_en

* Add model 2024-08-28-teabreac_nt5_small_drop_pipeline_en

* Add model 2024-08-28-experiments_tiagoblima_en

* Add model 2024-08-28-experiments_tiagoblima_pipeline_en

* Add model 2024-08-28-ttest_pipeline_en

* Add model 2024-08-28-ttest_en

* Add model 2024-08-28-ag_news_t5_large_seed_3_en

* Add model 2024-08-28-mt5_base_finetuned_xsum_data_prep_2021_12_26___t1_7_csv___topic_text_google_mt5_base_en

* Add model 2024-08-28-ag_news_t5_large_seed_3_pipeline_en

* Add model 2024-08-28-t5_base_few_shot_k_1024_finetuned_squad_seed_4_en

* Add model 2024-08-28-t5_base_few_shot_k_1024_finetuned_squad_seed_4_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_oapsl_v1_en

* Add model 2024-08-28-cs505_coqe_vit5_train_instruction0_oapsl_v1_pipeline_en

* Add model 2024-08-28-flan_t5_base_mrf01_en

* Add model 2024-08-28-flan_t5_base_mrf01_pipeline_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting0_aspol_vcheck1_en

* Add model 2024-08-28-t5_model_1_d_1_en

* Add model 2024-08-28-mt5_small_itquad_qa_trimmed_italian_15000_pipeline_en

* Add model 2024-08-28-mt5_small_itquad_qa_trimmed_italian_15000_en

* Add model 2024-08-28-oath_frames_flant5_base_en

* Add model 2024-08-28-xsum_t5_small_fine_tuning_500_4_50000_6_e_1_s6789_v4_l5_en

* Add model 2024-08-28-xsum_t5_small_fine_tuning_500_4_50000_6_e_1_s6789_v4_l5_pipeline_en

* Add model 2024-08-28-oath_frames_flant5_base_pipeline_en

* Add model 2024-08-28-mt5_xl_normail_pipeline_en

* Add model 2024-08-28-t5_model_1_d_1_pipeline_en

* Add model 2024-08-28-1ep_seq_25_6b_en

* Add model 2024-08-28-cs505_coqe_vit5_prompting0_aspol_vcheck1_pipeline_en

* Add model 2024-08-28-1ep_seq_25_6b_pipeline_en

* Add model 2024-08-28-mt5_xl_normail_en

* Add model 2024-08-28-t5_emea_20k_english_german_greenmamba_en

* Add model 2024-08-28-t5_emea_20k_english_german_greenmamba_pipeline_en

* Add model 2024-08-28-inversion_seq2seq_baseline_en

* Add model 2024-08-28-legal_t5_small_summ_multitask_spanish_en

* Add model 2024-08-28-inversion_seq2seq_baseline_pipeline_en

* Add model 2024-08-28-legal_t5_small_summ_multitask_spanish_pipeline_en

* Add model 2024-08-28-t5_base_cc_news_en

* Add model 2024-08-28-mt5_base_frquad_qg_trimmed_120000_en

* Add model 2024-08-28-counsel_chat_t5_en

* Add model 2024-08-28-t5_base_cc_news_pipeline_en

* Add model 2024-08-28-mt5_base_frquad_qg_trimmed_120000_pipeline_en

* Add model 2024-08-28-t5large_tweet_emotion_badnet_2_en

* Add model 2024-08-28-counsel_chat_t5_pipeline_en

* Add model 2024-08-28-t5large_tweet_emotion_badnet_2_pipeline_en

* Add model 2024-08-28-ag_news_t5_small_seed_3_en

* Add model 2024-08-28-t5large_sst2_bite_2_en

* Add model 2024-08-28-bikes_multi_t5_small_24_en

* Add model 2024-08-28-ag_news_t5_small_seed_3_pipeline_en

* Add model 2024-08-28-t5large_sst2_bite_2_pipeline_en

* Add model 2024-08-28-bikes_multi_t5_small_24_pipeline_en

* Add model 2024-08-28-mt5_small_bongsoo_english_korean_pipeline_en

* Add model 2024-08-28-mt5_small_bongsoo_english_korean_en

* Add model 2024-08-28-t5_base_portuguese_asqa_cb_en

* Add model 2024-08-28-t5_small_finetuned_cogs_en

* Add model 2024-08-28-t5large_hate_speech_flip_instruction_2_en

* Add model 2024-08-28-t5_small_finetuned_cogs_pipeline_en

* Add model 2024-08-28-t5_base_portuguese_asqa_cb_pipeline_en

* Add model 2024-08-28-t5large_hate_speech_flip_instruction_2_pipeline_en

* Add model 2024-08-28-t5_small_german_finetuned_english_tonga_tonga_islands_italian_pipeline_en

* Add model 2024-08-28-t5_small_german_finetuned_english_tonga_tonga_islands_italian_en

* Add model 2024-08-28-mt5_small_uyghur_10k_en

* Add model 2024-08-28-kltn_coqe_vit5_spoal_en

* Add model 2024-08-28-mt5_small_uyghur_10k_pipeline_en

* Add model 2024-08-28-kltn_coqe_vit5_spoal_pipeline_en

* Add model 2024-08-28-banglat5_headline_trial_with_spanish_batch8_1e_4_en

* Add model 2024-08-28-t5_base_finetuned_quoref_en

* Add model 2024-08-28-banglat5_headline_trial_with_spanish_batch8_1e_4_pipeline_en

* Add model 2024-08-28-t5_base_finetuned_quoref_pipeline_en

* Add model 2024-08-28-t5large_tweet_emotion_phd_instruction_2_en

* Add model 2024-08-28-t5large_tweet_emotion_phd_instruction_2_pipeline_en

* Add model 2024-08-28-lora_flan_t5_large_chat_gowrias12_en

* Add model 2024-08-28-lora_flan_t5_large_chat_gowrias12_pipeline_en

* Add model 2024-08-28-bert_classifier_bert_base_multilingual_uncased_sentiment_xx

* Add model 2024-08-29-bert_zero_shot_classifier_mnli_by_nbailab_en

---------

Co-authored-by: ahmedlone127 <[email protected]>

* 2024-08-30-camembert_base_qa_fquad_fr (#14386)

* Add model 2024-09-01-m0_flat_ner_ocr_ptrn_cmbert_io_pipeline_fr

* Add model 2024-09-01-nermembert_base_3entities_fr

* Add model 2024-09-01-clip_vit_l_14_datacomp_xl_s13b_b90k_laion_en

* Add model 2024-09-01-roberta_base_ag_news_dasoteloro_pipeline_en

* Add model 2024-09-01-mongolian_distilbert_base_multilingual_cased_ner_pipeline_xx

* Add model 2024-09-01-burmese_awesome_wnut_model_nastyakorneeva_en

* Add model 2024-09-01-ner_tune_v2_42_en

* Add model 2024-09-01-robbert_2022_dutch_base_nl

* Add model 2024-09-01-xlmroberta_ner_k3nneth_base_finetuned_panx_pipeline_de

* Add model 2024-09-01-xlmroberta_ner_coolzhao_base_finetuned_panx_pipeline_de

* Add model 2024-09-01-ukrainian_punctcase_uk

* Add model 2024-09-01-xlmroberta_ner_k3nneth_base_finetuned_panx_de

* Add model 2024-09-01-xlm_roberta_base_finetuned_panx_german_french_iis2009002_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_imyday_base_finetuned_panx_de

* Add model 2024-09-01-xlmroberta_ner_imyday_base_finetuned_panx_pipeline_de

* Add model 2024-09-01-serengeti_xx

* Add model 2024-09-01-fs_distilroberta_fine_tuned_pipeline_en

* Add model 2024-09-01-serengeti_pipeline_xx

* Add model 2024-09-01-robbert_2022_dutch_base_pipeline_nl

* Add model 2024-09-01-xlmroberta_ner_base_uncased_bc5cdr_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_base_uncased_bc5cdr_en

* Add model 2024-09-01-xlm_roberta_base_panx_dataset_english_pipeline_en

* Add model 2024-09-01-nermembert_base_3entities_pipeline_fr

* Add model 2024-09-01-xlmroberta_ner_base_uncased_panx_dataset_en

* Add model 2024-09-01-xlmroberta_ner_ericklerouge123_base_finetuned_panx_de

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* Add model 2024-09-01-burmese_awesome_wnut_model_nilesh05_en

* Add model 2024-09-01-xlmroberta_ner_zpablo_base_finetuned_panx_de

* Add model 2024-09-01-camembert_loc_pipeline_en

* Add model 2024-09-01-burmese_ner_model_amrita06_en

* Add model 2024-09-01-cpegen_vp_en

* Add model 2024-09-01-bert_general_disease_en

* Add model 2024-09-01-xlmroberta_ner_shopee_id

* Add model 2024-09-01-clip_zero_shot_image_classification_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_xlm_roberta_base_finetuned_swahili_finetuned_ner_igbo_pipeline_ig

* Add model 2024-09-01-distilbert_base_uncased_finetuned_ner_meneiaus_pipeline_en

* Add model 2024-09-01-xlm_roberta_base_panx_dataset_arabic_en

* Add model 2024-09-01-xlm_roberta_base_panx_dataset_arabic_pipeline_en

* Add model 2024-09-01-20230327_baseline_xlmr_clickbait_spoiling_en

* Add model 2024-09-01-laberta_la

* Add model 2024-09-01-xlmroberta_ner_tner_base_uncased_ontonotes5_en

* Add model 2024-09-01-ae_detection_tac_data_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_tner_base_uncased_ontonotes5_pipeline_en

* Add model 2024-09-01-code_segmentor_distilbert_en

* Add model 2024-09-01-xlmroberta_ner_haesun_base_finetuned_panx_all_pipeline_xx

* Add model 2024-09-01-legal_roberta_base_saibo_creator_pipeline_en

* Add model 2024-09-01-finetuned_distilbert_base_uncased_conll2003_test_after_optuna_hp_search_pipeline_en

* Add model 2024-09-01-burmese_awesome_wnut_model_agdsga_pipeline_en

* Add model 2024-09-01-finetuning_profane_model_deberta_en

* Add model 2024-09-01-xlmroberta_ner_base_uncased_panx_dataset_pipeline_en

* Add model 2024-09-01-finetuning_profane_model_deberta_pipeline_en

* Add model 2024-09-01-deberta_v3_base_nli_mixer_binary_pipeline_en

* Add model 2024-09-01-deberta_v3_large_finetuned_synthetic_multi_class_en

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* Add model 2024-09-01-deberta_v3_large_finetuned_synthetic_multi_class_pipeline_en

* Add model 2024-09-01-deberta_v3_base_finetuned_sst2_en

* Add model 2024-09-01-deberta_v3_small_goemotions_en

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* Add model 2024-09-01-clinicalbert_cancer_type_extraction_3_pipeline_en

* Add model 2024-09-01-deberta_v2_base_japanese_finetuned_wrime_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_coolzhao_base_finetuned_panx_de

* Add model 2024-09-01-microsoft_deberta_v3_large_cls_subj_gladiator_pipeline_en

* Add model 2024-09-01-deberta_v2_base_japanese_finetuned_wrime_en

* Add model 2024-09-01-deberta_v3_small_finetuned_cola_mrm8488_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_cole_base_finetuned_panx_pipeline_de

* Add model 2024-09-01-xlmroberta_ner_cole_base_finetuned_panx_de

* Add model 2024-09-01-mdebertav3_subjectivity_english_en

* Add model 2024-09-01-xlmroberta_ner_xlm_roberta_base_finetuned_yoruba_finetuned_ner_yoruba_pipeline_yo

* Add model 2024-09-01-xlm_roberta_base_language_detection_brenomatos_pipeline_en

* Add model 2024-09-01-mdebertav3_subjectivity_multilingual_pipeline_xx

* Add model 2024-09-01-distilbert_base_uncased_finetuned_ner_christiancad_en

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* Add model 2024-09-01-deberta_v3_base_10xp3nirstbbflanse_5xc4_pipeline_en

* Add model 2024-09-01-burmese_awesome_wnut_them_pipeline_en

* Add model 2024-09-01-command_ner_distilbert_en

* Add model 2024-09-01-camembert_loc_en

* Add model 2024-09-01-deberta_v3_amazon_reviews_en

* Add model 2024-09-01-mdeberta_vitaminc_mnli_anli_wanli_lingnli_en

* Add model 2024-09-01-mdeberta_v3_base_vsfc_100_pipeline_en

* Add model 2024-09-01-clip_seed_vit_11_pipeline_en

* Add model 2024-09-01-hasoc19_microsoft_mdeberta_v3_base_targinsult1_pipeline_en

* Add model 2024-09-01-distilbert_infoextract_v2_en

* Add model 2024-09-01-bert_cas_model_beta_en

* Add model 2024-09-01-deberta_v3_large__sst2__train_16_5_en

* Add model 2024-09-01-microsoft_deberta_v3_large_cls_subj_gladiator_en

* Add model 2024-09-01-deberta_v3_small_finetuned_cola_mrm8488_en

* Add model 2024-09-01-roberta_large_emolit_pipeline_en

* Add model 2024-09-01-xlmroberta_ner_zpablo_base_finetuned_panx_pipeline_de

* Add model 2024-09-01-xlmroberta_ner_xlm_roberta_base_finetuned_hausa_finetuned_ner_hausa_pipeline_ha

* Add model 2024-09-01-burmese_awesome_conll_model_kheyh_en

* Add model 2024-09-01-deberta_v3_base_cotat_pipeline_en

* Add model 2024-09-01-infoxlm_base_pipeline_en

* Add model 2024-09-01-deberta_v3_large_survey_nepal_bhasa_fact_related_passage_rater_all_pipeline_en

* Add model 2024-09-01-deberta_v3_large__sst2__train_32_0_pipeline_en

* Add model 2024-09-01-bert_base_cased_cefr_abdulsami_en

* Add model 2024-09-01-deberta_v3_large_survey_main_passage_consistency_rater_en

* Add model 2024-09-01-deberta_v3_large_survey_main_passage_consistency_rater_pipeline_en

* Add model 2024-09-01-umberto_wikipedia_uncased_v1_finetuned_squadv1_italian_it

* Add model 2024-09-01-burmese_awesome_wnut_model_joddiy_pipeline_en

* Add model 2024-09-01-xlm_roberta_base_finetuned_on_runaways_dutch_pipeline_en

* Add model 2024-09-01-distilbert_base_uncased_finetuned_ner_itspxsh_pipeline_en

* Add model 2024-09-01-indobert_lite_squadx_pipeline_id

* Add model 2024-09-01-deberta_v3_base_10xp3_10xc4_512_en

* Add model 2024-09-01-xlmroberta_ner_yaxin_base_conll2003_en

* Add model 2024-09-01-answer_finder_yuzu_ja

* Add model 2024-09-01-answer_finder_yuzu_pipeline_ja

* Add model 2024-09-01-mobilebert_uncased_finetuned_squadv2_pipeline_en

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* Add model 2024-09-01-bert_qa_youngjae_bert_finetuned_squad_en

* Add model 2024-09-01-mobilebert_uncased_squad_v2_csarron_pipeline_en

* Add model 2024-09-01-bert_qa_youngjae_bert_finetuned_squad_pipeline_en

* Add model 2024-09-01-twitter_xlm_roberta_base_pipeline_en

* Add model 2024-09-01-marathi_question_answering_squad_bert_pipeline_mr

* Add model 2024-09-01-rubert_large_squad_2_en

* Add model 2024-09-01-bert_large_uncased_whole_word_masking_finetuned_squad_google_bert_en

* Add model 2024-09-01-deberta_v3_large_survey_nepal_bhasa_fact_related_passage_rater_all_en

* Add model 2024-09-01-mdeberta_base_formality_ranker_en

* Add model 2024-09-01-distilbert_finetuned_ner_for_articles_pipeline_en

* Add model 2024-09-01-electra_qa_DSPFirst_Finetuning_5_pipeline_en

* Add model 2024-09-01-bert_large_uncased_whole_word_masking_finetuned_squad_google_bert_pipeline_en

* Add model 2024-09-01-clinicalbert_craft_ner_pipeline_en

* Add model 2024-09-01-ner_on_proteindata_pipeline_en

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* Add model 2024-09-01-model_2_en

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* Add model 2024-09-01-greeklegalroberta_v3_el

* Add model 2024-09-01-roberta_urdu_small_ur

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* Add model 2024-09-01-deberta_v3_large_survey_cross_passage_consistency_rater_gpt4_en

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* Add model 2024-09-01-hero_he

* Add model 2024-09-01-hero_pipeline_he

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* Add model 2024-09-01-bpe_selfies_pubchem_shard00_160k_en

* Add model 2024-09-01-electra_qa_DSPFirst_Finetuning_5_en

* Add model 2024-09-01-twitter_roberta_base_2021_124m_en

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* Add model 2024-09-01-bilingualchildemo_pipeline_en

* Add model 2024-09-01-marathisentiment_mr

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* Add model 2024-09-01-ogbv_gender_indicbert_tamil_eacl_finals_en

* Add model 2024-09-01-ogbv_gender_indicbert_tamil_eacl_finals_pipeline_en

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* Add model 2024-09-01-roberta_nsfw_text_classifier_pipeline_en

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* Add model 2024-09-01-mminilmv2_l6_h384_distilled_from_xlmr_large_enod_pipeline_en

* Add model 2024-09-01-distilbert_base_multilingual_cased_ner_demo_pipeline_xx

* Add model 2024-09-01-distilbert_base_multilingual_cased_ner_demo_xx

* Add model 2024-09-01-edos_2023_baseline_xlm_roberta_base_label_vector_pipeline_en

* Add model 2024-09-01-burmese_awesome_wnut_model_kolegas_en

* Add model 2024-09-01-burmese_awesome_wnut_them_all_en

* Add model 2024-09-01-pretrained_xlm_portuguese_e8_all_pipeline_en

* Add model 2024-09-01-bce_reranker_base_v1_infiniflow_en

* Add model 2024-09-01-xlmroberta_ner_jgriffi_base_finetuned_panx_en

* Add model 2024-09-01-burmese_qa_model_en

* Add model 2024-09-01-bce_reranker_base_v1_infiniflow_pipeline_en

* Add model 2024-09-01-malayalambert_pipeline_en

* Add model 2024-09-01-distilbert_base_uncased_finetuned_ner_kamaljp_pipeline_en

* Add model 2024-09-01-emubert_pipeline_en

* Add model 2024-09-01-albert_base_qa_3_en

* Add model 2024-09-01-albert_finetuned_chennaiqa_final_en

* Add model 2024-09-01-albert_finetuned_chennaiqa_final_pipeline_en

* Add model 2024-09-01-socialbert_base_pipeline_en

* Add model 2024-09-01-m2_joint_label_ocr_cmbert_io_pipeline_fr

* Add model 2024-09-01-crossencoder_me5_base_mmarcofr_fr

* Add model 2024-09-01-question_answering_albert_base_en

* Add model 2024-09-01-albert_base_finetuned_recipe_modified_pipeline_en

* Add model 2024-09-01-burmese_awesome_wnut_all_jaoo_en

* Add model 2024-09-01-distilbert_base_uncased_finetuned_srl_abritez_en

* Add model 2024-09-01-scamllm_en

---------

Co-authored-by: ahmedlone127 <[email protected]>

* 2024-09-01-trained_polish_en (#14387)

* Add model 2024-09-03-sentiment_analysis_app_review_en

* Add model 2024-09-03-triplets_e5_base_500_484c6c_pipeline_en

* Add model 2024-09-03-e5_base_banking77_10000_en

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* Add model 2024-09-02-translate_model_v3_1_en

* Add model 2024-09-02-opus_maltese_english_russian_finetuned_english_tonga_tonga_islands_russian_niktiuk_en

* Add model 2024-09-03-sent_less_300000_xlm_roberta_mmar_recipe_10_128_en

* Add model 2024-09-02-emotion_text_classification_en

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* Add model 2024-09-02-baseroberta_finetuned_squadcovid_pipeline_en

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* Add model 2024-09-02-mformer_fairness_en

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* Add model 2024-09-03-xlm_roberta_base_finetuned_panx_italian_saqidr_en

* Add model 2024-09-03-roberta_classifier_autonlp_persian_farsi_473312409_en

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* Add model 2024-09-03-sent_entitycs_39_pep_malay_xlmr_base_xx

* Add model 2024-09-03-roberta_classifier_large_wanli_en

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* Add model 2024-09-02-marcel_customer_service_xlarge_masked_pipeline_en

* Add model 2024-09-03-distilroberta_base_mic_en

* Add model 2024-09-03-citation_classifier_roberta_base_pipeline_en

* Add model 2024-09-02-modelo_qa_beto_squad_spanish_pdqa_en

* Add model 2024-09-03-gptfuzz_en

* Add model 2024-09-02-albert_base_arabic_ar

* Add model 2024-09-02-albert_turkish_qa_turkish_squad_pipeline_tr

* Add model 2024-09-02-roberta_long_answer_nq_en

* Add model 2024-09-02-distilbert_uncased_names_pipeline_en

* Add model 2024-09-02-streetclip_en

* Add model 2024-09-02-distilbert_base_uncased_finetuned_emotions_jakeclark_en

* Add model 2024-09-03-clip_base_patch16_supervised_mulitilingual_800_en

* Add model 2024-09-03-custom_clip_en

* Add model 2024-09-03-drawify_snapsearch_pipeline_en

* Add model 2024-09-03-flip_base_16_en

* Add model 2024-09-03-deberta_embeddings_v3_large_dapt_scientific_papers_pubmed_pipeline_en

* Add model 2024-09-03-fashion_pattern_clip_pipeline_en

* Add model 2024-09-02-e2m_marianmt_tags_pipeline_en

* Add model 2024-09-02-tatar_pipeline_en

* Add model 2024-09-03-sent_checkpoint_23200_pipeline_en

* Add model 2024-09-03-fashion_clip_emaghakyan_en

* Add model 2024-09-03-fashion_clip_emaghakyan_pipeline_en

* Add model 2024-09-03-clip_base_patch16_supervised_mulitilingual_400_en

* Add model 2024-09-03-sent_xlm_roberta_base_finetuned_on_runaways_dutch_pipeline_en

* Add model 2024-09-02-sent_medbit_r3_plus_pipeline_it

* Add model 2024-09-03-deepdanbooruclip_pipeline_en

* Add model 2024-09-02-xlm_roberta_base_finetuned_panx_english_heerak_en

* Add model 2024-09-03-mi_roberta_base_finetuned_mental_health_en

* Add model 2024-09-01-hindi_albert_pipeline_hi

* Add model 2024-09-02-635_a2_albert_pipeline_en

* Add model 2024-09-03-clip_fashion_attribute_model_try_2_base32_pipeline_en

* Add model 2024-09-03-clip_vit_large_patch14_krnl_en

* Add model 2024-09-02-dummy_model_deva2_en

* Add model 2024-09-03-final_luna_sentiment_analysis_pipeline_en

* Add model 2024-09-02-norwegian_bokml_whisper_small_nbailab_no

* Add model 2024-09-02-distilbert_emotion_narapuram_en

* Add model 2024-09-02-spark_name_korean_tonga_tonga_islands_english_pipeline_en

* Add model 2024-09-02-e5_base_arguana_10000_pipeline_en

* Add model 2024-09-02-clip_seed_vit_noval_pipeline_en

* Add model 2024-09-03-clip_vit_tjklein_en

* Add model 2024-09-03-tools_a6000_0_00003_en

* Add model 2024-09-03-gptfuzz_pipeline_en

* Add model 2024-09-02-fine_tuned_bert_pipeline_en

* Add model 2024-09-02-4_datasets_fake_news_with_balanced_en

* Add model 2024-09-02-classify_clickbait_titles_en

* Add model 2024-09-02-distilbert_ner_wnut_model_pipeline_en

* Add model 2024-09-03-with_e5_small_v2_pipeline_en

* Add model 2024-09-03-with_e5_small_v2_en

* Add model 2024-09-03-e5_small_v2_vectoriseai_en

* Add model 2024-09-03-e5_small_v2_vectoriseai_pipeline_en

* Add model 2024-09-01-clinicalbertprqab_280_992_czech_en

* Add model 2024-09-01-roberta_base_bulgarian_pipeline_bg

* Add model 2024-09-02-xlm_roberta_base_finetuned_augument_visquad2_14_3_2023_1_en

* Add model 2024-09-02-frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline_en

* Add model 2024-09-02-norwegian_bokml_whisper_small_nbailab_pipeline_no

* Add model 2024-09-03-e5_large_unsupervised_pseudo_genq_1_pipeline_en

* Add model 2024-09-02-dummy_model_kprashanth_pipeline_en

* Add model 2024-09-02-fn_jll_hackathon_fine_tuned_qa_albert_squad_pipeline_en

* Add model 2024-09-03-embedded_e5_base_50_10_pipeline_en

* Add model 2024-09-03-gpl_e5_base_unsupervised_scifact_k10_en

* Add model 2024-09-02-testhelsinkimulenjpth02_en

* Add model 2024-09-02-darija_tonga_tonga_islands_english_full_en

* Add model 2024-09-03-embedded_e5_large_500_correct_en

* Add model 2024-09-03-gpl_e5_base_unsupervised_arguana_1_en

* Add model 2024-09-03-clip_ft_sim_en

* Add model 2024-09-02-translation_english_lug_v6_en

* Add model 2024-09-03-albert_base_qa_2_batch_1_en

* Add model 2024-09-03-albert_base_qa_2_batch_1_pipeline_en

* Add model 2024-09-02-dummy_model_bishgupp_en

* Add model 2024-09-01-emo_mobilebert_lordtt13_en

* Add model 2024-09-02-translation_english_vietnamese_official_pipeline_en

* Add model 2024-09-03-albert_base_qa_1_lr_1_en

* Add model 2024-09-03-albert_base_qa_2_k_fold_3_pipeline_en

* Add model 2024-09-03-albert_base_qa_coqa_2_k_fold_1_pipeline_en

* Add model 2024-09-03-albert_base_qa_coqa_2_k_fold_1_en

* Add model 2024-09-02-darija_tonga_tonga_islands_english_en

* Add model 2024-09-02-e5_base_arguana_10000_en

* Add model 2024-09-02-deberta_v3_large__sst2__train_16_2_en

* Add model 2024-09-02-xlm_robert_finetune_model_vn_ver2_pipeline_en

* Add model 2024-09-02-xlm_roberta_base_finetuned_panx_german_scionk_en

* Add model 2024-09-03-sent_xlm_roberta_base_indonesian_en

* Add model 2024-09-01-refpydst_1p_referredstates_split_v2_en

* Add model 2024-09-01-hinglish_distilbert_pipeline_en

* Add model 2024-09-03-tools_a6000_0_00003_pipeline_en

* Add model 2024-09-01-distilbert_base_uncased_finetuned_ner_hfdsajkfd_en

* Add model 2024-09-02-ner_phi0108_en

* Add model 2024-09-03-furina_with_transliteration_average_en

* Add model 2024-09-03-2_finetuned_xlm_r_masakhaner_swahili_macrolanguage_whole_word_phonetic_pipeline_en

* Add model 2024-09-02-marian_rinconada_tonga_tonga_islands_english_pipeline_en

* Add model 2024-09-02-dummy_model_lyla_pipeline_en

* Add model 2024-09-03-glot500_with_transliteration_minangkabau_en

* Add model 2024-09-03-xlmr_finetuned_en

* Add model 2024-09-03-xlmr_finetuned_pipeline_en

* Add model 2024-09-02-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_pontifexmaximus_en

* Add model 2024-09-02-dummy_model_plan_9_en

* Add model 2024-09-02-finetuning_sentiment_model_3000_samples_thp99_pipeline_en

* Add model 2024-09-03-xlm_roberta_base_finetuned_arabic_en

* Add model 2024-09-03-deberta_embeddings_v3_large_dapt_scientific_papers_pubmed_en

* Add model 2024-09-03-cleaned_e5_base_500_pipeline_en

* Add model 2024-09-03-checkpoint_12600_pipeline_en

* Add model 2024-09-03-xlm_roberta_base_finetuned_arabic_pipeline_en

* Add model 2024-09-02-bert_embeddings_custom_legalbert_en

* Add model 2024-09-03-checkpoint_12600_en

* Add model 2024-09-03-embedded_e5_large_500_correct_pipeline_en

* Add model 2024-09-03-clip_ft_sim_pipeline_en

* Add model 2024-09-02-albert_base_qa_coqa_2_k_fold_2_en

* Add model 2024-09-03-roberta_small_pun_detector_v2_pipeline_en

* Add model 2024-09-01-graphcodebert_base_pipeline_en

* Add model 2024-09-03-glot500_with_transliteration_max_pipeline_en

* Add model 2024-09-01-clipmd_pipeline_en

* Add model 2024-09-03-albert_base_qa_1_lr_1_pipeline_en

* Add model 2024-09-02-legal_roberta_base_lexlms_en

* Add model 2024-09-02-ukr_roberta_base_uk

* Add model 2024-09-02-dummy_model_nestornav_en

* Add model 2024-09-02-bsc_bio_ehr_spanish_cantemist_pipeline_es

* Add model 2024-09-03-e5_base_vectoriseai_en

* Add model 2024-09-03-wikipedia_categories_setfit_en

* Add model 2024-09-03-embedded_e5_base_500_en

* Add model 2024-09-03-wikipedia_categories_setfit_pipeline_en

* Add model 2024-09-03-dirty_e5_base_unsupervised_en

* Add model 2024-09-02-translation_en2zh_pipeline_en

* Add model 2024-09-01-deberta_v3_base_finetuned_squadv2_pipeline_en

* Add model 2024-09-03-m_e5_base_v2_e_2_t_llama_index_nan

* Add model 2024-09-03-m_e5_base_v2_e_2_t_llama_index_pipeline_nan

* Add model 2024-09-03-e5_100k_en

* Add model 2024-09-03-e5_base_unsupervised_scifact_5000_en

* Add model 2024-09-02-cuad_roberta_base_en

* Add model 2024-09-03-e5_base_scifact_10000_en

* Add model 2024-09-02-dummy_model_omenndt_pipeline_en

* Add model 2024-09-02-dummy_model_spaceman23_en

* Add model 2024-09-02-dummy_model_jonathanlin0707_en

* Add model 2024-09-03-distilroberta_nsfw_prompt_stable_diffusion_en

* Add model 2024-09-03-flip_base_16_pipeline_en

* Add model 2024-09-01-deberta_v3_base_company_names_pipeline_en

* Add model 2024-09-01-detect_acoso_twitter_spanish_pipeline_es

* Add model 2024-09-02-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_devyanikoshal_en

* Add model 2024-09-03-lab1_random_minhngca_en

* Add model 2024-09-03-lab1_random_minhngca_pipeline_en

* Add model 2024-09-02-indic_hindi_bengali_mlm_squad_tydi_mlqa_hi

* Add model 2024-09-02-squeezebert_finetuned_squadv2_pipeline_en

* Add model 2024-09-03-crossencoder_camembert_l2_mmarcofr_fr

* Add model 2024-09-03-e5_large_unsupervised_pseudo_genq_1_en

* Add model 2024-09-01-burmese_ws_extraction_model_pipeline_en

* Add model 2024-09-03-marian_finetuned_kde4_english_tonga_tonga_islands_portuguese_breton_en

* Add model 2024-09-03-finetuned_kde4_english_tonga_tonga_islands_french_pipeline_en

* Add model 2024-09-03-terjman_large_v2_ar

* Add model 2024-09-02-sent_bert_base_arabertv02_twitter_pipeline_ar

* Add model 2024-09-03-ancient_greek_to_1453_alignment_pipeline_en

* Add model 2024-09-03-opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_en

* Add model 2024-09-03-hel_english_french_4_layers_en

* Add model 2024-09-03-opus_maltese_english_dutch_finetuned__marian_theirs_train_val_en

* Add model 2024-09-03-opus_maltese_english_dutch_finetuned__marian_theirs_train_val_pipeline_en

* Add model 2024-09-03-marianmt_tatoeba_enru_pipeline_en

* Add model 2024-09-03-shanghainese_opus_chinese_serbocroatian_4000_pipeline_en

* Add model 2024-09-03-e5_base_v2_vectoriseai_en

* Add model 2024-09-03-spanish_finnish_all_pipeline_en

* Add model 2024-09-03-terjman_nano_pipeline_ar

* Add model 2024-09-03-vis_genome_fine_tuned_opus_maltese_english_hausa_pipeline_en

* Add model 2024-09-03-transmodel_arabic_english_en

* Add model 2024-09-03-opus_maltese_english_bkm_10e4encdec_en

* Add model 2024-09-03-opus_maltese_english_bkm_10e4encdec_pipeline_en

* Add model 2024-09-03-mariancg_conala_en

* Add model 2024-09-03-opus_maltese_urdu_english_finetuned_persian_farsi_tonga_tonga_islands_english_pipeline_en

* Add model 2024-09-03-mariancg_conala_pipeline_en

* Add model 2024-09-02-xlm_roberta_base_finetuned_panx_german_maxfrax_pipeline_en

* Add model 2024-09-03-cleaned_e5_large_unsupervised_8_en

* Add model 2024-09-03-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dwayne_en

* Add model 2024-09-03-opus_maltese_english_italian_finetuned_english_tonga_tonga_islands_italian_vfiona_en

* Add model 2024-09-02-albert_base_qa_2_lr_1_pipeline_en

* Add model 2024-09-03-gpl_e5_base_unsupervised_curated_2_small_en

* Add model 2024-09-02-n_distilbert_imdb_padding10model_realgon_pipeline_en

* Add model 2024-09-03-xlmroberta_ner_xlm_roberta_base_finetuned_amharic_finetuned_ner_amharic_am

* Add model 2024-09-03-xlmroberta_ner_mertyrgn_base_finetuned_panx_de

* Add model 2024-09-03-xlmroberta_ner_xlm_roberta_base_finetuned_amharic_finetuned_ner_amharic_pipeline_am

* Add model 2024-09-01-deberta_v3_large_fewnerd_fine_ner_en

* Add model 2024-09-03-xlmroberta_ner_robkayinto_base_finetuned_panx_en

* Add model 2024-09-03-xlm_roberta_base_finetuned_panx_german_natnova_pipeline_en

* Add model 2024-09-03-xlmroberta_ner_victen_base_finetuned_panx_de

* Add model 2024-09-02-deberta_v3_large_survey_fluency_rater_gpt4_en

* Add model 2024-09-03-xlmroberta_ner_robkayinto_base_finetuned_panx_pipeline_en

* Add model 2024-09-03-xlmroberta_ner_jboever_base_finetuned_panx_de

* Add model 2024-09-03-burmese_translation_helsinki_pipeline_en

* Add model 2024-09-03-xlm_roberta_base_finetuned_panx_german_tieincred_pipeline_en

* Add model 2024-09-03-sent_memo_model_4200_en

* Add model 2024-09-03-finetuned_polish_tonga_tonga_islands_szl_siling_corrected_aligned_20e_en

* Add model 2024-09-03-xlm_r_galen_meddocan_pipeline_es

* Add model 2024-09-03-xlmroberta_ner_flood_base_finetuned_panx_xx

* Add model 2024-09-03-xlmroberta_ner_flood_base_finetuned_panx_pipeline_xx

* Add model 2024-09-03-xlmroberta_ner_naam_base_finetuned_panx_pipeline_de

* Add model 2024-09-03-terjman_nano_ar

* Add model 2024-09-01-deberta_v3_base_fine_tuned_food_ner_en

* Add model 2024-09-03-wangchanberta_base_att_spm_uncased_finetuned_thainewspbs_th

* Add model 2024-09-02-balu94distilbert_en

* Add model 2024-09-03-spanish_finnish_all_en

* Add model 2024-09-02-bge_base_financial_matryoshka_test_4_pipeline_en

* Add model 2024-09-03-xlm_roberta_base_romanian_ner_ronec_pipeline_ro

* Add model 2024-09-02-finetuning_sentiment_model_3000_samples_bloodyaca_en

* Add model 2024-09-03-xlm_roberta_base_finetuned_panx_german_ffalcao_pipeline_en

* Add model 2024-09-02-learn_hf_food_not_food_text_classifier_distilbert_base_uncased_pipeline_en

* Add model 2024-09-02-all_mpnet_base_newtriplets_v2_lr_1e_8_m_1_e_3_en

* Add model 2024-09-03-xlmroberta_ner_jonfrank_base_finetuned_panx_de

* Add model 2024-09-03-turkish_tonga_tonga_islands_english_finetuned_model_pipeline_en

* Add model 2024-09-03-xlmroberta_ner_jonfrank_base_finetuned_panx_pipeline_de

* Add model 2024-09-02-bert_italian_uncased_question_answering_it

* Add model 2024-09-03-e5_100k_pipeline_en

* Add model 2024-09-03-swahili_english_en

---------

Co-authored-by: ahmedlone127 <[email protected]>

* 2024-09-03-xlmroberta_ner_base_indonesian_pipeline_id (#14391)

* Add model 2024-09-04-mindact_candidategeneration_deberta_v3_base_en

* Add model 2024-09-05-xlm_roberta_base_finetuned_lingala_pipeline_en

* Add model 2024-09-04-deberta_v3_xsmall_mnli_en

* Add model 2024-09-05-zhenyin_awesome_model_pipeline_en

* Add model 2024-09-04-medicalbert_en

* Add model 2024-09-04-tiny_random_bertfortokenclassification_ydshieh_en

* Add model 2024-09-05-burmese_awesome_wnut_model_jasonjche_en

* Add model 2024-09-04-roberta_qa_roberta_large_bne_squad_2.0_spanish_jamarju_pipeline_es

* Add model 2024-09-05-afro_xlmr_base_finetuned_kintweetsd_pipeline_en

* Add model 2024-09-04-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_srirad_en

* Add model 2024-09-05-pp_wnut_model_en

* Add model 2024-09-05-distilbert_base_uncased_tokenclassification_yeji_seong_pipeline_en

* Add model 2024-09-05-tsc_classification_model_pipeline_en

* Add model 2024-09-05-lab1_true_random_en

* Add model 2024-09-05-indic_bert_finetuned_legal_try0_en

* Add model 2024-09-05-albert_emotion_sangmitra_06_pipeline_en

* Add model 2024-09-05-albert_emotion_sangmitra_06_en

* Add model 2024-09-03-dummy_model_0xeloco_pipeline_en

* Add model 2024-09-05-b_base_x2_pipeline_en

* Add model 2024-09-05-b_base_x2_en

* Add model 2024-09-05-finetuning_movie_sentiment_analysis_pipeline_en

* Add model 2024-09-05-inproceedings_recognizer_pipeline_en

* Add model 2024-09-04-argureviews_specificity_deberta_v1_en

* Add model 2024-09-05-finetuning_sentiment_model_3000_samples_gaurimm_pipeline_en

* Add model 2024-09-05-distilbert_base_uncased_finetuned_emotion_temp2_pipeline_en

* Add model 2024-09-05-imdbreviews_classification_distilbert_v02_sebasr0_en

* Add model 2024-09-05-n_distilbert_imdb_padding50model_pipeline_en

* Add model 2024-09-05-finetuning_sentiment_ditilbert_pipeline_en

* Add model 2024-09-05-finetuning_sentiment_ditilbert_en

* Add model 2024-09-05-finetuning_ift6758_hw6_sentiment_model_en

* Add model 2024-09-05-pii_model_ankitcodes_pipeline_en

* Add model 2024-09-05-arabic_ner_ace_ar

* Add model 2024-09-05-bert_finetuned_ner_clinical_plncmm_large_25_en

* Add model 2024-09-05-category_1_delivery_cancellation_distilbert_base_cased_v1_pipeline_en

* Add model 2024-09-05-bert_ner_rubertconv_toxic_editor_ru

* Add model 2024-09-04-feelings_a6000_0_00001_pipeline_en

* Add model 2024-09-05-albert_persian_farsi_zwnj_base_v2_ner_fa

* Add model 2024-09-05-albert_persian_farsi_zwnj_base_v2_ner_pipeline_fa

* Add model 2024-09-04-distilbert_base_uncased_finetuned_squad_d5716d28_sonny_en

* Add model 2024-09-05-rubert_base_cased_conversational_ner_v3_pipeline_en

* Add model 2024-09-04-yelp_polarity_microsoft_deberta_v3_base_seed_1_pipeline_en

* Add model 2024-09-05-bert_token_classifier_reddit_ner_place_names_en

* Add model 2024-09-05-bert_based_turkish_ner_wikiann_tr

* Add model 2024-09-05-indonesian_bert_base_ner_indonlu_en

* Add model 2024-09-05-glot500_with_transliteration_average_en

* Add model 2024-09-02-deberta_v3_base_squad2_ext_v1_pipeline_en

* Add model 2024-09-05-sent_less_100000_xlm_roberta_mmar_recipe_10_base_en

* Add model 2024-09-04-sent_dziribert_ar

* Add model 2024-09-04-legal_xlm_roberta_large_xx

* Add model 2024-09-04-burmese_awesome_wnut_all_time_en

* Add model 2024-09-04-twitter_roberta_large_emotion_latest_pipeline_en

* Add model 2024-09-04-burmese_awesome_wnut_model_robinsh2023_en

* Add model 2024-09-04-cola_deberta_v3_large_pipeline_en

* Add model 2024-09-05-roberta_base_finetuned_ner_sevixdd_en

* Add model 2024-09-05-distilbert_ner_sahuh_pipeline_en

* Add model 2024-09-05-roberta_base_ner_updated_mn

* Add model 2024-09-05-afro_xlmr_base_finetuned_kintweetsc_en

* Add model 2024-09-05-roberta_base_ner_demo_sanchirjav_pipeline_mn

* Add model 2024-09-05-roberta_base_ner_demo_sanchirjav_mn

* Add model 2024-09-05-nuner_v2_fewnerd_fine_super_pipeline_en

* Add model 2024-09-05-burmese_awesome_wnut_model_honganh_en

* Add model 2024-09-05-test_ner_en

* Add model 2024-09-05-roberta_skills_ner_en

* Add model 2024-09-05-ner_meddocan_es

* Add model 2024-09-05-roberta_base_finetuned_ner_lobrien001_pipeline_en

* Add model 2024-09-05-burmese_awesome_wnut_model_donbasta_en

* Add model 2024-09-05-privacy_200k_masking_en

* Add model 2024-09-05-our_awesome_bert_model_pipeline_en

* Add model 2024-09-05-opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_en

* Add model 2024-09-05-imdb_spoiler_distilbertorigdatasetlr3_en

* Add model 2024-09-05-albert_xxlarge_v2_disaster_twitter_v2_en

* Add model 2024-09-04-sanbert_from_scratch_pipeline_en

* Add model 2024-09-05-finance_news_classifier_kanuri_v7_ko

* Add model 2024-09-04-argureviews_specificity_deberta_v1_pipeline_en

* Add model 2024-09-05-xlm_roberta_base_finetuned_marc_english_danwilbury_pipeline_en

* Add model 2024-09-03-sent_glot500_base_pipeline_en

* Add model 2024-09-04-distilbert_alex_pipeline_en

* Add model 2024-09-03-burmese_awesome_model_yagina_en

* Add model 2024-09-03-mariannmt_tatoeba_luxembourgish_english_pipeline_lb

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---
layout: model
title: MPnetForTokenClassification Base Model English
author: John Snow Labs
name: mpnet_base_token_classifier
date: 2024-07-01
tags: [token_classification, mpnet, ner, en, open_source, onnx]
task: Named Entity Recognition
language: en
edition: Spark NLP 5.4.0
spark_version: 3.0
supported: true
engine: onnx
annotator: MPNetForTokenClassification
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained MPNetForTokenClassification, fine tuned in huggingface in house and then imported to Spark-NLP o provide scalability and production-readiness.

{:.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/mpnet_base_token_classifier_en_5.4.0_3.0_1719843589238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_token_classifier_en_5.4.0_3.0_1719843589238.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

documentAssembler = DocumentAssembler() \
.setInputCol('text') \
.setOutputCol('document')

tokenizer = Tokenizer() \
.setInputCols(['document']) \
.setOutputCol('token')

tokenClassifier = MPNetForTokenClassification.pretrained("mpnet_base_token_classifier","en") \
.setInputCols(["documents","token"]) \
.setOutputCol("ner")

pipeline = Pipeline().setStages([documentAssembler, tokenizer, tokenClassifier])
data = spark.createDataFrame([["I love spark-nlp"]]).toDF("text")
pipelineModel = pipeline.fit(data)
pipelineDF = pipelineModel.transform(data)

```
```scala

val documentAssembler = new DocumentAssembler()
.setInputCols("text")
.setOutputCols("document")

val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")

val tokenClassifier = MPNetForTokenClassification.pretrained("mpnet_base_token_classifier", "en")
.setInputCols(Array("documents","token"))
.setOutputCol("ner")

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier))
val data = Seq("I love spark-nlp").toDS.toDF("text")
val pipelineModel = pipeline.fit(data)
val pipelineDF = pipelineModel.transform(data)

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|mpnet_base_token_classifier|
|Compatibility:|Spark NLP 5.4.0+|
|License:|Open Source|
|Edition:|Official|
|Input Labels:|[token, document]|
|Output Labels:|[label]|
|Language:|en|
|Size:|395.9 MB|
|Case sensitive:|true|
84 changes: 84 additions & 0 deletions docs/_posts/ahmedlone127/2024-07-03-mistral_7b_en.md
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---
layout: model
title: Mistral text-to-text model 7b int8
author: John Snow Labs
name: mistral_7b
date: 2024-07-03
tags: [mistral, en, llm, open_source, openvino]
task: Text Generation
language: en
edition: Spark NLP 5.4.0
spark_version: 3.0
supported: true
engine: openvino
annotator: MistralTransformer
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained MistralTransformer, adapted and imported into Spark NLP.

{:.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/mistral_7b_en_5.4.0_3.0_1720021606199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mistral_7b_en_5.4.0_3.0_1720021606199.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

documentAssembler = DocumentAssembler() \
.setInputCol('text') \
.setOutputCol('document')

mistral = MistralTransformer .pretrained() \
.setMaxOutputLength(50) \
.setDoSample(False) \
.setInputCols(["document"]) \
.setOutputCol("mistral_generation")

pipeline = Pipeline().setStages([documentAssembler, mistral])
data = spark.createDataFrame([["Who is the founder of Spark-NLP?"]]).toDF("text")
pipelineModel = pipeline.fit(data)
pipelineDF = pipelineModel.transform(data)

```
```scala

val documentAssembler = new DocumentAssembler()
.setInputCols("text")
.setOutputCols("document")

val mistral = MistralTransformer .pretrained()
.setMaxOutputLength(50)
.setDoSample(False)
.setInputCols(["document"])
.setOutputCol("mistral_generation")

val pipeline = new Pipeline().setStages(Array(documentAssembler, mistral))
val data = Seq("Who is the founder of Spark-NLP?").toDS.toDF("text")
val pipelineModel = pipeline.fit(data)
val pipelineDF = pipelineModel.transform(data)

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|mistral_7b|
|Compatibility:|Spark NLP 5.4.0+|
|License:|Open Source|
|Edition:|Official|
|Language:|en|
|Size:|6.6 GB|
80 changes: 80 additions & 0 deletions docs/_posts/ahmedlone127/2024-07-05-phi2_7b_en.md
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---
layout: model
title: Phi2 text-to-text model 7b int8
author: John Snow Labs
name: phi2
date: 2024-07-05
tags: [phi2, en, llm, open_source, openvino]
task: Text Generation
language: en
edition: Spark NLP 5.4.0
spark_version: 3.0
supported: true
engine: openvino
annotator: Phi2Transformer
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained phi2 model , adapted and imported into Spark NLP.

{:.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/phi2_en_5.4.0_3.0_1720187078320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phi2_en_5.4.0_3.0_1720187078320.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

documentAssembler = DocumentAssembler() \
.setInputCol('text') \
.setOutputCol('document')

phi2 = Phi2Transformer \
.pretrained() \
.setMaxOutputLength(50) \
.setDoSample(False) \
.setInputCols(["document"]) \
.setOutputCol("phi2_generation")

pipeline = Pipeline().setStages([documentAssembler, phi2])
data = spark.createDataFrame([["Who is the founder of Spark-NLP?"]]).toDF("text")
pipelineModel = pipeline.fit(data)
pipelineDF = pipelineModel.transform(data)

```
```scala

val documentAssembler = new DocumentAssembler()
.setInputCols("text")
.setOutputCols("document")

val phi2 = Phi2Transformer .pretrained() .setMaxOutputLength(50) .setDoSample(False) .setInputCols(["document"]) .setOutputCol("phi2_generation")

val pipeline = new Pipeline().setStages(Array(documentAssembler, phi2))
val data = Seq("Who is the founder of Spark-NLP?").toDS.toDF("text")
val pipelineModel = pipeline.fit(data)
val pipelineDF = pipelineModel.transform(data)
```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|phi2|
|Compatibility:|Spark NLP 5.4.0+|
|License:|Open Source|
|Edition:|Official|
|Language:|en|
|Size:|9.1 GB|
71 changes: 71 additions & 0 deletions docs/_posts/ahmedlone127/2024-07-12-bart_large_cnn_en.md
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---
layout: model
title: BART (large-sized model), fine-tuned on CNN Daily Mail
author: John Snow Labs
name: bart_large_cnn
date: 2024-07-12
tags: [bart, bartsummarization, cnn, text_to_text, en, open_source, tensorflow]
task: Summarization
language: en
edition: Spark NLP 5.4.0
spark_version: 3.0
supported: true
engine: tensorflow
annotator: BartTransformer
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

BART model pre-trained on English language, and fine-tuned on CNN Daily Mail. It was introduced in the paper BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension by Lewis et al. and first released in [this repository (https://github.com/pytorch/fairseq/tree/master/examples/bart).

Disclaimer: The team releasing BART did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description
BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.

BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering). This particular checkpoint has been fine-tuned on CNN Daily Mail, a large collection of text-summary pairs

{:.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_5.4.0_3.0_1720754758442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
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## How to use



<div class="tabs-box" markdown="1">
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python

bart = BartTransformer.pretrained("bart_large_cnn") .setTask("summarize:") .setMaxOutputLength(200) .setInputCols(["documents"]) .setOutputCol("summaries")

```
```scala

val bart = BartTransformer.pretrained("bart_large_cnn")
.setTask("summarize:")
.setMaxOutputLength(200)
.setInputCols("documents")
.setOutputCol("summaries")

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|bart_large_cnn|
|Compatibility:|Spark NLP 5.4.0+|
|License:|Open Source|
|Edition:|Official|
|Input Labels:|[documents]|
|Output Labels:|[generation]|
|Language:|en|
|Size:|974.9 MB|
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