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Models hub (#14490)
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* Add model 2024-12-17-tinybert_berttoken_toxigen_pretrain_en

* Add model 2024-12-17-klue_bert_mlm_bible_pipeline_en

* Add model 2024-12-17-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_1_pipeline_en

* Add model 2024-12-17-bert_base_uncased_finetuned_news_1975_1976_pipeline_en

* Add model 2024-12-17-bert_base_uncased_finetuned_news_1975_1976_en

* Add model 2024-12-17-kuglerk_adapted_bert_base_cased_en

* Add model 2024-12-17-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_1_en

* Add model 2024-12-17-muril_large_cased_tweet_devnagri_grouped_en

* Add model 2024-12-17-bert_wordpiece_phonetic_wikitext_pipeline_en

* Add model 2024-12-17-bert_wordpiece_phonetic_wikitext_en

* Add model 2024-12-17-tinybert_berttoken_toxigen_pretrain_pipeline_en

* Add model 2024-12-17-korean_bert_base_en

* Add model 2024-12-17-klue_bert_mlm_bible_en

* Add model 2024-12-17-kuglerk_adapted_bert_base_cased_pipeline_en

* Add model 2024-12-17-korean_bert_base_pipeline_en

* Add model 2024-12-17-just_first_try_tonga_tonga_islands_burmese_diplom_onbert_minea_2epoch_pipeline_en

* Add model 2024-12-17-ancient_semitic_bert_pipeline_ar

* Add model 2024-12-17-muril_large_cased_tweet_devnagri_grouped_pipeline_en

* Add model 2024-12-17-ancient_semitic_bert_ar

* Add model 2024-12-17-just_first_try_tonga_tonga_islands_burmese_diplom_onbert_minea_2epoch_en

* Add model 2024-12-17-xlm_roberta_comet_small_operator_en

* Add model 2024-12-17-xlm_roberta_comet_small_operator_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_train_2_en

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_train_2_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_nepal_bhasa_vietnam_aug_swap_en

* Add model 2024-12-17-xlm_roberta_base_finetuned_t_value_en

* Add model 2024-12-17-xlm_roberta_base_nepal_bhasa_vietnam_aug_swap_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_finetuned_t_value_pipeline_en

* Add model 2024-12-17-somd_xlm_stage2_v1_en

* Add model 2024-12-17-danskbert_fgn_yemen2016_en

* Add model 2024-12-17-somd_xlm_stage2_v1_pipeline_en

* Add model 2024-12-17-danskbert_fgn_yemen2016_pipeline_en

* Add model 2024-12-17-bge_ecom_trends_classifier_ru

* Add model 2024-12-17-bge_ecom_trends_classifier_pipeline_ru

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_aug_replace_bert_en

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_aug_replace_tfidf_1_en

* Add model 2024-12-17-nepaliexamgrader_en

* Add model 2024-12-17-bert_en

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_aug_replace_tfidf_1_pipeline_en

* Add model 2024-12-17-bert_pipeline_en

* Add model 2024-12-17-nepaliexamgrader_pipeline_en

* Add model 2024-12-17-emotion_roberta_hungarian6_pipeline_hu

* Add model 2024-12-17-scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_beta_en

* Add model 2024-12-17-soluciona_fm_tcv_3_trainval_en

* Add model 2024-12-17-scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_beta_pipeline_en

* Add model 2024-12-17-xlmr_english_chinese_all_shuffled_1986_test2000_en

* Add model 2024-12-17-soluciona_fm_tcv_3_trainval_pipeline_en

* Add model 2024-12-17-emotion_roberta_hungarian6_hu

* Add model 2024-12-17-xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinre_tweet_finetuned_kinyarwanda_sent1_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en

* Add model 2024-12-17-furina_seed42_eng_esp_kinyarwanda_basic_en

* Add model 2024-12-17-xlm_roberta_base_vsmec_1_en

* Add model 2024-12-17-xlm_roberta_base_finetuned_kinyarwanda_kinre_finetuned_kinre_tweet_finetuned_kinyarwanda_sent1_en

* Add model 2024-12-17-xlm_roberta_base_vsmec_1_pipeline_en

* Add model 2024-12-17-furina_seed42_eng_esp_kinyarwanda_basic_pipeline_en

* Add model 2024-12-17-xlm_roberta_45k_boduoi_test10k_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_final_mixed_aug_swap_2_en

* Add model 2024-12-17-scenario_non_kd_scr_copy_cdf_cl_d2_data_cl_cardiff_cl_only_gamma_en

* Add model 2024-12-17-xml_roberta_base_finetuned_70kurl_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_wordnet_dataset_three_fine_tuned_pipeline_en

* Add model 2024-12-17-sentiment_analysis_tuning_pipeline_en

* Add model 2024-12-17-sentiment_analysis_tuning_en

* Add model 2024-12-17-sentiment_analysis_all_category_111024_0_en

* Add model 2024-12-17-xlm_roberta_45k_boduoi_test10k_en

* Add model 2024-12-17-sentiment_analysis_all_category_111024_0_pipeline_en

* Add model 2024-12-17-test_trainer_fatemehsaadatmand_pipeline_en

* Add model 2024-12-17-xlm_roberta_base_wordnet_dataset_three_fine_tuned_en

* Add model 2024-12-17-xlm_roberta_base_final_mixed_aug_swap_2_pipeline_en

* Add model 2024-12-17-xlmr_english_chinese_all_shuffled_1986_test2000_pipeline_en

* Add model 2024-12-17-scenario_non_kd_scr_copy_cdf_cl_d2_data_cl_cardiff_cl_only_gamma_pipeline_en

* Add model 2024-12-17-xml_roberta_base_finetuned_70kurl_en

* Add model 2024-12-17-xlm_roberta_base_vife_pipeline_en

* Add model 2024-12-17-test_trainer_fatemehsaadatmand_en

* Add model 2024-12-17-xlm_roberta_base_vife_en

* Add model 2024-12-17-xlm_roberta_base_sst2_1_en

* Add model 2024-12-17-vit_small_patch16_224_winkawaks_en

* Add model 2024-12-17-vit_small_patch16_224_winkawaks_pipeline_en

* Add model 2024-12-17-vit_base_mnist_farleyknight_org_username_en

* Add model 2024-12-17-vit_large_patch32_384_google_en

* Add model 2024-12-17-vit_fire_detection_edbianchi_pipeline_en

* Add model 2024-12-17-vit_base_patch16_224_in21k_finetuned_cifar10_aaraki_pipeline_en

* Add model 2024-12-17-nsfw_image_detection_en

* Add model 2024-12-17-vit_fire_detection_edbianchi_en

* Add model 2024-12-17-vit_base_mnist_farleyknight_org_username_pipeline_en

* Add model 2024-12-17-faces_age_detection_en

* Add model 2024-12-17-vit_facial_expression_recognition_motheecreator_en

* Add model 2024-12-17-nsfw_image_detection_pipeline_en

* Add model 2024-12-17-ai_vs_real_image_detection_dima806_en

* Add model 2024-12-17-vit_facial_expression_recognition_motheecreator_pipeline_en

* Add model 2024-12-17-vit_base_patch16_224_in21k_finetuned_cifar10_aaraki_en

* Add model 2024-12-17-faces_age_detection_pipeline_en

* Add model 2024-12-17-vit_large_patch32_384_google_pipeline_en

* Add model 2024-12-17-ai_vs_real_image_detection_dima806_pipeline_en

* Add model 2024-12-17-swin_brain_tumor_type_classification_en

* Add model 2024-12-17-faceaiornot_en

* Add model 2024-12-17-swin_brain_tumor_type_classification_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_morganchen1007_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_sdgroeve_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_bryanzhou008_en

* Add model 2024-12-17-s1_m1_r3_swint_42500766_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_morganchen1007_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_qianwei_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_nielsr_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_mavourin_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_mohameddemes_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_cac_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_cac_pipeline_en

* Add model 2024-12-17-finalproject_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_marvind434_en

* Add model 2024-12-17-swin_large_ai_oriya_not_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_marvind434_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_img_orientation_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_bryanzhou008_pipeline_en

* Add model 2024-12-17-cards_bottom_right_swin_tiny_patch4_window7_224_finetuned_v2_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_spa_saloon_classification_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_jazzweller_pipeline_en

* Add model 2024-12-17-finalproject_pipeline_en

* Add model 2024-12-17-robbert_v2_dutch_base_finetuned_sentiment_en

* Add model 2024-12-17-robbert_v2_dutch_base_finetuned_sentiment_pipeline_en

* Add model 2024-12-17-roberta_political_ideology_classifier_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_mavourin_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_herbify_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_jazzweller_en

* Add model 2024-12-17-face_mask_detection_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_qianwei_pipeline_en

* Add model 2024-12-17-voice_classifier_gpt4_data_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_sdgroeve_pipeline_en

* Add model 2024-12-17-face_mask_detection_en

* Add model 2024-12-17-s1_m1_r3_swint_42500766_pipeline_en

* Add model 2024-12-17-robert_dutch_text_classification_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_img_orientation_en

* Add model 2024-12-17-twitter_roberta_large_sensitive_binary_en

* Add model 2024-12-17-roberta_political_ideology_classifier_pipeline_en

* Add model 2024-12-17-distilroberta_base_stocktwits_sentiment_en

* Add model 2024-12-17-roberta_large_pytorch_alldata_v01_en

* Add model 2024-12-17-roberta_large_pytorch_alldata_v01_pipeline_en

* Add model 2024-12-17-roberta_senti_neologism_full_finetune_pipeline_en

* Add model 2024-12-17-bert_turkish_sentiment_pipeline_en

* Add model 2024-12-17-ruroberta_ecom_tech_best_pipeline_ru

* Add model 2024-12-17-fake_news_detection_roberta_pipeline_en

* Add model 2024-12-17-robert_dutch_text_classification_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_isic217_en

* Add model 2024-12-17-roberta_senti_neologism_full_finetune_en

* Add model 2024-12-17-distilroberta_base_stocktwits_sentiment_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_diana9m_pipeline_en

* Add model 2024-12-17-bge_small_english_v1_5_mnsr_6_en

* Add model 2024-12-17-bge_embedding_finetune_v3_en

* Add model 2024-12-17-bge_base_english_v1_5_eeid_all_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_vit_amiqinayat_pipeline_en

* Add model 2024-12-17-finetuned_bge_base_english_en

* Add model 2024-12-17-bge_base_english_v1_5_41_keys_phase_4_exp_v1_en

* Add model 2024-12-17-bge_small_qs_en

* Add model 2024-12-17-bge_99gpt_v1_test_pipeline_en

* Add model 2024-12-17-bge_based_arg_minibio_matryoshka_en

* Add model 2024-12-17-word_order_bge_pipeline_en

* Add model 2024-12-17-bge_fine_tuned_pipeline_en

* Add model 2024-12-17-bge_base_financial_matryoshka_abhiram_en

* Add model 2024-12-17-bge_base_english_v1_5_eeid_all_en

* Add model 2024-12-17-bge_base_financial_matryoshka_test_pipeline_en

* Add model 2024-12-17-bge_base_financial_matryoshka_jksheth_en

* Add model 2024-12-17-bge_base_financial_matryoshka_jksheth_pipeline_en

* Add model 2024-12-17-bge_large_mpnet_base_all_nli_triplet_final_50000_en

* Add model 2024-12-17-mpac_bge_large_en

* Add model 2024-12-17-bge_based_arg_minibio_matryoshka_pipeline_en

* Add model 2024-12-17-mpac_bge_large_pipeline_en

* Add model 2024-12-17-word_order_bge_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_isic217_pipeline_en

* Add model 2024-12-17-swin_large_ai_oriya_not_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_spa_saloon_classification_en

* Add model 2024-12-17-cards_top_left_swin_tiny_patch4_window7_224_finetuned_dough_100_epoch_pipeline_en

* Add model 2024-12-17-finetuned_bge_base_english_pipeline_en

* Add model 2024-12-17-bge_base_case_law_v1_en

* Add model 2024-12-17-bge_base_financial_matryoshka_riteshmmenon_pipeline_en

* Add model 2024-12-17-roberta_fake_news_detector_en

* Add model 2024-12-17-ruroberta_ecom_tech_best_ru

* Add model 2024-12-17-distilroberta_dark_pattern_aditizingre07_en

* Add model 2024-12-17-bge_base_financial_matryoshka_test_en

* Add model 2024-12-17-bge_base_financial_matryoshka_riteshmmenon_en

* Add model 2024-12-17-bge_base_financial_matryoshka_mik997_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_vit_amiqinayat_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_mohameddemes_en

* Add model 2024-12-17-voice_classifier_gpt4_data_pipeline_en

* Add model 2024-12-17-faceaiornot_pipeline_en

* Add model 2024-12-17-twitter_roberta_large_sensitive_binary_pipeline_en

* Add model 2024-12-17-bge_base_financial_matryoshka_avinashc_en

* Add model 2024-12-17-cards_bottom_right_swin_tiny_patch4_window7_224_finetuned_v2_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_eurosat_nielsr_pipeline_en

* Add model 2024-12-17-roberta_fake_news_detector_pipeline_en

* Add model 2024-12-17-cards_top_left_swin_tiny_patch4_window7_224_finetuned_dough_100_epoch_en

* Add model 2024-12-17-bge_base_financial_matryoshka_avinashc_pipeline_en

* Add model 2024-12-17-bge_small_qs_pipeline_en

* Add model 2024-12-17-bge_base_case_law_v1_pipeline_en

* Add model 2024-12-17-bge_embedding_finetune_v3_pipeline_en

* Add model 2024-12-17-bge_base_english_v1_5_course_recommender_v1_en

* Add model 2024-12-17-distilroberta_dark_pattern_aditizingre07_pipeline_en

* Add model 2024-12-17-bge_base_english_v1_5_41_keys_phase_4_exp_v1_pipeline_en

* Add model 2024-12-17-bge_base_english_v1_5_course_recommender_v1_pipeline_en

* Add model 2024-12-17-swin_tiny_patch4_window7_224_finetuned_herbify_pipeline_en

* Add model 2024-12-17-bge_base_financial_matryoshka_mik997_en

* Add model 2024-12-17-fake_news_detection_roberta_en

* Add model 2024-12-17-bert_turkish_sentiment_en

* Add model 2024-12-17-bge_small_english_v1_5_mnsr_6_pipeline_en

* Add model 2024-12-17-bge_base_financial_matryoshka_abhiram_pipeline_en

* Add model 2024-12-17-bge_99gpt_v1_test_en

* Add model 2024-12-17-bge_fine_tuned_en

---------

Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>

* 2024-12-18-rgb_language_cap_pipeline_en (#14486)

* Add model 2024-12-19-burmese_t5_small_test_tretchian_en

* Add model 2024-12-19-google_flan_large_q_own_pipeline_en

* Add model 2024-12-19-t5_large_sum_dpo_25k_8_1ep_pipeline_en

* Add model 2024-12-19-legal_pashto_prosecution_flan_t5_pipeline_en

* Add model 2024-12-19-t5_large_sum_dpo_50k_4_1ep_en

* Add model 2024-12-19-flan_t5_small_rafahorn03_pipeline_en

* Add model 2024-12-19-t5_large_sum_dpo_50k_4_1ep_pipeline_en

* Add model 2024-12-19-google_flan_large_q_own_en

* Add model 2024-12-19-burmese_t5_small_test_tretchian_pipeline_en

* Add model 2024-12-19-pruned_model_en

* Add model 2024-12-19-mt5_small_bif02_en

* Add model 2024-12-19-mt5_small_bif02_pipeline_en

* Add model 2024-12-19-flan_t5_rouge_durga_q5_clean_4b_pipeline_en

* Add model 2024-12-19-mt5_base_anaphora_czech_3e_pipeline_en

* Add model 2024-12-19-bert_base_uncased_reuters21578_reducedto15_2_gram_en

* Add model 2024-12-19-bert_base_uncased_reuters21578_reducedto15_2_gram_pipeline_en

* Add model 2024-12-19-results_altan01_en

* Add model 2024-12-19-results_altan01_pipeline_en

* Add model 2024-12-19-fine_tuned_marbertv2_en

* Add model 2024-12-19-dnabert2_promoter_pipeline_en

* Add model 2024-12-19-dnabert2_promoter_en

* Add model 2024-12-19-reason_nepal_bhasa_pipeline_en

* Add model 2024-12-19-javanese_sentiment_analysis_indobert_pipeline_id

* Add model 2024-12-19-dnabert2_h3k27me3_pipeline_en

* Add model 2024-12-19-fine_tuned_marbertv2_pipeline_en

* Add model 2024-12-19-bert_bahasa_sentiment_en

* Add model 2024-12-19-bert_base_multilingual_cased_finetuned_hate_speech_ptbr_xx

* Add model 2024-12-19-javanese_sentiment_analysis_indobert_id

* Add model 2024-12-19-dnabert2_h3k27me3_en

* Add model 2024-12-19-subjectiveqa_specific_en

* Add model 2024-12-19-fine_tuned_bert_financial_sentiment_analysis_pipeline_en

* Add model 2024-12-19-peace_bert_en

* Add model 2024-12-19-book_reviews_model_en

* Add model 2024-12-19-bert_large_finetuned_phishing_hoanganhvu_en

* Add model 2024-12-19-dnabert2_lncrnas_en

* Add model 2024-12-19-numerical_en

* Add model 2024-12-19-caribbean_english_sentiment_fine_tuned_bert_mrarish320_pipeline_en

* Add model 2024-12-19-book_reviews_model_pipeline_en

* Add model 2024-12-19-bert_bahasa_sentiment_pipeline_en

* Add model 2024-12-19-peace_bert_pipeline_en

* Add model 2024-12-19-bert_large_finetuned_phishing_hoanganhvu_pipeline_en

* Add model 2024-12-19-subjectiveqa_specific_pipeline_en

* Add model 2024-12-19-bert_base_ai_content_detector_en

* Add model 2024-12-19-dnabert2_lncrnas_pipeline_en

* Add model 2024-12-19-numerical_pipeline_en

* Add model 2024-12-19-classification_model_house_assistance_phayathaibert_error_pipeline_en

* Add model 2024-12-19-caribbean_english_sentiment_fine_tuned_bert_mrarish320_en

* Add model 2024-12-19-bert_base_multilingual_cased_finetuned_hate_speech_ptbr_pipeline_xx

* Add model 2024-12-19-fine_tuned_bert_financial_sentiment_analysis_en

* Add model 2024-12-19-classification_model_house_assistance_phayathaibert_error_en

* Add model 2024-12-19-bert_base_arabic_camelbert_catalan_tydi_tafseer_pairs_pipeline_en

* Add model 2024-12-19-roberta_base_en

* Add model 2024-12-19-roberta_base_pipeline_en

* Add model 2024-12-19-bert_base_ai_content_detector_pipeline_en

* Add model 2024-12-19-reason_nepal_bhasa_en

* Add model 2024-12-19-bert_base_arabic_camelbert_catalan_tydi_tafseer_pairs_en

* Add model 2024-12-19-tinier_bart_en

* Add model 2024-12-19-tinier_bart_pipeline_en

* Add model 2024-12-19-distilbart_xsum_12_1_sshleifer_en

* Add model 2024-12-19-distilbart_xsum_12_1_sshleifer_pipeline_en

* Add model 2024-12-19-biobart_large_en

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---------

Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>

---------

Co-authored-by: jsl-models <74001263+jsl-models@users.noreply.github.com>
Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
Co-authored-by: github-actions <action@github.com>
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94 changes: 94 additions & 0 deletions ..._posts/ahmedlone127/2024-12-18-autotrain_ecb_uncertainty_deberta_v3_large_en.md
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---
layout: model
title: English autotrain_ecb_uncertainty_deberta_v3_large DeBertaForSequenceClassification from jjonas313
author: John Snow Labs
name: autotrain_ecb_uncertainty_deberta_v3_large
date: 2024-12-18
tags: [en, open_source, onnx, sequence_classification, deberta]
task: Text Classification
language: en
edition: Spark NLP 5.5.1
spark_version: 3.0
supported: true
engine: onnx
annotator: DeBertaForSequenceClassification
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_ecb_uncertainty_deberta_v3_large` is a English model originally trained by jjonas313.

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_ecb_uncertainty_deberta_v3_large_en_5.5.1_3.0_1734561918485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ecb_uncertainty_deberta_v3_large_en_5.5.1_3.0_1734561918485.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')

sequenceClassifier = DeBertaForSequenceClassification.pretrained("autotrain_ecb_uncertainty_deberta_v3_large","en") \
.setInputCols(["documents","token"]) \
.setOutputCol("class")

pipeline = Pipeline().setStages([documentAssembler, tokenizer, sequenceClassifier])
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(Array("document"))
.setOutputCol("token")

val sequenceClassifier = DeBertaForSequenceClassification.pretrained("autotrain_ecb_uncertainty_deberta_v3_large", "en")
.setInputCols(Array("documents","token"))
.setOutputCol("class")

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
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:|autotrain_ecb_uncertainty_deberta_v3_large|
|Compatibility:|Spark NLP 5.5.1+|
|License:|Open Source|
|Edition:|Official|
|Input Labels:|[document, token]|
|Output Labels:|[class]|
|Language:|en|
|Size:|1.5 GB|

## References

https://huggingface.co/jjonas313/autotrain-ecb-uncertainty-deberta-v3-large
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---
layout: model
title: English autotrain_ecb_uncertainty_deberta_v3_large_pipeline pipeline DeBertaForSequenceClassification from jjonas313
author: John Snow Labs
name: autotrain_ecb_uncertainty_deberta_v3_large_pipeline
date: 2024-12-18
tags: [en, open_source, pipeline, onnx]
task: Text Classification
language: en
edition: Spark NLP 5.5.1
spark_version: 3.0
supported: true
annotator: PipelineModel
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_ecb_uncertainty_deberta_v3_large_pipeline` is a English model originally trained by jjonas313.

{:.btn-box}
<button class="button button-orange" disabled>Live Demo</button>
<button class="button button-orange" disabled>Open in Colab</button>
[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_ecb_uncertainty_deberta_v3_large_pipeline_en_5.5.1_3.0_1734562060583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ecb_uncertainty_deberta_v3_large_pipeline_en_5.5.1_3.0_1734562060583.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

pipeline = PretrainedPipeline("autotrain_ecb_uncertainty_deberta_v3_large_pipeline", lang = "en")
annotations = pipeline.transform(df)

```
```scala

val pipeline = new PretrainedPipeline("autotrain_ecb_uncertainty_deberta_v3_large_pipeline", lang = "en")
val annotations = pipeline.transform(df)

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|autotrain_ecb_uncertainty_deberta_v3_large_pipeline|
|Type:|pipeline|
|Compatibility:|Spark NLP 5.5.1+|
|License:|Open Source|
|Edition:|Official|
|Language:|en|
|Size:|1.5 GB|

## References

https://huggingface.co/jjonas313/autotrain-ecb-uncertainty-deberta-v3-large

## Included Models

- DocumentAssembler
- TokenizerModel
- DeBertaForSequenceClassification
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---
layout: model
title: English baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2 BGEEmbeddings from marumarukun
author: John Snow Labs
name: baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2
date: 2024-12-18
tags: [en, open_source, onnx, embeddings, bge]
task: Embeddings
language: en
edition: Spark NLP 5.5.1
spark_version: 3.0
supported: true
engine: onnx
annotator: BGEEmbeddings
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2` is a English model originally trained by marumarukun.

{:.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/baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_en_5.5.1_3.0_1734563845660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_en_5.5.1_3.0_1734563845660.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")

embeddings = BGEEmbeddings.pretrained("baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2","en") \
.setInputCols(["document"]) \
.setOutputCol("embeddings")

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

```
```scala

val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")


val embeddings = BGEEmbeddings.pretrained("baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2","en")
.setInputCols(Array("document"))
.setOutputCol("embeddings")

val pipeline = new Pipeline().setStages(Array(documentAssembler, embeddings))
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:|baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2|
|Compatibility:|Spark NLP 5.5.1+|
|License:|Open Source|
|Edition:|Official|
|Input Labels:|[document]|
|Output Labels:|[bge]|
|Language:|en|
|Size:|1.2 GB|

## References

https://huggingface.co/marumarukun/BAAI-bge-large-en-v1.5_fine_tuned_fold1_20241117_105432_boosting_2
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---
layout: model
title: English baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline pipeline BGEEmbeddings from marumarukun
author: John Snow Labs
name: baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline
date: 2024-12-18
tags: [en, open_source, pipeline, onnx]
task: Embeddings
language: en
edition: Spark NLP 5.5.1
spark_version: 3.0
supported: true
annotator: PipelineModel
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline` is a English model originally trained by marumarukun.

{:.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/baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline_en_5.5.1_3.0_1734563915419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline_en_5.5.1_3.0_1734563915419.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

pipeline = PretrainedPipeline("baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline", lang = "en")
annotations = pipeline.transform(df)

```
```scala

val pipeline = new PretrainedPipeline("baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline", lang = "en")
val annotations = pipeline.transform(df)

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|baai_bge_large_english_v1_5_fine_tuned_fold1_20241117_105432_boosting_2_pipeline|
|Type:|pipeline|
|Compatibility:|Spark NLP 5.5.1+|
|License:|Open Source|
|Edition:|Official|
|Language:|en|
|Size:|1.2 GB|

## References

https://huggingface.co/marumarukun/BAAI-bge-large-en-v1.5_fine_tuned_fold1_20241117_105432_boosting_2

## Included Models

- DocumentAssembler
- BGEEmbeddings
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