Datasets:
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HuggingBench-Classification

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model:PereLluis13/wav2vec2-xls-r-1b-ca [4]
model:PereLluis13/wav2vec2-xls-r-300m-ca-lm [4]
model:PereLluis13/wav2vec2-xls-r-300m-ca [4]
model:PlanTL-GOB-ES/RoBERTalex [8]
model:PlanTL-GOB-ES/roberta-base-biomedical-es [8]
model:PlanTL-GOB-ES/roberta-base-bne-sqac [22]
model:PlanTL-GOB-ES/roberta-base-bne [8]
model:PlanTL-GOB-ES/roberta-large-bne-capitel-ner [42]
model:PlanTL-GOB-ES/roberta-large-bne-sqac [22]
model:PlanTL-GOB-ES/roberta-large-bne [8]
model:Plim/xls-r-1b-cv_8-fr [4]
model:Plim/xls-r-300m-fr [4]
model:RASMUS/wav2vec2-xlsr-1b-et [4]
model:RASMUS/wav2vec2-xlsr-1b-ru [4]
model:RASMUS/wav2vec2-xlsr-fi-train-aug-bigLM-1B [4]
model:RASMUS/wav2vec2-xlsr-fi-train-aug-lm-1B [4]
model:Rajan/NepaliBERT [8]
model:Rajaram1996/Hubert_emotion [1]
model:Recognai/bert-base-spanish-wwm-cased-xnli [49, 32]
model:Recognai/zeroshot_selectra_medium [49, 32]
model:Recognai/zeroshot_selectra_small [49, 32]
model:ReynaQuita/twitter_disaster_distilbert [32]
model:Rocketknight1/bert-base-cased-finetuned-swag [20]
model:Rocketknight1/t5-small-finetuned-xsum [40]
model:Rostlab/prot_bert_bfd [8]
model:RuudVelo/wav2vec2-large-xls-r-1b-cv8-mt-lm [4]
model:RuudVelo/wav2vec2-large-xls-r-1b-cv8-mt [4]
model:RuudVelo/wav2vec2-large-xls-r-1b-nl-lm [4]
model:RuudVelo/wav2vec2-large-xls-r-1b-nl [4]
model:RuudVelo/wav2vec2-large-xls-r-300m-cv8-nl [4]
model:Sahajtomar/french_semantic [25]
model:Sakonii/distilbert-base-nepali [8]
model:SetFit/deberta-v3-large__sst2__train-16-0 [32]
model:SetFit/deberta-v3-large__sst2__train-16-1 [32]
model:SetFit/deberta-v3-large__sst2__train-16-2 [32]
model:SetFit/deberta-v3-large__sst2__train-16-3 [32]
model:SetFit/deberta-v3-large__sst2__train-16-4 [32]
model:SetFit/deberta-v3-large__sst2__train-16-5 [32]
model:SetFit/deberta-v3-large__sst2__train-16-6 [32]
model:SetFit/deberta-v3-large__sst2__train-16-7 [32]
model:SetFit/deberta-v3-large__sst2__train-16-9 [32]
model:SetFit/deberta-v3-large__sst2__train-32-0 [32]
model:SetFit/deberta-v3-large__sst2__train-8-0 [32]
model:SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-1 [32]
model:SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-5 [32]
model:SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-5 [32]
model:SetFit/distilbert-base-uncased__sst2__all-train [32]
model:SetFit/distilbert-base-uncased__sst2__train-16-0 [32]
model:SetFit/distilbert-base-uncased__sst2__train-32-9 [32]
model:SetFit/distilbert-base-uncased__subj__all-train [32]
model:Shushant/nepaliBERT [8]
model:SkelterLabsInc/bert-base-japanese-jaquad [22]
model:s-nlp/bart-base-detox [40]
model:s-nlp/roberta_first_toxicity_classifier [32]
model:s-nlp/russian_toxicity_classifier [32]
model:s-nlp/t5-paranmt-detox [40]
model:ThomasSimonini/t5-end2end-question-generation [40]
model:Tsubasaz/clinical-pubmed-bert-base-512 [8]
model:TurkuNLP/bert-base-finnish-uncased-v1 [8]
model:UBC-NLP/ARBERT [8]
model:UBC-NLP/MARBERT [8]
model:UBC-NLP/MARBERTv2 [8]
model:UWB-AIR/Czert-B-base-cased [8]
model:Unbabel/xlm-roberta-comet-small [7]
model:Vamsi/T5_Paraphrase_Paws [33, 40]
model:VoVanPhuc/sup-SimCSE-VietNamese-phobert-base [25]
model:Wikidepia/IndoT5-large [40]
model:Wikidepia/IndoT5-small [40]
model:Wikidepia/indobert-lite-squad [22]
model:Wikidepia/wav2vec2-xls-r-300m-indonesian [4]
model:YituTech/conv-bert-medium-small [7]
model:YituTech/conv-bert-small [7]
model:aXhyra/demo_sentiment_31415 [32]
model:aXhyra/emotion_trained_31415 [32]
model:aXhyra/presentation_emotion_31415 [32]
model:aXhyra/presentation_sentiment_1234567 [32]
model:aapot/wav2vec2-xlsr-1b-finnish-lm-v2 [4]
model:aapot/wav2vec2-xlsr-1b-finnish-lm [4]
model:aapot/wav2vec2-xlsr-1b-finnish-v2 [4]
model:aapot/wav2vec2-xlsr-1b-finnish [4]
model:aapot/wav2vec2-xlsr-300m-finnish-lm [4]
model:aapot/wav2vec2-xlsr-300m-finnish [4]
model:abdelkader/distilbert-base-uncased-finetuned-emotion [32]
model:abhi1nandy2/EManuals_RoBERTa [7]
model:abhishek/autonlp-japanese-sentiment-59363 [32]
model:addy88/wav2vec2-base-finetuned-ks [1]
model:aditeyabaral/finetuned-sail2017-xlm-roberta-base [32]
model:akahana/vit-base-cats-vs-dogs [10]
model:akhooli/gpt2-small-arabic [33]
model:alexanderfalk/danbert-small-cased [8]
model:alexyalunin/RuBioBERT [8]
model:alexyalunin/RuBioRoBERTa [8]
model:ali2066/finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26 [32]
model:allegro/herbert-large-cased [7]
model:allegro/plt5-base [43, 40, 26]
model:allegro/plt5-small [43, 40, 26]
model:allenai/longformer-scico [32]
model:allenai/specter [7]
model:allenai/unifiedqa-t5-small [40]
model:alperiox/autonlp-user-review-classification-536415182 [32]