Datasets:
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HuggingBench-Classification

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model:MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli [49, 32]
model:MoritzLaurer/DeBERTa-v3-xsmall-mnli-fever-anli-ling-binary [49, 32]
model:Musixmatch/umberto-commoncrawl-cased-v1 [8]
model:NbAiLab/nb-bert-base [8]
model:NbAiLab/nb-bert-large [8]
model:NbAiLab/nb-gpt-j-6B [33]
model:Rifky/Indobert-QA [22]
model:Rostlab/prot_bert [8]
model:Rostlab/prot_t5_xl_uniref50 [40]
model:Salesforce/codet5-base [40]
model:s-nlp/ruT5-base-detox [40]
model:s-nlp/xlmr_formality_classifier [32]
model:apanc/russian-inappropriate-messages [32]
model:TurkuNLP/bert-base-finnish-cased-v1 [8]
model:UBC-NLP/AraT5-base-title-generation [40]
model:Unbabel/gec-t5_small [40]
model:VietAI/gpt-neo-1.3B-vietnamese-news [33]
model:Wikidepia/IndoT5-base [40]
model:WinKawaks/vit-small-patch16-224 [10]
model:WinKawaks/vit-tiny-patch16-224 [10]
model:YituTech/conv-bert-base [7]
model:adalbertojunior/distilbert-portuguese-cased [7]
model:ai4bharat/IndicBART [40]
model:ainize/bart-base-cnn [26, 7]
model:airesearch/wangchanberta-base-att-spm-uncased [8]
model:airesearch/wav2vec2-large-xlsr-53-th [4]
model:akdeniz27/bert-base-turkish-cased-ner [42]
model:allegro/herbert-base-cased [7]
model:allenai/led-base-16384 [40]
model:allenai/led-large-16384 [40]
model:allenai/t5-small-squad2-question-generation [40]
model:amberoad/bert-multilingual-passage-reranking-msmarco [32]
model:anuragshas/wav2vec2-large-xls-r-300m-ha-cv8 [4]
model:citizenlab/twitter-xlm-roberta-base-sentiment-finetunned [32]
model:aubmindlab/bert-base-arabertv02 [8]
model:aubmindlab/bert-base-arabertv2 [8]
model:aubmindlab/bert-large-arabertv2 [8]
model:avichr/heBERT [8]
model:ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa [32]
model:beomi/kcbert-base [8]
model:bhadresh-savani/bert-base-uncased-emotion [32]
model:bhadresh-savani/distilbert-base-uncased-emotion [32]
model:blanchefort/rubert-base-cased-sentiment-rusentiment [32]
model:cahya/t5-base-indonesian-summarization-cased [26, 40]
model:cambridgeltl/SapBERT-from-PubMedBERT-fulltext [7]
model:cardiffnlp/twitter-roberta-base-sentiment [32]
model:cardiffnlp/twitter-xlm-roberta-base-sentiment [32]
model:castorini/afriberta_large [8]
model:ckiplab/albert-base-chinese [8]
model:ckiplab/bert-base-chinese-ner [42]
model:ckiplab/bert-base-chinese-ws [42]
model:tohoku-nlp/bert-base-japanese-whole-word-masking [8]
model:tohoku-nlp/bert-large-japanese [8]
model:climatebert/distilroberta-base-climate-detector [32]
model:climatebert/distilroberta-base-climate-specificity [32]
model:cmarkea/distilcamembert-base-sentiment [32]
model:cmarkea/distilcamembert-base [8]
model:cointegrated/LaBSE-en-ru [7, 25]
model:cointegrated/rubert-base-cased-nli-threeway [49, 32]
model:cointegrated/rubert-base-cased-nli-twoway [49, 32]
model:cointegrated/rubert-tiny-bilingual-nli [49, 32]
model:cointegrated/rubert-tiny [8, 7, 25]
model:cointegrated/rubert-tiny2 [25, 8, 7]
model:cointegrated/rut5-base-absum [26, 40]
model:cointegrated/rut5-base-multitask [40]
model:cointegrated/rut5-base-paraphraser [40]
model:cointegrated/rut5-small [40]
model:comodoro/wav2vec2-xls-r-300m-cs-250 [4]
model:cross-encoder/ms-marco-MiniLM-L-12-v2 [32]
model:cross-encoder/stsb-roberta-base [32]
model:csarron/mobilebert-uncased-squad-v2 [22]
model:ctl/wav2vec2-large-xlsr-cantonese [4]
model:dalle-mini/dalle-mini [37]
model:dandelin/vilt-b32-mlm [8]
model:datificate/gpt2-small-spanish [33]
model:dbmdz/bert-base-german-uncased [8]
model:dbmdz/bert-base-italian-xxl-cased [8]
model:dbmdz/bert-tiny-historic-multilingual-cased [8]
model:dbmdz/convbert-base-turkish-mc4-cased [8]
model:dbmdz/convbert-base-turkish-mc4-uncased [8]
model:dccuchile/bert-base-spanish-wwm-cased [8]
model:dccuchile/bert-base-spanish-wwm-uncased [8]
model:deepset/bert-base-cased-squad2 [22]
model:deepset/tinyroberta-squad2 [22]
model:deepset/xlm-roberta-base-squad2-distilled [22]
model:deepset/xlm-roberta-large-squad2 [22]
model:dehio/german-qg-t5-drink600 [40]
model:dehio/german-qg-t5-quad [40]
model:dennlinger/bert-wiki-paragraphs [32, 25]
model:dmis-lab/biobert-base-cased-v1.2 [8]
model:dslim/bert-base-NER-uncased [42]
model:dslim/bert-large-NER [42]
model:ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition [1]
model:elgeish/wav2vec2-large-xlsr-53-arabic [4]
model:ethanyt/guwenbert-base [8]
model:ethanyt/guwenbert-large [8]
model:eugenesiow/bart-paraphrase [40]
model:facebook/bart-base [7]
model:facebook/bart-large [7]
model:facebook/blenderbot-400M-distill [40]