Datasets:
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HuggingBench-Classification

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model:microsoft/deberta-base [8]
model:microsoft/deberta-v2-xlarge [8]
model:microsoft/deberta-v3-large [8]
model:microsoft/deberta-v3-xsmall [8]
model:microsoft/graphcodebert-base [8]
model:microsoft/infoxlm-large [8]
model:microsoft/mpnet-base [8]
model:microsoft/swin-tiny-patch4-window7-224 [10]
model:microsoft/tapex-base [27, 40]
model:microsoft/trocr-base-printed [16, 13]
model:microsoft/trocr-base-stage1 [16, 13]
model:microsoft/trocr-large-printed [16, 13]
model:microsoft/trocr-large-stage1 [16, 13]
model:microsoft/trocr-small-handwritten [16, 13]
model:microsoft/trocr-small-printed [16, 13]
model:microsoft/wavlm-base-plus [7]
model:microsoft/wavlm-large [7]
model:microsoft/xtremedistil-l12-h384-uncased [32, 7]
model:microsoft/xtremedistil-l6-h256-uncased [32, 7]
model:monologg/distilkobert [8]
model:monologg/kobert [7]
model:monsoon-nlp/bert-base-thai [7]
model:mpoyraz/wav2vec2-xls-r-300m-cv7-turkish [4]
model:mrm8488/codebert-base-finetuned-detect-insecure-code [32]
model:mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es [22]
model:mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis [32]
model:mrm8488/spanish-gpt2 [33]
model:mrm8488/t5-base-finetuned-common_gen [40]
model:mrm8488/t5-base-finetuned-summarize-news [40]
model:nateraw/vit-age-classifier [10]
model:neuralmind/bert-large-portuguese-cased [8]
model:nguyenvulebinh/vi-mrc-base [22]
model:nguyenvulebinh/wav2vec2-base-vietnamese-250h [4]
model:nickmuchi/distilroberta-finetuned-financial-text-classification [32]
model:SenseTime/deformable-detr [21]
model:nlpaueb/bert-base-uncased-contracts [8]
model:nlpconnect/vit-gpt2-image-captioning [16, 13]
model:nlptown/bert-base-multilingual-uncased-sentiment [32]
model:nreimers/MiniLM-L6-H384-uncased [7]
model:nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large [8]
model:nsi319/legal-led-base-16384 [26, 40]
model:nsi319/legal-pegasus [26, 40]
model:ntu-spml/distilhubert [7]
model:nvidia/segformer-b0-finetuned-ade-512-512 [12]
model:nvidia/segformer-b1-finetuned-cityscapes-1024-1024 [12]
model:nvidia/segformer-b2-finetuned-ade-512-512 [12]
model:nvidia/segformer-b5-finetuned-ade-640-640 [12]
model:nvidia/segformer-b5-finetuned-cityscapes-1024-1024 [12]
model:oliverguhr/fullstop-punctuation-multilang-large [42]
model:oliverguhr/german-sentiment-bert [32]
model:onlplab/alephbert-base [8]
model:openai/clip-vit-base-patch16 [50]
model:pdelobelle/robbert-v2-dutch-base [8]
model:philschmid/bart-large-cnn-samsum [26, 40]
model:pierreguillou/bert-base-cased-squad-v1.1-portuguese [22]
model:pierreguillou/gpt2-small-portuguese [33]
model:pranaydeeps/Ancient-Greek-BERT [7]
model:pritamdeka/S-PubMedBert-MS-MARCO [25, 7]
model:pszemraj/led-base-book-summary [26, 40]
model:pysentimiento/robertuito-sentiment-analysis [32]
model:rinna/japanese-gpt2-medium [33]
model:rinna/japanese-gpt2-small [33]
model:samrawal/bert-base-uncased_clinical-ner [42]
model:savasy/bert-base-turkish-squad [22]
model:ai-forever/ruT5-base [40]
model:ai-forever/rugpt3large_based_on_gpt2 [33]
model:ai-forever/rugpt3small_based_on_gpt2 [33]
model:ai-forever/sbert_large_nlu_ru [7]
model:sentence-transformers/LaBSE [25, 7]
model:sentence-transformers/all-MiniLM-L12-v1 [25, 7]
model:sentence-transformers/all-roberta-large-v1 [25, 8, 7]
model:sentence-transformers/bert-base-nli-mean-tokens [25, 7]
model:sentence-transformers/clip-ViT-B-32-multilingual-v1 [25, 7]
model:sentence-transformers/distilbert-base-nli-mean-tokens [7, 25]
model:sentence-transformers/distiluse-base-multilingual-cased-v1 [25, 7]
model:sentence-transformers/distiluse-base-multilingual-cased-v2 [25, 7]
model:sentence-transformers/msmarco-bert-base-dot-v5 [25, 7]
model:sentence-transformers/msmarco-distilbert-base-tas-b [25, 7]
model:sentence-transformers/multi-qa-MiniLM-L6-dot-v1 [25, 7]
model:sentence-transformers/multi-qa-distilbert-cos-v1 [25, 8, 7]
model:sentence-transformers/multi-qa-mpnet-base-cos-v1 [25, 8, 7]
model:sentence-transformers/multi-qa-mpnet-base-dot-v1 [25, 8, 7]
model:sentence-transformers/paraphrase-TinyBERT-L6-v2 [25, 7]
model:sentence-transformers/paraphrase-albert-small-v2 [25, 7]
model:sentence-transformers/paraphrase-mpnet-base-v2 [25, 7]
model:sentence-transformers/paraphrase-multilingual-mpnet-base-v2 [25, 7]
model:sentence-transformers/sentence-t5-large [25, 7]
model:seyonec/ChemBERTa-zinc-base-v1 [8]
model:seyonec/PubChem10M_SMILES_BPE_450k [8]
model:shibing624/text2vec-base-chinese [25]
model:siebert/sentiment-roberta-large-english [32]
model:skt/kogpt2-base-v2 [33]
model:spacy/en_core_web_lg [42]
model:spacy/en_core_web_sm [42]
model:speechbrain/spkrec-xvect-voxceleb [1]
model:sshleifer/distilbart-cnn-12-6 [26, 40]
model:sshleifer/distilbart-cnn-6-6 [26, 40]
model:stefan-it/german-gpt2-larger [33]
model:tals/albert-xlarge-vitaminc-mnli [32]
model:tuner007/pegasus_paraphrase [40]