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model:facebook/contriever-msmarco [7] |
model:facebook/convnext-base-224 [10] |
model:facebook/data2vec-audio-base-960h [4] |
model:facebook/deit-base-patch16-224 [10] |
model:facebook/detr-resnet-101 [21] |
model:facebook/detr-resnet-50-dc5 [21] |
model:facebook/detr-resnet-50-panoptic [12] |
model:facebook/dino-vitb16 [11] |
model:facebook/dino-vitb8 [11] |
model:facebook/dino-vits16 [11] |
model:facebook/hubert-base-ls960 [7] |
model:facebook/hubert-large-ll60k [7] |
model:facebook/hubert-large-ls960-ft [4] |
model:facebook/m2m100_1.2B [40] |
model:facebook/mbart-large-50-many-to-one-mmt [40] |
model:facebook/mbart-large-cc25 [43, 40] |
model:facebook/wav2vec2-base-100k-voxpopuli [4] |
model:facebook/wav2vec2-base-960h [4] |
model:facebook/wav2vec2-large-960h [4] |
model:facebook/wav2vec2-large-robust-ft-libri-960h [4] |
model:facebook/wav2vec2-large-robust-ft-swbd-300h [4] |
model:facebook/wav2vec2-large-xlsr-53-spanish [4] |
model:facebook/wmt19-de-en [43, 40] |
model:facebook/xglm-7.5B [33] |
model:finiteautomata/bertweet-base-sentiment-analysis [32] |
model:flaubert/flaubert_base_cased [8] |
model:flax-community/papuGaPT2 [33] |
model:flax-sentence-embeddings/all_datasets_v4_MiniLM-L6 [25, 7] |
model:fnlp/bart-large-chinese [40] |
model:gerulata/slovakbert [8] |
model:gigant/romanian-wav2vec2 [4] |
model:gilf/french-camembert-postag-model [42] |
model:gogamza/kobart-base-v2 [7] |
model:gogamza/kobart-summarization [40] |
model:google/bigbird-base-trivia-itc [22] |
model:google/bigbird-pegasus-large-arxiv [26, 40] |
model:google/bigbird-pegasus-large-pubmed [26, 40] |
model:google/byt5-small [40] |
model:google/canine-c [7] |
model:google/mt5-large [40] |
model:google/mt5-xl [40] |
model:google/mt5-xxl [40] |
model:google/muril-base-cased [8] |
model:google/pegasus-cnn_dailymail [26, 40] |
model:google/pegasus-large [26, 40] |
model:google/pegasus-multi_news [26, 40] |
model:google/pegasus-newsroom [26, 40] |
model:google/pegasus-xsum [26, 40] |
model:google/reformer-crime-and-punishment [33] |
model:google/t5-v1_1-base [40] |
model:google/t5-v1_1-small [40] |
model:google/vit-huge-patch14-224-in21k [11] |
model:google/vit-large-patch16-224-in21k [11] |
model:google/vit-large-patch16-224 [10] |
model:hfl/chinese-bert-wwm-ext [8] |
model:hfl/chinese-macbert-base [8] |
model:hfl/rbt3 [8] |
model:hiiamsid/sentence_similarity_spanish_es [25, 7] |
model:huggingface/CodeBERTa-language-id [32] |
model:huggingface-course/bert-finetuned-ner [42] |
model:huggingface-course/bert-finetuned-squad [22] |
model:human-centered-summarization/financial-summarization-pegasus [26, 40] |
model:indobenchmark/indobert-base-p1 [7] |
model:indobenchmark/indobert-large-p2 [7] |
model:indolem/indobertweet-base-uncased [8] |
model:j-hartmann/emotion-english-distilroberta-base [32] |
model:jackaduma/SecBERT [8] |
model:joeddav/xlm-roberta-large-xnli [49, 32] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-arabic [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-dutch [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-english [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-polish [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-russian [4] |
model:jonatasgrosman/wav2vec2-large-xlsr-53-spanish [4] |
model:jpwahle/longformer-base-plagiarism-detection [32] |
model:klue/bert-base [8] |
model:klue/roberta-base [8] |
model:klue/roberta-large [8] |
model:klue/roberta-small [8] |
model:kresnik/wav2vec2-large-xlsr-korean [4] |
model:lserinol/bert-turkish-question-answering [22] |
model:lucio/xls-r-uyghur-cv7 [4] |
model:codeparrot/codeparrot-small [33] |
model:m3hrdadfi/wav2vec2-base-100k-gtzan-music-genres [4, 1] |
model:m3rg-iitd/matscibert [8] |
model:malteos/scincl [7] |
model:marefa-nlp/marefa-mt-en-ar [43, 40] |
model:markussagen/xlm-roberta-longformer-base-4096 [8] |
model:martin-ha/toxic-comment-model [32] |
model:mental/mental-roberta-base [8] |
model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext [8] |
model:microsoft/DialoGPT-large [33] |
model:microsoft/DialoGPT-small [33] |
model:microsoft/MiniLM-L12-H384-uncased [32] |
model:microsoft/Multilingual-MiniLM-L12-H384 [32] |
model:microsoft/SportsBERT [8] |
model:microsoft/beit-base-patch16-224-pt22k-ft22k [10] |
model:microsoft/codebert-base-mlm [8] |
model:microsoft/deberta-base-mnli [32] |
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