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supported_models.py
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from .extra.marian import SUPPORTED_HELSINKI_NLP_MODELS
SUPPORTED_MODELS = {
# NOTE: keys of `SUPPORTED_MODELS` are subsets of https://github.com/huggingface/optimum/blob/7f8e606689365931300ef5e6d3b20cb88771cb08/optimum/exporters/tasks.py#L281-L965
'albert': {
# Masked language modelling
'fill-mask': [
'albert-base-v2',
'albert-large-v2',
],
# Feature extraction
'feature-extraction': [
'sentence-transformers/paraphrase-albert-small-v2',
'sentence-transformers/paraphrase-albert-base-v2',
],
},
'audio-spectrogram-transformer': {
# Audio classification
'audio-classification': {
'MIT/ast-finetuned-audioset-10-10-0.4593',
'MIT/ast-finetuned-audioset-16-16-0.442',
'MIT/ast-finetuned-speech-commands-v2',
'mtg-upf/discogs-maest-30s-pw-73e-ts',
}
},
'bart': {
# Summarization
'summarization': [
'sshleifer/distilbart-xsum-12-1',
'sshleifer/distilbart-xsum-6-6',
'sshleifer/distilbart-xsum-12-3',
'sshleifer/distilbart-xsum-9-6',
'sshleifer/distilbart-xsum-12-6',
'sshleifer/distilbart-cnn-12-3',
'sshleifer/distilbart-cnn-12-6',
'sshleifer/distilbart-cnn-6-6',
'facebook/bart-large-cnn',
'facebook/bart-large-xsum',
],
# Zero-shot classification
'zero-shot-classification': {
'facebook/bart-large-mnli',
},
},
'beit': {
# Image classification
'image-classification': [
'microsoft/beit-base-patch16-224',
'microsoft/beit-base-patch16-224-pt22k',
'microsoft/beit-base-patch16-384',
'microsoft/beit-base-patch16-224-pt22k-ft22k',
'microsoft/beit-large-patch16-224',
'microsoft/beit-large-patch16-224-pt22k',
'microsoft/beit-large-patch16-512',
'microsoft/beit-large-patch16-224-pt22k-ft22k',
'microsoft/beit-large-patch16-384',
'microsoft/dit-base-finetuned-rvlcdip',
'microsoft/dit-large-finetuned-rvlcdip',
],
},
'bert': {
# Feature extraction
'feature-extraction': [
'sentence-transformers/all-MiniLM-L6-v2',
'sentence-transformers/all-MiniLM-L12-v2',
'sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2',
'sentence-transformers/paraphrase-MiniLM-L6-v2',
'sentence-transformers/paraphrase-MiniLM-L3-v2',
'sentence-transformers/bert-base-nli-mean-tokens',
'sentence-transformers/multi-qa-MiniLM-L6-cos-v1',
'sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens',
'sentence-transformers/LaBSE',
'deepset/sentence_bert',
'intfloat/e5-small',
'intfloat/e5-small-v2',
'intfloat/e5-base',
'intfloat/e5-base-v2',
'intfloat/e5-large',
'intfloat/e5-large-v2',
'intfloat/multilingual-e5-base',
'thenlper/gte-small',
'thenlper/gte-base',
'thenlper/gte-large',
'BAAI/bge-small-en',
'BAAI/bge-base-en',
'BAAI/bge-large-en',
'BAAI/bge-large-en-v1.5',
'BAAI/bge-base-en-v1.5',
'BAAI/bge-small-en-v1.5',
'BAAI/bge-large-zh-v1.5',
'BAAI/bge-base-zh-v1.5',
'BAAI/bge-small-zh-v1.5',
'allenai/scibert_scivocab_uncased',
'SpanBERT/spanbert-large-cased',
'SpanBERT/spanbert-base-cased',
'cambridgeltl/SapBERT-from-PubMedBERT-fulltext',
'indobenchmark/indobert-base-p1',
'GanjinZero/UMLSBert_ENG',
'DeepPavlov/rubert-base-cased',
'monologg/kobert',
],
# Text classification
'text-classification': [
'nlptown/bert-base-multilingual-uncased-sentiment',
'ProsusAI/finbert',
'unitary/toxic-bert',
'BAAI/bge-reranker-large',
'BAAI/bge-reranker-base',
],
# Token classification
'token-classification': [
'Davlan/bert-base-multilingual-cased-ner-hrl',
'ckiplab/bert-base-chinese-ner',
'ckiplab/bert-base-chinese-ws',
'ckiplab/bert-base-chinese-pos',
'dslim/bert-base-NER',
'dslim/bert-base-NER-uncased',
],
# Masked language modelling
'fill-mask': [
'bert-base-uncased',
'bert-base-cased',
'bert-base-multilingual-uncased',
'bert-base-multilingual-cased',
'bert-base-chinese',
'emilyalsentzer/Bio_ClinicalBERT',
],
},
'blenderbot': {
# Text-to-text (TODO add conversational)
'text2text-generation': [
'facebook/blenderbot-400M-distill',
# 'facebook/blenderbot-1B-distill',
],
},
'blenderbot-small': {
# Text-to-text (TODO add conversational)
'text2text-generation': [
# 'facebook/blenderbot-90M', # DEPRECATED
'facebook/blenderbot_small-90M',
],
},
'bloom': {
# Text generation
'text-generation': [
'bigscience/bloom-560m',
'bigscience/bloomz-560m',
],
},
'camembert': {
# Feature extraction
'feature-extraction': [
'dangvantuan/sentence-camembert-large',
],
# Token classification
'token-classification': [
'Jean-Baptiste/camembert-ner',
# 'Jean-Baptiste/camembert-ner-with-dates',
'pythainlp/thainer-corpus-v2-base-model',
# 'gilf/french-camembert-postag-model',
],
# Masked language modelling
'fill-mask': [
'camembert-base',
# 'airesearch/wangchanberta-base-att-spm-uncased',
],
},
'clap': {
# Zero-shot audio classification and feature extraction
# (with and without `--split_modalities`)
'zero-shot-audio-classification': {
'laion/clap-htsat-unfused',
# TODO add 'laion/clap-htsat-fused',
'laion/larger_clap_general',
'laion/larger_clap_music_and_speech',
# 'Xenova/tiny-random-ClapModel',
}
},
'chinese_clip': {
# Zero-shot image classification
# TODO: Add `--split_modalities` option
'zero-shot-image-classification': [
'OFA-Sys/chinese-clip-vit-base-patch16',
'OFA-Sys/chinese-clip-vit-large-patch14',
'OFA-Sys/chinese-clip-vit-large-patch14-336px',
# 'OFA-Sys/chinese-clip-vit-huge-patch14', # TODO add
],
},
'clip': {
# Zero-shot image classification (and feature extraction)
# (with and without `--split_modalities`)
'zero-shot-image-classification': [
'openai/clip-vit-base-patch16',
'openai/clip-vit-base-patch32',
'openai/clip-vit-large-patch14',
'openai/clip-vit-large-patch14-336',
],
},
'clipseg': {
# Image segmentation
'image-segmentation': [
'CIDAS/clipseg-rd64-refined',
'CIDAS/clipseg-rd64',
'CIDAS/clipseg-rd16',
],
},
'codegen': {
# Text generation
'text-generation': [
'Salesforce/codegen-350M-mono',
'Salesforce/codegen-350M-multi',
'Salesforce/codegen-350M-nl',
],
},
'convbert': {
# Feature extraction
'feature-extraction': [
'YituTech/conv-bert-small',
'YituTech/conv-bert-medium-small',
'YituTech/conv-bert-base',
],
},
'convnext': {
# Image classification
'image-classification': [
'facebook/convnext-tiny-224',
'facebook/convnext-small-224',
'facebook/convnext-base-224',
'facebook/convnext-base-224-22k',
'facebook/convnext-base-224-22k-1k',
'facebook/convnext-base-384',
'facebook/convnext-base-384-22k-1k',
'facebook/convnext-large-224',
'facebook/convnext-large-224-22k',
'facebook/convnext-large-224-22k-1k',
'facebook/convnext-large-384',
'facebook/convnext-large-384-22k-1k',
'facebook/convnext-xlarge-224-22k',
'facebook/convnext-xlarge-224-22k-1k',
'facebook/convnext-xlarge-384-22k-1k',
],
},
'convnextv2': {
# Image classification
'image-classification': [
'facebook/convnextv2-atto-1k-224',
'facebook/convnextv2-femto-1k-224',
'facebook/convnextv2-pico-1k-224',
'facebook/convnextv2-tiny-1k-224',
'facebook/convnextv2-tiny-22k-384',
'facebook/convnextv2-tiny-22k-224',
'facebook/convnextv2-nano-1k-224',
'facebook/convnextv2-nano-22k-384',
'facebook/convnextv2-base-22k-224',
'facebook/convnextv2-base-1k-224',
'facebook/convnextv2-base-22k-384',
'facebook/convnextv2-large-22k-224',
'facebook/convnextv2-large-1k-224',
'facebook/convnextv2-large-22k-384',
# 'facebook/convnextv2-huge-22k-512',
# 'facebook/convnextv2-huge-1k-224',
# 'facebook/convnextv2-huge-22k-384',
# 'facebook/convnextv2-nano-22k-224',
],
},
'deberta': {
# Zero-shot classification
'zero-shot-classification': [
'cross-encoder/nli-deberta-base',
'Narsil/deberta-large-mnli-zero-cls',
],
},
'deberta-v2': {
# Zero-shot classification
'zero-shot-classification': [
'cross-encoder/nli-deberta-v3-xsmall',
'cross-encoder/nli-deberta-v3-small',
'cross-encoder/nli-deberta-v3-base',
'cross-encoder/nli-deberta-v3-large',
'MoritzLaurer/DeBERTa-v3-xsmall-mnli-fever-anli-ling-binary',
'MoritzLaurer/DeBERTa-v3-base-mnli',
'MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli',
'MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli',
'MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7',
'sileod/deberta-v3-base-tasksource-nli',
'sileod/deberta-v3-large-tasksource-nli',
],
},
'deit': {
# Image classification
'image-classification': [
'facebook/deit-tiny-distilled-patch16-224',
'facebook/deit-small-distilled-patch16-224',
'facebook/deit-base-distilled-patch16-224',
'facebook/deit-base-distilled-patch16-384',
],
},
'detr': {
# Object detection
'object-detection': [
'facebook/detr-resnet-50',
'facebook/detr-resnet-101',
],
# Image segmentation
'image-segmentation': [
'facebook/detr-resnet-50-panoptic',
],
},
'dinov2': {
# Feature extraction
'feature-extraction': [
'facebook/dinov2-small',
'facebook/dinov2-base',
'facebook/dinov2-large',
# 'facebook/dinov2-giant', # TODO add
],
# Image classification
'image-classification': [
'facebook/dinov2-small-imagenet1k-1-layer',
'facebook/dinov2-base-imagenet1k-1-layer',
'facebook/dinov2-large-imagenet1k-1-layer',
# 'facebook/dinov2-giant-imagenet1k-1-layer', # TODO add
],
},
'distilbert': {
# Feature extraction
'feature-extraction': [
'sentence-transformers/multi-qa-distilbert-cos-v1',
'sentence-transformers/distiluse-base-multilingual-cased-v1',
'sentence-transformers/distiluse-base-multilingual-cased-v2',
'sentence-transformers/distilbert-base-nli-mean-tokens',
'sentence-transformers/distilbert-base-nli-stsb-mean-tokens',
'sentence-transformers/msmarco-distilbert-base-v4',
],
# Text classification
'text-classification': [
'distilbert-base-uncased-finetuned-sst-2-english',
],
# Question answering
'question-answering': [
'distilbert-base-uncased-distilled-squad',
'distilbert-base-cased-distilled-squad',
],
# Zero-shot classification
'zero-shot-classification': [
'typeform/distilbert-base-uncased-mnli',
],
# Token classification
'token-classification': [
'Davlan/distilbert-base-multilingual-cased-ner-hrl',
],
# Masked language modelling
'fill-mask': [
'distilbert-base-uncased',
'distilbert-base-cased',
],
},
'dit': { # NOTE: DiT has the same architecture as BEiT.
# Feature extraction
# NOTE: requires --task feature-extraction
'feature-extraction': [
'microsoft/dit-base',
'microsoft/dit-large',
],
# Image classification
'image-classification': [
'microsoft/dit-base-finetuned-rvlcdip',
'microsoft/dit-large-finetuned-rvlcdip',
],
},
'donut': { # NOTE: also a `vision-encoder-decoder`
# Image-to-text
'image-to-text': [
#'naver-clova-ix/donut-base-finetuned-cord-v2',
#'naver-clova-ix/donut-base-finetuned-zhtrainticket',
],
# Document Question Answering
'document-question-answering': [
# 'naver-clova-ix/donut-base-finetuned-docvqa',
],
},
'dpt': {
# Depth estimation
'depth-estimation': [
'Intel/dpt-hybrid-midas',
'Intel/dpt-large',
],
},
'electra': {
# Feature extraction
'feature-extraction': [
# NOTE: requires --task feature-extraction
'google/electra-small-discriminator',
'google/electra-base-discriminator',
],
},
'esm': {
# Masked language modelling
'fill-mask': [
# with and without --task feature-extraction
'InstaDeepAI/nucleotide-transformer-500m-human-ref',
'InstaDeepAI/nucleotide-transformer-500m-1000g',
# NOTE: requires --opset 12
'facebook/esm2_t6_8M_UR50D',
'facebook/esm2_t12_35M_UR50D',
'facebook/esm2_t30_150M_UR50D',
'facebook/esm2_t33_650M_UR50D',
],
# Token classification
'token-classification': [
'AmelieSchreiber/esm2_t6_8M_UR50D_rna_binding_site_predictor',
],
# Zero-shot classification
'zero-shot-classification': [
'AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1',
],
},
'falcon': {
# Text generation
'text-generation': [
'Rocketknight1/tiny-random-falcon-7b',
'fxmarty/really-tiny-falcon-testing',
],
},
'glpn': {
# Depth estimation
'depth-estimation': [
'vinvino02/glpn-kitti',
'vinvino02/glpn-nyu',
],
},
'gpt_neo': {
# Text generation
'text-generation': [
'EleutherAI/gpt-neo-125M',
'MBZUAI/LaMini-Neo-125M',
# 'MBZUAI/LaMini-Neo-1.3B', # TODO add
'iliemihai/gpt-neo-romanian-125m',
],
},
'gpt_neox': {
# Text generation
'text-generation': [
'EleutherAI/pythia-14m',
'EleutherAI/pythia-31m',
'EleutherAI/pythia-70m',
'EleutherAI/pythia-70m-deduped',
'EleutherAI/pythia-160m',
'EleutherAI/pythia-160m-deduped',
'EleutherAI/pythia-410m',
'EleutherAI/pythia-410m-deduped',
],
},
'gpt2': {
# Text generation
'text-generation': [
'gpt2',
'distilgpt2',
'MBZUAI/LaMini-Cerebras-111M',
'MBZUAI/LaMini-Cerebras-256M',
'MBZUAI/LaMini-Cerebras-590M',
# 'MBZUAI/LaMini-Cerebras-1.3B', # TODO add
'MBZUAI/LaMini-GPT-124M',
'MBZUAI/LaMini-GPT-774M',
# 'MBZUAI/LaMini-GPT-1.5B', # TODO add
'aisquared/dlite-v2-774m',
'Locutusque/gpt2-large-conversational',
],
},
'gpt_bigcode': {
# Text generation
'text-generation': [
'bigcode/tiny_starcoder_py',
'abacaj/starcoderbase-1b-sft',
# 'bigcode/starcoderbase-1b', # NOTE: This model is gated, so we ignore it when testing
],
},
'gptj': {
# Text generation
'text-generation': [
'TabbyML/J-350M',
'Milos/slovak-gpt-j-405M',
'heegyu/kogpt-j-350m',
],
},
'herbert': {
# Feature extraction
'feature-extraction': [
'allegro/herbert-base-cased',
'allegro/herbert-large-cased',
],
},
'hubert': {
# Feature extraction
'feature-extraction': [
'facebook/hubert-base-ls960',
],
# Audio classification
'audio-classification': [
'superb/hubert-base-superb-ks',
],
# Automatic speech recognition
'automatic-speech-recognition': [
'facebook/hubert-large-ls960-ft',
],
},
'llama': {
# Text generation
'text-generation': [
'Xenova/llama2.c-stories15M',
'Xenova/llama2.c-stories42M',
'Xenova/llama2.c-stories110M',
'RajuKandasamy/tamillama_tiny_30m',
'JackFram/llama-68m',
'JackFram/llama-160m',
],
},
'longt5': {
# Text-to-text
'text2text-generation': [
'google/long-t5-local-base',
'google/long-t5-tglobal-base',
# 'google/long-t5-tglobal-xl', # too large
# 'google/long-t5-tglobal-large', # too large
# 'google/long-t5-local-large', # too large
],
# Summarization
'summarization': [
'pszemraj/long-t5-tglobal-base-16384-book-summary',
],
# Feature extraction
'feature-extraction': [
# NOTE: requires --task feature-extraction
'voidful/long-t5-encodec-tglobal-base',
],
},
'm2m_100': {
# Translation
'translation': [
'facebook/nllb-200-distilled-600M',
'facebook/m2m100_418M',
],
},
'marian': {
# Translation
'translation': [
f'Helsinki-NLP/opus-mt-{x}'
for x in SUPPORTED_HELSINKI_NLP_MODELS
],
},
'mbart': {
# Translation
'translation': [
# 'facebook/mbart-large-50-many-to-many-mmt',
#'facebook/mbart-large-50-many-to-one-mmt',
# 'facebook/mbart-large-50',
],
},
'mistral': {
# Text generation
'text-generation': [
'echarlaix/tiny-random-mistral',
],
},
'mobilebert': {
# Zero-shot classification
'zero-shot-classification': [
'typeform/mobilebert-uncased-mnli',
# TODO:
# https://github.com/huggingface/optimum/issues/1027
# 'google/mobilebert-uncased',
],
},
'mobilevit': {
# Image classification
'image-classification': [
'apple/mobilevit-small',
'apple/mobilevit-x-small',
'apple/mobilevit-xx-small',
],
# TODO: Image segmentation
# 'image-segmentation': [
# 'apple/deeplabv3-mobilevit-small',
# 'apple/deeplabv3-mobilevit-x-small',
# 'apple/deeplabv3-mobilevit-xx-small',
# ],
},
'mpt': {
# Text generation
'text-generation': [
'efederici/ipt-350m',
],
},
'mpnet': {
# Feature extraction
'feature-extraction': [
'sentence-transformers/all-mpnet-base-v2',
'sentence-transformers/nli-mpnet-base-v2',
'sentence-transformers/paraphrase-mpnet-base-v2',
'sentence-transformers/paraphrase-multilingual-mpnet-base-v2',
'sentence-transformers/multi-qa-mpnet-base-cos-v1',
'sentence-transformers/multi-qa-mpnet-base-dot-v1',
],
},
'mt5': {
# Text-to-text
'text2text-generation': [
'google/mt5-small',
# 'google/mt5-base',
],
},
'nougat': {
# Image-to-text
'image-to-text': [
'facebook/nougat-small',
'facebook/nougat-base',
],
},
'opt': {
# Text generation
'text-generation': [
# Text generation
'facebook/opt-125m',
'facebook/opt-350m',
# (TODO conversational)
'PygmalionAI/pygmalion-350m',
],
},
'owlvit': {
# Object detection (Zero-shot object detection)
# NOTE: Exported with --batch_size 1
'zero-shot-object-detection': [
'google/owlvit-base-patch32',
'google/owlvit-base-patch16',
'google/owlvit-large-patch14',
],
},
'resnet': {
# Image classification
'image-classification': [
'microsoft/resnet-18',
'microsoft/resnet-26',
'microsoft/resnet-34',
'microsoft/resnet-50',
'microsoft/resnet-101',
'microsoft/resnet-152',
],
},
'roformer': {
# Feature extraction
'feature-extraction': [
'hf-tiny-model-private/tiny-random-RoFormerModel',
],
# Text classification
'text-classification': [
'hf-tiny-model-private/tiny-random-RoFormerForSequenceClassification',
],
# Token classification
'token-classification': [
'hf-tiny-model-private/tiny-random-RoFormerForTokenClassification',
],
# TODO
# # Text generation
# 'text-generation': [
# 'hf-tiny-model-private/tiny-random-RoFormerForCausalLM',
# ],
# Masked language modelling
'fill-mask': [
'alchemab/antiberta2',
'hf-tiny-model-private/tiny-random-RoFormerForMaskedLM',
],
# Question answering
'question-answering': [
'hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering',
],
# Multiple choice
'multiple-choice': [
'hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice',
],
},
'phi': {
# Text generation
'text-generation': [
'hf-internal-testing/tiny-random-PhiForCausalLM',
'susnato/phi-1_5_dev',
],
},
'roberta': {
# Feature extraction
'feature-extraction': [
'sentence-transformers/all-distilroberta-v1',
'sentence-transformers/all-roberta-large-v1',
],
# Text classification
'text-classification': [
'roberta-large-mnli',
],
# Token classification
'token-classification': [
'julien-c/EsperBERTo-small-pos',
],
# Masked language modelling
'fill-mask': [
'roberta-base',
'distilroberta-base',
],
},
# 'sam': [
# 'facebook/sam-vit-base',
# 'facebook/sam-vit-large',
# 'facebook/sam-vit-huge',
# ],
'segformer': {
# Image segmentation
'image-segmentation': [
'mattmdjaga/segformer_b0_clothes',
'mattmdjaga/segformer_b2_clothes',
'jonathandinu/face-parsing',
'nvidia/segformer-b0-finetuned-cityscapes-768-768',
'nvidia/segformer-b0-finetuned-cityscapes-512-1024',
'nvidia/segformer-b0-finetuned-cityscapes-640-1280',
'nvidia/segformer-b0-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b1-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b2-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b3-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b4-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b5-finetuned-cityscapes-1024-1024',
'nvidia/segformer-b0-finetuned-ade-512-512',
'nvidia/segformer-b1-finetuned-ade-512-512',
'nvidia/segformer-b2-finetuned-ade-512-512',
'nvidia/segformer-b3-finetuned-ade-512-512',
'nvidia/segformer-b4-finetuned-ade-512-512',
'nvidia/segformer-b5-finetuned-ade-640-640',
],
# Image classification
'image-classification': [
'nvidia/mit-b0',
'nvidia/mit-b1',
'nvidia/mit-b2',
'nvidia/mit-b3',
'nvidia/mit-b4',
'nvidia/mit-b5',
],
},
'siglip': {
# Zero-shot image classification and feature extraction
# (with and without `--split_modalities`)
# NOTE: requires --opset 13
'zero-shot-image-classification': [
'nielsr/siglip-base-patch16-224',
],
},
'speecht5': {
# Text-to-audio/Text-to-speech
'text-to-audio': [
'microsoft/speecht5_tts',
],
},
'squeezebert': {
# Feature extraction
'feature-extraction': [
'squeezebert/squeezebert-uncased',
'squeezebert/squeezebert-mnli',
],
},
'swin': {
# Image classification
'image-classification': [
'microsoft/swin-tiny-patch4-window7-224',
'microsoft/swin-base-patch4-window7-224',
'microsoft/swin-large-patch4-window12-384-in22k',
'microsoft/swin-base-patch4-window7-224-in22k',
'microsoft/swin-base-patch4-window12-384-in22k',
'microsoft/swin-base-patch4-window12-384',
'microsoft/swin-large-patch4-window7-224',
'microsoft/swin-small-patch4-window7-224',
'microsoft/swin-large-patch4-window7-224-in22k',
'microsoft/swin-large-patch4-window12-384',
],
},
'swin2sr': {
# Image-to-image (Super-resolution)
'image-to-image': [
'caidas/swin2SR-classical-sr-x2-64',
'caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr',
'caidas/swin2SR-classical-sr-x4-64',
'caidas/swin2SR-compressed-sr-x4-48',
'caidas/swin2SR-lightweight-x2-64',
],
# Feature extraction
'feature-extraction': [
'hf-tiny-model-private/tiny-random-Swin2SRModel',
],
},
't5': {
# Translation/Summarization
('translation', 'summarization'): [
't5-small',
't5-base',
# 'google/t5-v1_1-small',
# 'google/t5-v1_1-base',
'google/flan-t5-small',
'google/flan-t5-base',
],
# Text-to-text
'text2text-generation': [
'MBZUAI/LaMini-Flan-T5-77M',
'MBZUAI/LaMini-Flan-T5-248M',
'MBZUAI/LaMini-Flan-T5-783M',
'MBZUAI/LaMini-T5-61M',
'MBZUAI/LaMini-T5-223M',
'MBZUAI/LaMini-T5-738M',
'declare-lab/flan-alpaca-base',
'declare-lab/flan-alpaca-large',
],
# Feature extraction
'feature-extraction': [
'sentence-transformers/sentence-t5-large',
'hkunlp/instructor-base',
'hkunlp/instructor-large',
],
},
'table-transformer': {
# Object detection
'object-detection': [
'microsoft/table-transformer-detection',
'microsoft/table-transformer-structure-recognition',
'microsoft/table-transformer-structure-recognition-v1.1-all',
'microsoft/table-transformer-structure-recognition-v1.1-fin',
'microsoft/table-transformer-structure-recognition-v1.1-pub',
],
},
'trocr': { # NOTE: also a `vision-encoder-decoder`
# Text-to-image
'text-to-image': [
# 'microsoft/trocr-small-printed',
'microsoft/trocr-base-printed',
'microsoft/trocr-small-handwritten',
'microsoft/trocr-base-handwritten',
],
},
'vision-encoder-decoder': {
# Image-to-text
'image-to-text': [
'nlpconnect/vit-gpt2-image-captioning',
],
},
'vit': {
# Feature extraction
'feature-extraction': [
'google/vit-base-patch16-224-in21k',
'facebook/dino-vitb16',
'facebook/dino-vits8',
'facebook/dino-vitb8',
'facebook/dino-vits16',
],
# Image classification
'image-classification': [
'google/vit-base-patch16-224',
],
},
'vitmatte': {
# Image matting
'image-matting': [
'hustvl/vitmatte-small-distinctions-646',
'hustvl/vitmatte-base-distinctions-646',
'hustvl/vitmatte-small-composition-1k',
'hustvl/vitmatte-base-composition-1k',
],
},
'vits': {
# Text-to-audio/Text-to-speech/Text-to-waveform
'text-to-waveform': {
# NOTE: requires --task text-to-waveform --skip_validation
'echarlaix/tiny-random-vits',
'facebook/mms-tts-eng',
'facebook/mms-tts-rus',
'facebook/mms-tts-hin',
'facebook/mms-tts-yor',
'facebook/mms-tts-spa',
'facebook/mms-tts-fra',
'facebook/mms-tts-ara',
'facebook/mms-tts-ron',
'facebook/mms-tts-vie',
'facebook/mms-tts-deu',
'facebook/mms-tts-kor',
'facebook/mms-tts-por',
# TODO add more checkpoints from
# https://huggingface.co/models?other=vits&sort=trending&search=facebook-tts
}
},
'wav2vec2': {
# Feature extraction # NOTE: requires --task feature-extraction
'feature-extraction': [
'facebook/mms-300m',
'facebook/mms-1b',
],
# Audio classification
'audio-classification': [
'alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech',
'superb/wav2vec2-base-superb-ks',
'facebook/mms-lid-126',
'facebook/mms-lid-256',
'facebook/mms-lid-512',
'facebook/mms-lid-1024',
'facebook/mms-lid-2048',
'facebook/mms-lid-4017',
],
# Automatic speech recognition
'automatic-speech-recognition': [
'jonatasgrosman/wav2vec2-large-xlsr-53-english',
'facebook/wav2vec2-base-960h',
'facebook/mms-1b-l1107',
'facebook/mms-1b-all',
'facebook/mms-1b-fl102',
],
},
'wavlm': {
# Feature extraction
'feature-extraction': [
'microsoft/wavlm-base',
'microsoft/wavlm-base-plus',
'microsoft/wavlm-large',
],
},
'whisper': {
# Automatic speech recognition
'automatic-speech-recognition': [
'openai/whisper-tiny',
'openai/whisper-tiny.en',
'openai/whisper-base',
'openai/whisper-base.en',
'openai/whisper-small',
'openai/whisper-small.en',
'openai/whisper-medium',
'openai/whisper-medium.en',
'openai/whisper-large',
'openai/whisper-large-v2',
'NbAiLab/nb-whisper-tiny-beta',
'NbAiLab/nb-whisper-base-beta',
'NbAiLab/nb-whisper-small-beta',
'NbAiLab/nb-whisper-medium-beta',
'NbAiLab/nb-whisper-large-beta',
],
},
'xlm': {
# Masked language modelling
'fill-mask': [
'xlm-clm-ende-1024',
'xlm-mlm-ende-1024',
'xlm-clm-enfr-1024',
'xlm-mlm-enfr-1024',
'xlm-mlm-17-1280',
'xlm-mlm-100-1280',
'xlm-mlm-en-2048',
'xlm-mlm-enro-1024',
'xlm-mlm-tlm-xnli15-1024',
'xlm-mlm-xnli15-1024',