Update
Browse files- frameworks.json +6 -4
- pipeline_tags.json +284 -314
frameworks.json
CHANGED
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@@ -5,8 +5,8 @@
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| 5 |
{"model_type":"bert-generation","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 6 |
{"model_type":"big_bird","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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| 7 |
{"model_type":"bigbird_pegasus","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 8 |
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{"model_type":"blenderbot","pytorch":true,"tensorflow":true,"flax":
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| 9 |
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{"model_type":"blenderbot-small","pytorch":true,"tensorflow":true,"flax":
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| 10 |
{"model_type":"camembert","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 11 |
{"model_type":"canine","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 12 |
{"model_type":"clip","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoProcessor"}
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@@ -26,7 +26,7 @@
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{"model_type":"funnel","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"gpt2","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 28 |
{"model_type":"gpt_neo","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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| 29 |
-
{"model_type":"gptj","pytorch":true,"tensorflow":false,"flax":
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| 30 |
{"model_type":"hubert","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 31 |
{"model_type":"ibert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 32 |
{"model_type":"imagegpt","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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@@ -45,6 +45,7 @@
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{"model_type":"mt5","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 46 |
{"model_type":"openai-gpt","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 47 |
{"model_type":"pegasus","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 48 |
{"model_type":"prophetnet","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 49 |
{"model_type":"qdqbert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 50 |
{"model_type":"rag","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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@@ -61,12 +62,13 @@
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{"model_type":"splinter","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"squeezebert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 63 |
{"model_type":"t5","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 64 |
-
{"model_type":"tapas","pytorch":true,"tensorflow":
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| 65 |
{"model_type":"transfo-xl","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 66 |
{"model_type":"trocr","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoProcessor"}
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| 67 |
{"model_type":"unispeech","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 68 |
{"model_type":"unispeech-sat","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"vision-encoder-decoder","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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{"model_type":"visual_bert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"vit","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoFeatureExtractor"}
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{"model_type":"wav2vec2","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoProcessor"}
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{"model_type":"bert-generation","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 6 |
{"model_type":"big_bird","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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| 7 |
{"model_type":"bigbird_pegasus","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 8 |
+
{"model_type":"blenderbot","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 9 |
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{"model_type":"blenderbot-small","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 10 |
{"model_type":"camembert","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 11 |
{"model_type":"canine","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"clip","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoProcessor"}
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{"model_type":"funnel","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"gpt2","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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{"model_type":"gpt_neo","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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{"model_type":"gptj","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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{"model_type":"hubert","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"ibert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"imagegpt","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"mt5","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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{"model_type":"openai-gpt","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"pegasus","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 48 |
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{"model_type":"perceiver","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"prophetnet","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 50 |
{"model_type":"qdqbert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 51 |
{"model_type":"rag","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"splinter","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"squeezebert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 64 |
{"model_type":"t5","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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| 65 |
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{"model_type":"tapas","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 66 |
{"model_type":"transfo-xl","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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| 67 |
{"model_type":"trocr","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoProcessor"}
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| 68 |
{"model_type":"unispeech","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 69 |
{"model_type":"unispeech-sat","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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| 70 |
{"model_type":"vision-encoder-decoder","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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| 71 |
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{"model_type":"vision-text-dual-encoder","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoProcessor"}
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{"model_type":"visual_bert","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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{"model_type":"vit","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoFeatureExtractor"}
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{"model_type":"wav2vec2","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoProcessor"}
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pipeline_tags.json
CHANGED
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@@ -1,70 +1,70 @@
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{"model_class":"FNetForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"VisualBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"LayoutLMForMaskedLM","pipeline_tag":"
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{"model_class":"RetriBertModel","pipeline_tag":"
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{"model_class":"T5ForConditionalGeneration","pipeline_tag":"
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{"model_class":"DistilBertForMaskedLM","pipeline_tag":"
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{"model_class":"AlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 8 |
-
{"model_class":"CamembertForMaskedLM","pipeline_tag":"
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{"model_class":"XLMRobertaForMaskedLM","pipeline_tag":"
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{"model_class":"BartForConditionalGeneration","pipeline_tag":"
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{"model_class":"FSMTForConditionalGeneration","pipeline_tag":"
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{"model_class":"LongformerForMaskedLM","pipeline_tag":"
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{"model_class":"RobertaForMaskedLM","pipeline_tag":"
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{"model_class":"SqueezeBertForMaskedLM","pipeline_tag":"
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{"model_class":"BertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"BigBirdForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"OpenAIGPTLMHeadModel","pipeline_tag":"
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{"model_class":"GPT2LMHeadModel","pipeline_tag":"
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{"model_class":"MegatronBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"MobileBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"TransfoXLLMHeadModel","pipeline_tag":"
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{"model_class":"XLNetLMHeadModel","pipeline_tag":"
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{"model_class":"FlaubertWithLMHeadModel","pipeline_tag":"
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{"model_class":"XLMWithLMHeadModel","pipeline_tag":"
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{"model_class":"CTRLLMHeadModel","pipeline_tag":"
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{"model_class":"ElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"LxmertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"FunnelForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"MPNetForMaskedLM","pipeline_tag":"
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{"model_class":"TapasForMaskedLM","pipeline_tag":"
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{"model_class":"IBertForMaskedLM","pipeline_tag":"
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{"model_class":"DebertaForMaskedLM","pipeline_tag":"
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{"model_class":"DebertaV2ForMaskedLM","pipeline_tag":"
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{"model_class":"Wav2Vec2ForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"UniSpeechSatForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"UniSpeechForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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{"model_class":"TFLxmertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFT5ForConditionalGeneration","pipeline_tag":"
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{"model_class":"TFDistilBertForMaskedLM","pipeline_tag":"
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{"model_class":"TFAlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFBartForConditionalGeneration","pipeline_tag":"
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{"model_class":"TFCamembertForMaskedLM","pipeline_tag":"
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{"model_class":"TFXLMRobertaForMaskedLM","pipeline_tag":"
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{"model_class":"TFRobertaForMaskedLM","pipeline_tag":"
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{"model_class":"TFLayoutLMForMaskedLM","pipeline_tag":"
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{"model_class":"TFBertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFOpenAIGPTLMHeadModel","pipeline_tag":"
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{"model_class":"TFGPT2LMHeadModel","pipeline_tag":"
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{"model_class":"TFMobileBertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFTransfoXLLMHeadModel","pipeline_tag":"
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{"model_class":"TFXLNetLMHeadModel","pipeline_tag":"
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{"model_class":"TFFlaubertWithLMHeadModel","pipeline_tag":"
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{"model_class":"TFXLMWithLMHeadModel","pipeline_tag":"
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{"model_class":"TFCTRLLMHeadModel","pipeline_tag":"
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{"model_class":"TFElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFFunnelForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"TFMPNetForMaskedLM","pipeline_tag":"
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{"model_class":"FlaxAlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"FlaxRobertaForMaskedLM","pipeline_tag":"
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{"model_class":"FlaxBertForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"FlaxBigBirdForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"FlaxBartForConditionalGeneration","pipeline_tag":"
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{"model_class":"FlaxElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"FlaxMBartForConditionalGeneration","pipeline_tag":"
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{"model_class":"FlaxT5ForConditionalGeneration","pipeline_tag":"
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{"model_class":"FlaxMT5ForConditionalGeneration","pipeline_tag":"
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{"model_class":"FlaxWav2Vec2ForPreTraining","pipeline_tag":"pretraining","auto_class":"
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{"model_class":"ImageGPTModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"QDQBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"FNetModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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@@ -93,7 +93,6 @@
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{"model_class":"ConvBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"LEDModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"BlenderbotSmallModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"RetriBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"MT5Model","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"T5Model","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"PegasusModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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@@ -137,63 +136,63 @@
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{"model_class":"SplinterModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"SEWModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"SEWDModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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{"model_class":"TFDebertaV2Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFDebertaModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFRemBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFRoFormerModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFConvBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFLEDModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFLxmertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFMT5Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFT5Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFDistilBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFAlbertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFBartModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFCamembertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFXLMRobertaModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFLongformerModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFRobertaModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFLayoutLMModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFOpenAIGPTModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFGPT2Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFMobileBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFTransfoXLModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFXLNetModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFFlaubertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFXLMModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFCTRLModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFElectraModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFFunnelModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFFunnelBaseModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFDPRQuestionEncoder","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFMPNetModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFMBartModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFMarianModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFPegasusModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFBlenderbotModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFBlenderbotSmallModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFViTModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"TFHubertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxPegasusModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxDistilBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxAlbertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxRobertaModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxBertModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxBeitModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxBigBirdModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxBartModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxGPT2Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxGPTNeoModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxElectraModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxCLIPModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxViTModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxMBartModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxT5Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxMT5Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"FlaxMarianModel","pipeline_tag":"feature-extraction","auto_class":"
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{"model_class":"Wav2Vec2ForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
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{"model_class":"UniSpeechSatForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
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{"model_class":"UniSpeechForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
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{"model_class":"XLMRobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"RobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"BertLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"OpenAIGPTLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"GPT2LMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"TransfoXLLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"XLNetLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"XLMWithLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"CTRLLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"ReformerModelWithLMHead","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"BertGenerationDecoder","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"XLMProphetNetForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"BlenderbotSmallForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"MegatronBertForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"Speech2Text2ForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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{"model_class":"TFRemBertForCausalLM","pipeline_tag":"text-generation","auto_class":"
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{"model_class":"TFRoFormerForCausalLM","pipeline_tag":"text-generation","auto_class":"
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{"model_class":"TFRobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"
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{"model_class":"TFBertLMHeadModel","pipeline_tag":"text-generation","auto_class":"
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{"model_class":"Wav2Vec2ForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"UniSpeechSatForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"UniSpeechForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"HubertForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"SEWForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"SEWDForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
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{"model_class":"ViTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"DeiTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"DeiTForImageClassificationWithTeacher","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"BeitForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"SegformerForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"ImageGPTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
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{"model_class":"TFViTForImageClassification","pipeline_tag":"image-classification","auto_class":"
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{"model_class":"FlaxViTForImageClassification","pipeline_tag":"image-classification","auto_class":"
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{"model_class":"FlaxBeitForImageClassification","pipeline_tag":"image-classification","auto_class":"
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{"model_class":"DetrForSegmentation","pipeline_tag":"image-segmentation","auto_class":"AutoModelForImageSegmentation"}
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{"model_class":"QDQBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"FNetForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"BigBirdForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"Wav2Vec2ForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"ConvBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"LayoutLMForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"DistilBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"AlbertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"
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{"model_class":"MBartForConditionalGeneration","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"CamembertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"XLMRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"LongformerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"RobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"SqueezeBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"BertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"MegatronBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"MobileBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"FlaubertWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"XLMWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"ElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"ReformerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"FunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"TFLayoutLMForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFMobileBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFFlaubertWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFXLMWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFFunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"TFMPNetForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TFAutoModelForMaskedLM"}
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{"model_class":"FlaxDistilBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxAlbertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxBigBirdForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxBartForConditionalGeneration","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"FlaxMBartForConditionalGeneration","pipeline_tag":"fill-mask","auto_class":"FlaxAutoModelForMaskedLM"}
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{"model_class":"DetrForObjectDetection","pipeline_tag":"object-detection","auto_class":"AutoModelForObjectDetection"}
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{"model_class":"QDQBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
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{"model_class":"FNetForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
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@@ -351,65 +312,55 @@
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{"model_class":"DebertaV2ForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
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{"model_class":"IBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
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{"model_class":"SplinterForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
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{"model_class":"TFDebertaV2ForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFDebertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFRemBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFRoFormerForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFConvBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFDistilBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFAlbertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFCamembertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFXLMRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFLongformerForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFXLNetForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFMobileBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFFlaubertForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"
|
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{"model_class":"TFXLMForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFElectraForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFFunnelForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"TFMPNetForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxDistilBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxAlbertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxBigBirdForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxBartForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxElectraForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"FlaxMBartForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"
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{"model_class":"BigBirdPegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"M2M100ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"LEDForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"BlenderbotSmallForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"MT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"T5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"PegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"MarianMTModel","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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-
{"model_class":"MBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"BlenderbotForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"BartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"FSMTForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"EncoderDecoderModel","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"XLMProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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{"model_class":"ProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
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{"model_class":"TFLEDForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"
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{"model_class":"TFMT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"
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{"model_class":"FlaxBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"FlaxMBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"FlaxT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"FlaxMT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"FlaxMarianMTModel","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"FlaxEncoderDecoderModel","pipeline_tag":"text2text-generation","auto_class":"FlaxAutoModelForSeq2SeqLM"}
|
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{"model_class":"QDQBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
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{"model_class":"FNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 415 |
{"model_class":"GPTJForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
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|
@@ -450,38 +401,38 @@
|
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| 450 |
{"model_class":"MPNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 451 |
{"model_class":"TapasForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 452 |
{"model_class":"IBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
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-
{"model_class":"TFDebertaV2ForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 454 |
-
{"model_class":"TFDebertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 455 |
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{"model_class":"TFRemBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 456 |
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{"model_class":"TFRoFormerForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 457 |
-
{"model_class":"TFConvBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 458 |
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{"model_class":"TFDistilBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 459 |
-
{"model_class":"TFAlbertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 460 |
-
{"model_class":"TFCamembertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 461 |
-
{"model_class":"TFXLMRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 462 |
-
{"model_class":"TFLongformerForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 463 |
-
{"model_class":"TFRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 464 |
-
{"model_class":"TFLayoutLMForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 465 |
-
{"model_class":"TFBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 466 |
-
{"model_class":"TFXLNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 467 |
-
{"model_class":"TFMobileBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 468 |
-
{"model_class":"TFFlaubertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 469 |
-
{"model_class":"TFXLMForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 470 |
-
{"model_class":"TFElectraForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 471 |
-
{"model_class":"TFFunnelForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 472 |
-
{"model_class":"TFGPT2ForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 473 |
-
{"model_class":"TFMPNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 474 |
-
{"model_class":"TFOpenAIGPTForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 475 |
-
{"model_class":"TFTransfoXLForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 476 |
-
{"model_class":"TFCTRLForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 477 |
-
{"model_class":"FlaxDistilBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 478 |
-
{"model_class":"FlaxAlbertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 479 |
-
{"model_class":"FlaxRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 480 |
-
{"model_class":"FlaxBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 481 |
-
{"model_class":"FlaxBigBirdForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 482 |
-
{"model_class":"FlaxBartForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 483 |
-
{"model_class":"FlaxElectraForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 484 |
-
{"model_class":"FlaxMBartForSequenceClassification","pipeline_tag":"text-classification","auto_class":"
|
| 485 |
{"model_class":"SpeechEncoderDecoderModel","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
|
| 486 |
{"model_class":"Speech2TextForConditionalGeneration","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
|
| 487 |
{"model_class":"TapasForQuestionAnswering","pipeline_tag":"table-question-answering","auto_class":"AutoModelForTableQuestionAnswering"}
|
|
@@ -514,32 +465,32 @@
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{"model_class":"DebertaV2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
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{"model_class":"GPT2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
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{"model_class":"IBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
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| 517 |
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{"model_class":"TFDebertaV2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 518 |
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{"model_class":"TFDebertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFRemBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFRoFormerForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFConvBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 522 |
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{"model_class":"TFDistilBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 523 |
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{"model_class":"TFAlbertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 524 |
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{"model_class":"TFCamembertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 525 |
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{"model_class":"TFFlaubertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 526 |
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{"model_class":"TFXLMForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 527 |
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{"model_class":"TFXLMRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 528 |
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{"model_class":"TFLongformerForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 529 |
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{"model_class":"TFRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFLayoutLMForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 531 |
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{"model_class":"TFBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 532 |
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{"model_class":"TFMobileBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFXLNetForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFElectraForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFFunnelForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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{"model_class":"TFMPNetForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 537 |
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{"model_class":"FlaxDistilBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 538 |
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{"model_class":"FlaxAlbertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 539 |
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{"model_class":"FlaxRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 540 |
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{"model_class":"FlaxBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 541 |
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{"model_class":"FlaxBigBirdForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 542 |
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{"model_class":"FlaxElectraForTokenClassification","pipeline_tag":"token-classification","auto_class":"
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| 543 |
{"model_class":"QDQBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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| 544 |
{"model_class":"FNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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| 545 |
{"model_class":"RemBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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@@ -564,34 +515,53 @@
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{"model_class":"FunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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{"model_class":"MPNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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| 566 |
{"model_class":"IBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
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| 567 |
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{"model_class":"TFRemBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 568 |
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{"model_class":"TFRoFormerForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 569 |
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{"model_class":"TFConvBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 570 |
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{"model_class":"TFCamembertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 571 |
-
{"model_class":"TFXLMForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 572 |
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{"model_class":"TFXLMRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 573 |
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{"model_class":"TFLongformerForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 574 |
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{"model_class":"TFRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 575 |
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{"model_class":"TFBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 576 |
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{"model_class":"TFDistilBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 577 |
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{"model_class":"TFMobileBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 578 |
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{"model_class":"TFXLNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 579 |
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{"model_class":"TFFlaubertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 580 |
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{"model_class":"TFAlbertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 581 |
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{"model_class":"TFElectraForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 582 |
-
{"model_class":"TFFunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 583 |
-
{"model_class":"TFMPNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 584 |
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{"model_class":"FlaxDistilBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 585 |
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{"model_class":"FlaxAlbertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 586 |
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{"model_class":"FlaxRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 587 |
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{"model_class":"FlaxBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 588 |
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{"model_class":"FlaxBigBirdForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 589 |
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{"model_class":"FlaxElectraForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"
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| 590 |
{"model_class":"QDQBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
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| 591 |
{"model_class":"BertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
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| 592 |
{"model_class":"FNetForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
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| 593 |
{"model_class":"MegatronBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
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| 594 |
{"model_class":"MobileBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
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| 595 |
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{"model_class":"TFBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"
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| 596 |
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{"model_class":"TFMobileBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"
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| 597 |
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{"model_class":"FlaxBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"
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| 1 |
{"model_class":"FNetForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 2 |
{"model_class":"VisualBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 3 |
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{"model_class":"LayoutLMForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 4 |
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{"model_class":"RetriBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 5 |
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{"model_class":"T5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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| 6 |
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{"model_class":"DistilBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 7 |
{"model_class":"AlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 8 |
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{"model_class":"CamembertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 9 |
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{"model_class":"XLMRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 10 |
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{"model_class":"BartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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| 11 |
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{"model_class":"FSMTForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
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| 12 |
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{"model_class":"LongformerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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{"model_class":"RobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 14 |
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{"model_class":"SqueezeBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 15 |
{"model_class":"BertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 16 |
{"model_class":"BigBirdForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 17 |
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{"model_class":"OpenAIGPTLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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| 18 |
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{"model_class":"GPT2LMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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| 19 |
{"model_class":"MegatronBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 20 |
{"model_class":"MobileBertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 21 |
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{"model_class":"TransfoXLLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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| 22 |
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{"model_class":"XLNetLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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| 23 |
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{"model_class":"FlaubertWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 24 |
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{"model_class":"XLMWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 25 |
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{"model_class":"CTRLLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
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| 26 |
{"model_class":"ElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 27 |
{"model_class":"LxmertForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 28 |
{"model_class":"FunnelForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 29 |
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{"model_class":"MPNetForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 30 |
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{"model_class":"TapasForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 31 |
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{"model_class":"IBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 32 |
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{"model_class":"DebertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 33 |
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{"model_class":"DebertaV2ForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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| 34 |
{"model_class":"Wav2Vec2ForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 35 |
{"model_class":"UniSpeechSatForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 36 |
{"model_class":"UniSpeechForPreTraining","pipeline_tag":"pretraining","auto_class":"AutoModelForPreTraining"}
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| 37 |
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{"model_class":"TFLxmertForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 38 |
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{"model_class":"TFT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
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| 39 |
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{"model_class":"TFDistilBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 40 |
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{"model_class":"TFAlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 41 |
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{"model_class":"TFBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
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| 42 |
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{"model_class":"TFCamembertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 43 |
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{"model_class":"TFXLMRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 44 |
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{"model_class":"TFRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 45 |
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{"model_class":"TFLayoutLMForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 46 |
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{"model_class":"TFBertForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 47 |
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{"model_class":"TFOpenAIGPTLMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
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| 48 |
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{"model_class":"TFGPT2LMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
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| 49 |
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{"model_class":"TFMobileBertForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 50 |
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{"model_class":"TFTransfoXLLMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
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| 51 |
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{"model_class":"TFXLNetLMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
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| 52 |
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{"model_class":"TFFlaubertWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 53 |
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{"model_class":"TFXLMWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 54 |
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{"model_class":"TFCTRLLMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
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| 55 |
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{"model_class":"TFElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 56 |
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{"model_class":"TFFunnelForPreTraining","pipeline_tag":"pretraining","auto_class":"TF_AutoModelForPreTraining"}
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| 57 |
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{"model_class":"TFMPNetForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
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| 58 |
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{"model_class":"FlaxAlbertForPreTraining","pipeline_tag":"pretraining","auto_class":"Flax_AutoModelForPreTraining"}
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| 59 |
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{"model_class":"FlaxRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
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| 60 |
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{"model_class":"FlaxBertForPreTraining","pipeline_tag":"pretraining","auto_class":"Flax_AutoModelForPreTraining"}
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| 61 |
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{"model_class":"FlaxBigBirdForPreTraining","pipeline_tag":"pretraining","auto_class":"Flax_AutoModelForPreTraining"}
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| 62 |
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{"model_class":"FlaxBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
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| 63 |
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{"model_class":"FlaxElectraForPreTraining","pipeline_tag":"pretraining","auto_class":"Flax_AutoModelForPreTraining"}
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| 64 |
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{"model_class":"FlaxMBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
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| 65 |
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{"model_class":"FlaxT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
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| 66 |
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{"model_class":"FlaxMT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
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| 67 |
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{"model_class":"FlaxWav2Vec2ForPreTraining","pipeline_tag":"pretraining","auto_class":"Flax_AutoModelForPreTraining"}
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| 68 |
{"model_class":"ImageGPTModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 69 |
{"model_class":"QDQBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 70 |
{"model_class":"FNetModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 93 |
{"model_class":"ConvBertModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 94 |
{"model_class":"LEDModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 95 |
{"model_class":"BlenderbotSmallModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 96 |
{"model_class":"MT5Model","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 97 |
{"model_class":"T5Model","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 98 |
{"model_class":"PegasusModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 136 |
{"model_class":"SplinterModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 137 |
{"model_class":"SEWModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 138 |
{"model_class":"SEWDModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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| 139 |
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{"model_class":"TFDebertaV2Model","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 140 |
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{"model_class":"TFDebertaModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 141 |
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{"model_class":"TFRemBertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 142 |
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{"model_class":"TFRoFormerModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 143 |
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{"model_class":"TFConvBertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 144 |
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{"model_class":"TFLEDModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 145 |
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{"model_class":"TFLxmertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 146 |
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{"model_class":"TFMT5Model","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 147 |
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{"model_class":"TFT5Model","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 148 |
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{"model_class":"TFDistilBertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 149 |
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{"model_class":"TFAlbertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 150 |
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{"model_class":"TFBartModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 151 |
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{"model_class":"TFCamembertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 152 |
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{"model_class":"TFXLMRobertaModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 153 |
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{"model_class":"TFLongformerModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 154 |
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{"model_class":"TFRobertaModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 155 |
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{"model_class":"TFLayoutLMModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 156 |
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{"model_class":"TFBertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 157 |
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{"model_class":"TFOpenAIGPTModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 158 |
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{"model_class":"TFGPT2Model","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 159 |
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{"model_class":"TFMobileBertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 160 |
+
{"model_class":"TFTransfoXLModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 161 |
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{"model_class":"TFXLNetModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 162 |
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{"model_class":"TFFlaubertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 163 |
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{"model_class":"TFXLMModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 164 |
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{"model_class":"TFCTRLModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 165 |
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{"model_class":"TFElectraModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 166 |
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{"model_class":"TFFunnelModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 167 |
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{"model_class":"TFFunnelBaseModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 168 |
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{"model_class":"TFDPRQuestionEncoder","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 169 |
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{"model_class":"TFMPNetModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 170 |
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{"model_class":"TFMBartModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 171 |
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{"model_class":"TFMarianModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 172 |
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{"model_class":"TFPegasusModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 173 |
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{"model_class":"TFBlenderbotModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 174 |
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{"model_class":"TFBlenderbotSmallModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 175 |
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{"model_class":"TFViTModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 176 |
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{"model_class":"TFWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 177 |
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{"model_class":"TFHubertModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
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| 178 |
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{"model_class":"FlaxPegasusModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
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| 179 |
+
{"model_class":"FlaxDistilBertModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 180 |
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{"model_class":"FlaxAlbertModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 181 |
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{"model_class":"FlaxRobertaModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 182 |
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{"model_class":"FlaxBertModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 183 |
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{"model_class":"FlaxBeitModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 184 |
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{"model_class":"FlaxBigBirdModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 185 |
+
{"model_class":"FlaxBartModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 186 |
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{"model_class":"FlaxGPT2Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 187 |
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{"model_class":"FlaxGPTNeoModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 188 |
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{"model_class":"FlaxElectraModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 189 |
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{"model_class":"FlaxCLIPModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 190 |
+
{"model_class":"FlaxViTModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 191 |
+
{"model_class":"FlaxMBartModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 192 |
+
{"model_class":"FlaxT5Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 193 |
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{"model_class":"FlaxMT5Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 194 |
+
{"model_class":"FlaxWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 195 |
+
{"model_class":"FlaxMarianModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 196 |
{"model_class":"Wav2Vec2ForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
|
| 197 |
{"model_class":"UniSpeechSatForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
|
| 198 |
{"model_class":"UniSpeechForSequenceClassification","pipeline_tag":"audio-classification","auto_class":"AutoModelForAudioClassification"}
|
|
|
|
| 212 |
{"model_class":"XLMRobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 213 |
{"model_class":"RobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 214 |
{"model_class":"BertLMHeadModel","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
|
|
|
|
|
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|
| 215 |
{"model_class":"ReformerModelWithLMHead","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 216 |
{"model_class":"BertGenerationDecoder","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 217 |
{"model_class":"XLMProphetNetForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
|
|
|
| 224 |
{"model_class":"BlenderbotSmallForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 225 |
{"model_class":"MegatronBertForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 226 |
{"model_class":"Speech2Text2ForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
|
| 227 |
+
{"model_class":"TFRemBertForCausalLM","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
|
| 228 |
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{"model_class":"TFRoFormerForCausalLM","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
|
| 229 |
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{"model_class":"TFRobertaForCausalLM","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
|
| 230 |
+
{"model_class":"TFBertLMHeadModel","pipeline_tag":"text-generation","auto_class":"TF_AutoModelForCausalLM"}
|
| 231 |
+
{"model_class":"FlaxGPT2LMHeadModel","pipeline_tag":"text-generation","auto_class":"Flax_AutoModelForCausalLM"}
|
| 232 |
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{"model_class":"FlaxGPTNeoForCausalLM","pipeline_tag":"text-generation","auto_class":"Flax_AutoModelForCausalLM"}
|
| 233 |
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{"model_class":"Wav2Vec2ForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
| 234 |
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{"model_class":"UniSpeechSatForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
| 235 |
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{"model_class":"UniSpeechForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
| 236 |
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{"model_class":"HubertForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
| 237 |
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{"model_class":"SEWForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
| 238 |
+
{"model_class":"SEWDForCTC","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForCTC"}
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
| 239 |
{"model_class":"ViTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 240 |
{"model_class":"DeiTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 241 |
{"model_class":"DeiTForImageClassificationWithTeacher","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 242 |
{"model_class":"BeitForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 243 |
{"model_class":"SegformerForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 244 |
{"model_class":"ImageGPTForImageClassification","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 245 |
+
{"model_class":"TFViTForImageClassification","pipeline_tag":"image-classification","auto_class":"TF_AutoModelForImageClassification"}
|
| 246 |
+
{"model_class":"FlaxViTForImageClassification","pipeline_tag":"image-classification","auto_class":"Flax_AutoModelForImageClassification"}
|
| 247 |
+
{"model_class":"FlaxBeitForImageClassification","pipeline_tag":"image-classification","auto_class":"Flax_AutoModelForImageClassification"}
|
| 248 |
{"model_class":"DetrForSegmentation","pipeline_tag":"image-segmentation","auto_class":"AutoModelForImageSegmentation"}
|
| 249 |
{"model_class":"QDQBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 250 |
{"model_class":"FNetForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
|
|
|
| 253 |
{"model_class":"BigBirdForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 254 |
{"model_class":"Wav2Vec2ForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 255 |
{"model_class":"ConvBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
|
|
|
|
|
|
| 256 |
{"model_class":"AlbertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 257 |
+
{"model_class":"MBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 258 |
{"model_class":"BertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 259 |
{"model_class":"MegatronBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 260 |
{"model_class":"MobileBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
|
|
|
|
|
|
| 261 |
{"model_class":"ElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 262 |
{"model_class":"ReformerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 263 |
{"model_class":"FunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 264 |
+
{"model_class":"TFDebertaV2ForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 265 |
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{"model_class":"TFDebertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 266 |
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{"model_class":"TFRemBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 267 |
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{"model_class":"TFRoFormerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 268 |
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{"model_class":"TFConvBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 269 |
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{"model_class":"TFAlbertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 270 |
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{"model_class":"TFLongformerForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 271 |
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{"model_class":"TFBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 272 |
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{"model_class":"TFMobileBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 273 |
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{"model_class":"TFElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 274 |
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{"model_class":"TFFunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 275 |
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{"model_class":"FlaxDistilBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
|
| 276 |
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{"model_class":"FlaxAlbertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
|
| 277 |
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{"model_class":"FlaxBertForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
|
| 278 |
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{"model_class":"FlaxBigBirdForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
|
| 279 |
+
{"model_class":"FlaxElectraForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
|
|
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|
|
|
|
| 280 |
{"model_class":"DetrForObjectDetection","pipeline_tag":"object-detection","auto_class":"AutoModelForObjectDetection"}
|
| 281 |
{"model_class":"QDQBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
| 282 |
{"model_class":"FNetForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
|
|
|
| 312 |
{"model_class":"DebertaV2ForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
| 313 |
{"model_class":"IBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
| 314 |
{"model_class":"SplinterForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
| 315 |
+
{"model_class":"TFDebertaV2ForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 316 |
+
{"model_class":"TFDebertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 317 |
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{"model_class":"TFRemBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 318 |
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{"model_class":"TFRoFormerForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 319 |
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{"model_class":"TFConvBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 320 |
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{"model_class":"TFDistilBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 321 |
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{"model_class":"TFAlbertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 322 |
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{"model_class":"TFCamembertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 323 |
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{"model_class":"TFXLMRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 324 |
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{"model_class":"TFLongformerForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 325 |
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{"model_class":"TFRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 326 |
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{"model_class":"TFBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 327 |
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{"model_class":"TFXLNetForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 328 |
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{"model_class":"TFMobileBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 329 |
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{"model_class":"TFFlaubertForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 330 |
+
{"model_class":"TFXLMForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 331 |
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{"model_class":"TFElectraForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 332 |
+
{"model_class":"TFFunnelForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 333 |
+
{"model_class":"TFMPNetForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"TF_AutoModelForQuestionAnswering"}
|
| 334 |
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{"model_class":"FlaxDistilBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 335 |
+
{"model_class":"FlaxAlbertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 336 |
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{"model_class":"FlaxRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 337 |
+
{"model_class":"FlaxBertForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 338 |
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{"model_class":"FlaxBigBirdForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 339 |
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{"model_class":"FlaxBartForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 340 |
+
{"model_class":"FlaxElectraForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 341 |
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{"model_class":"FlaxMBartForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
|
| 342 |
{"model_class":"BigBirdPegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 343 |
{"model_class":"M2M100ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 344 |
{"model_class":"LEDForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 345 |
{"model_class":"BlenderbotSmallForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 346 |
{"model_class":"MT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
|
|
|
| 347 |
{"model_class":"PegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 348 |
{"model_class":"MarianMTModel","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
|
|
|
| 349 |
{"model_class":"BlenderbotForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
|
|
|
|
|
|
| 350 |
{"model_class":"EncoderDecoderModel","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 351 |
{"model_class":"XLMProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 352 |
{"model_class":"ProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"AutoModelForSeq2SeqLM"}
|
| 353 |
+
{"model_class":"TFLEDForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 354 |
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{"model_class":"TFMT5ForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 355 |
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{"model_class":"TFMarianMTModel","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 356 |
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{"model_class":"TFMBartForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 357 |
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{"model_class":"TFPegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 358 |
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{"model_class":"TFBlenderbotForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 359 |
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{"model_class":"TFBlenderbotSmallForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 360 |
+
{"model_class":"TFEncoderDecoderModel","pipeline_tag":"text2text-generation","auto_class":"TF_AutoModelForSeq2SeqLM"}
|
| 361 |
+
{"model_class":"FlaxPegasusForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
|
| 362 |
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{"model_class":"FlaxMarianMTModel","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
|
| 363 |
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{"model_class":"FlaxEncoderDecoderModel","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 364 |
{"model_class":"QDQBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 365 |
{"model_class":"FNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 366 |
{"model_class":"GPTJForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
|
|
|
| 401 |
{"model_class":"MPNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 402 |
{"model_class":"TapasForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 403 |
{"model_class":"IBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 404 |
+
{"model_class":"TFDebertaV2ForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 405 |
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{"model_class":"TFDebertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 406 |
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{"model_class":"TFRemBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 407 |
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{"model_class":"TFRoFormerForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 408 |
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{"model_class":"TFConvBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 409 |
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{"model_class":"TFDistilBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 410 |
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{"model_class":"TFAlbertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 411 |
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{"model_class":"TFCamembertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 412 |
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{"model_class":"TFXLMRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 413 |
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{"model_class":"TFLongformerForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 414 |
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{"model_class":"TFRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 415 |
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{"model_class":"TFLayoutLMForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 416 |
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{"model_class":"TFBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 417 |
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{"model_class":"TFXLNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 418 |
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{"model_class":"TFMobileBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 419 |
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{"model_class":"TFFlaubertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 420 |
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{"model_class":"TFXLMForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 421 |
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{"model_class":"TFElectraForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 422 |
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{"model_class":"TFFunnelForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 423 |
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{"model_class":"TFGPT2ForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 424 |
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{"model_class":"TFMPNetForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 425 |
+
{"model_class":"TFOpenAIGPTForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 426 |
+
{"model_class":"TFTransfoXLForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 427 |
+
{"model_class":"TFCTRLForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 428 |
+
{"model_class":"FlaxDistilBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 429 |
+
{"model_class":"FlaxAlbertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 430 |
+
{"model_class":"FlaxRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 431 |
+
{"model_class":"FlaxBertForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 432 |
+
{"model_class":"FlaxBigBirdForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 433 |
+
{"model_class":"FlaxBartForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 434 |
+
{"model_class":"FlaxElectraForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 435 |
+
{"model_class":"FlaxMBartForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
|
| 436 |
{"model_class":"SpeechEncoderDecoderModel","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
|
| 437 |
{"model_class":"Speech2TextForConditionalGeneration","pipeline_tag":"automatic-speech-recognition","auto_class":"AutoModelForSpeechSeq2Seq"}
|
| 438 |
{"model_class":"TapasForQuestionAnswering","pipeline_tag":"table-question-answering","auto_class":"AutoModelForTableQuestionAnswering"}
|
|
|
|
| 465 |
{"model_class":"DebertaV2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
|
| 466 |
{"model_class":"GPT2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
|
| 467 |
{"model_class":"IBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
|
| 468 |
+
{"model_class":"TFDebertaV2ForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 469 |
+
{"model_class":"TFDebertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 470 |
+
{"model_class":"TFRemBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 471 |
+
{"model_class":"TFRoFormerForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 472 |
+
{"model_class":"TFConvBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 473 |
+
{"model_class":"TFDistilBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 474 |
+
{"model_class":"TFAlbertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 475 |
+
{"model_class":"TFCamembertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 476 |
+
{"model_class":"TFFlaubertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 477 |
+
{"model_class":"TFXLMForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 478 |
+
{"model_class":"TFXLMRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 479 |
+
{"model_class":"TFLongformerForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 480 |
+
{"model_class":"TFRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 481 |
+
{"model_class":"TFLayoutLMForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 482 |
+
{"model_class":"TFBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 483 |
+
{"model_class":"TFMobileBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 484 |
+
{"model_class":"TFXLNetForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 485 |
+
{"model_class":"TFElectraForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 486 |
+
{"model_class":"TFFunnelForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 487 |
+
{"model_class":"TFMPNetForTokenClassification","pipeline_tag":"token-classification","auto_class":"TF_AutoModelForTokenClassification"}
|
| 488 |
+
{"model_class":"FlaxDistilBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 489 |
+
{"model_class":"FlaxAlbertForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 490 |
+
{"model_class":"FlaxRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 491 |
+
{"model_class":"FlaxBertForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 492 |
+
{"model_class":"FlaxBigBirdForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 493 |
+
{"model_class":"FlaxElectraForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
|
| 494 |
{"model_class":"QDQBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
| 495 |
{"model_class":"FNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
| 496 |
{"model_class":"RemBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
|
|
|
| 515 |
{"model_class":"FunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
| 516 |
{"model_class":"MPNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
| 517 |
{"model_class":"IBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
|
| 518 |
+
{"model_class":"TFRemBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 519 |
+
{"model_class":"TFRoFormerForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 520 |
+
{"model_class":"TFConvBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 521 |
+
{"model_class":"TFCamembertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 522 |
+
{"model_class":"TFXLMForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 523 |
+
{"model_class":"TFXLMRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 524 |
+
{"model_class":"TFLongformerForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 525 |
+
{"model_class":"TFRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 526 |
+
{"model_class":"TFBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 527 |
+
{"model_class":"TFDistilBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 528 |
+
{"model_class":"TFMobileBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 529 |
+
{"model_class":"TFXLNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 530 |
+
{"model_class":"TFFlaubertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 531 |
+
{"model_class":"TFAlbertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 532 |
+
{"model_class":"TFElectraForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 533 |
+
{"model_class":"TFFunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 534 |
+
{"model_class":"TFMPNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"TF_AutoModelForMultipleChoice"}
|
| 535 |
+
{"model_class":"FlaxDistilBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 536 |
+
{"model_class":"FlaxAlbertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 537 |
+
{"model_class":"FlaxRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 538 |
+
{"model_class":"FlaxBertForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 539 |
+
{"model_class":"FlaxBigBirdForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 540 |
+
{"model_class":"FlaxElectraForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
|
| 541 |
{"model_class":"QDQBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
|
| 542 |
{"model_class":"BertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
|
| 543 |
{"model_class":"FNetForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
|
| 544 |
{"model_class":"MegatronBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
|
| 545 |
{"model_class":"MobileBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"AutoModelForNextSentencePrediction"}
|
| 546 |
+
{"model_class":"TFBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"TF_AutoModelForNextSentencePrediction"}
|
| 547 |
+
{"model_class":"TFMobileBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"TF_AutoModelForNextSentencePrediction"}
|
| 548 |
+
{"model_class":"FlaxBertForNextSentencePrediction","pipeline_tag":"next-sentence-prediction","auto_class":"Flax_AutoModelForNextSentencePrediction"}
|
| 549 |
+
{"model_class":"TFTapasForMaskedLM","pipeline_tag":"fill-mask","auto_class":"TF_AutoModelForMaskedLM"}
|
| 550 |
+
{"model_class":"VisionTextDualEncoderModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
|
| 551 |
+
{"model_class":"PerceiverModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
|
| 552 |
+
{"model_class":"TFTapasModel","pipeline_tag":"feature-extraction","auto_class":"TF_AutoModel"}
|
| 553 |
+
{"model_class":"FlaxBlenderbotSmallModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 554 |
+
{"model_class":"FlaxVisionTextDualEncoderModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 555 |
+
{"model_class":"FlaxGPTJModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 556 |
+
{"model_class":"FlaxBlenderbotModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
|
| 557 |
+
{"model_class":"FlaxGPTJForCausalLM","pipeline_tag":"text-generation","auto_class":"Flax_AutoModelForCausalLM"}
|
| 558 |
+
{"model_class":"PerceiverForImageClassificationLearned","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 559 |
+
{"model_class":"PerceiverForImageClassificationFourier","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 560 |
+
{"model_class":"PerceiverForImageClassificationConvProcessing","pipeline_tag":"image-classification","auto_class":"AutoModelForImageClassification"}
|
| 561 |
+
{"model_class":"PerceiverForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
|
| 562 |
+
{"model_class":"GPTJForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
|
| 563 |
+
{"model_class":"FlaxBlenderbotSmallForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
|
| 564 |
+
{"model_class":"FlaxBlenderbotForConditionalGeneration","pipeline_tag":"text2text-generation","auto_class":"Flax_AutoModelForSeq2SeqLM"}
|
| 565 |
+
{"model_class":"PerceiverForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
|
| 566 |
+
{"model_class":"TFTapasForSequenceClassification","pipeline_tag":"text-classification","auto_class":"TF_AutoModelForSequenceClassification"}
|
| 567 |
+
{"model_class":"TFTapasForQuestionAnswering","pipeline_tag":"table-question-answering","auto_class":"TF_AutoModelForTableQuestionAnswering"}
|