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Update with commit 01485ceec3d2e0a9a957ec86f0a10096cecb4a94

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See: https://github.com/huggingface/transformers/commit/01485ceec3d2e0a9a957ec86f0a10096cecb4a94

Files changed (2) hide show
  1. frameworks.json +1 -1
  2. pipeline_tags.json +6 -0
frameworks.json CHANGED
@@ -87,7 +87,7 @@
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  {"model_type":"xglm","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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  {"model_type":"xlm","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"xlm-prophetnet","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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- {"model_type":"xlm-roberta","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"xlm-roberta-xl","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"xlnet","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"yoso","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
 
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  {"model_type":"xglm","pytorch":true,"tensorflow":false,"flax":true,"processor":"AutoTokenizer"}
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  {"model_type":"xlm","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"xlm-prophetnet","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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+ {"model_type":"xlm-roberta","pytorch":true,"tensorflow":true,"flax":true,"processor":"AutoTokenizer"}
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  {"model_type":"xlm-roberta-xl","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"xlnet","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
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  {"model_type":"yoso","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
pipeline_tags.json CHANGED
@@ -211,6 +211,12 @@
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  {"model_class":"FlaxWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
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  {"model_class":"FlaxXGLMForCausalLM","pipeline_tag":"text-generation","auto_class":"Flax_AutoModelForCausalLM"}
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  {"model_class":"FlaxXGLMModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
 
 
 
 
 
 
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  {"model_class":"FunnelBaseModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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  {"model_class":"FunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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  {"model_class":"FunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
 
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  {"model_class":"FlaxWav2Vec2Model","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
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  {"model_class":"FlaxXGLMForCausalLM","pipeline_tag":"text-generation","auto_class":"Flax_AutoModelForCausalLM"}
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  {"model_class":"FlaxXGLMModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
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+ {"model_class":"FlaxXLMRobertaForMaskedLM","pipeline_tag":"fill-mask","auto_class":"Flax_AutoModelForMaskedLM"}
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+ {"model_class":"FlaxXLMRobertaForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"Flax_AutoModelForMultipleChoice"}
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+ {"model_class":"FlaxXLMRobertaForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"Flax_AutoModelForQuestionAnswering"}
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+ {"model_class":"FlaxXLMRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"Flax_AutoModelForSequenceClassification"}
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+ {"model_class":"FlaxXLMRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"Flax_AutoModelForTokenClassification"}
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+ {"model_class":"FlaxXLMRobertaModel","pipeline_tag":"feature-extraction","auto_class":"Flax_AutoModel"}
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  {"model_class":"FunnelBaseModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
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  {"model_class":"FunnelForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
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  {"model_class":"FunnelForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}