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Unverified Commit 3b1f5caf authored by Lysandre Debut's avatar Lysandre Debut Committed by GitHub
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Add from_pretrained to dummy timm objects (#12097) 



* Add from_pretrained to dummy timm

* Fix at the source

* Update utils/check_dummies.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Missing pretrained dummies

* Style
Co-authored-by: default avatarSylvain Gugger <sylvain.gugger@gmail.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
parent 15b498f3
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Inline Side-by-side
Showing with 1158 additions and 1071 deletions
src/transformers/utils/dummy_flax_objects.py
View file @ 3b1f5caf
...@@ -37,8 +37,8 @@ class FlaxPreTrainedModel: ...@@ -37,8 +37,8 @@ class FlaxPreTrainedModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
FLAX_MODEL_FOR_CAUSAL_LM_MAPPING = None FLAX_MODEL_FOR_CAUSAL_LM_MAPPING = None
...@@ -73,8 +73,8 @@ class FlaxAutoModel: ...@@ -73,8 +73,8 @@ class FlaxAutoModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForCausalLM: class FlaxAutoModelForCausalLM:
...@@ -82,8 +82,8 @@ class FlaxAutoModelForCausalLM: ...@@ -82,8 +82,8 @@ class FlaxAutoModelForCausalLM:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForMaskedLM: class FlaxAutoModelForMaskedLM:
...@@ -91,8 +91,8 @@ class FlaxAutoModelForMaskedLM: ...@@ -91,8 +91,8 @@ class FlaxAutoModelForMaskedLM:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForMultipleChoice: class FlaxAutoModelForMultipleChoice:
...@@ -100,8 +100,8 @@ class FlaxAutoModelForMultipleChoice: ...@@ -100,8 +100,8 @@ class FlaxAutoModelForMultipleChoice:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForNextSentencePrediction: class FlaxAutoModelForNextSentencePrediction:
...@@ -109,8 +109,8 @@ class FlaxAutoModelForNextSentencePrediction: ...@@ -109,8 +109,8 @@ class FlaxAutoModelForNextSentencePrediction:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForPreTraining: class FlaxAutoModelForPreTraining:
...@@ -118,8 +118,8 @@ class FlaxAutoModelForPreTraining: ...@@ -118,8 +118,8 @@ class FlaxAutoModelForPreTraining:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForQuestionAnswering: class FlaxAutoModelForQuestionAnswering:
...@@ -127,8 +127,8 @@ class FlaxAutoModelForQuestionAnswering: ...@@ -127,8 +127,8 @@ class FlaxAutoModelForQuestionAnswering:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForSequenceClassification: class FlaxAutoModelForSequenceClassification:
...@@ -136,8 +136,8 @@ class FlaxAutoModelForSequenceClassification: ...@@ -136,8 +136,8 @@ class FlaxAutoModelForSequenceClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxAutoModelForTokenClassification: class FlaxAutoModelForTokenClassification:
...@@ -145,8 +145,8 @@ class FlaxAutoModelForTokenClassification: ...@@ -145,8 +145,8 @@ class FlaxAutoModelForTokenClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertForMaskedLM: class FlaxBertForMaskedLM:
...@@ -154,8 +154,8 @@ class FlaxBertForMaskedLM: ...@@ -154,8 +154,8 @@ class FlaxBertForMaskedLM:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertForMultipleChoice: class FlaxBertForMultipleChoice:
...@@ -163,8 +163,8 @@ class FlaxBertForMultipleChoice: ...@@ -163,8 +163,8 @@ class FlaxBertForMultipleChoice:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertForNextSentencePrediction: class FlaxBertForNextSentencePrediction:
...@@ -182,8 +182,8 @@ class FlaxBertForQuestionAnswering: ...@@ -182,8 +182,8 @@ class FlaxBertForQuestionAnswering:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertForSequenceClassification: class FlaxBertForSequenceClassification:
...@@ -191,8 +191,8 @@ class FlaxBertForSequenceClassification: ...@@ -191,8 +191,8 @@ class FlaxBertForSequenceClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertForTokenClassification: class FlaxBertForTokenClassification:
...@@ -200,8 +200,8 @@ class FlaxBertForTokenClassification: ...@@ -200,8 +200,8 @@ class FlaxBertForTokenClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertModel: class FlaxBertModel:
...@@ -209,8 +209,8 @@ class FlaxBertModel: ...@@ -209,8 +209,8 @@ class FlaxBertModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxBertPreTrainedModel: class FlaxBertPreTrainedModel:
...@@ -218,8 +218,8 @@ class FlaxBertPreTrainedModel: ...@@ -218,8 +218,8 @@ class FlaxBertPreTrainedModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxCLIPModel: class FlaxCLIPModel:
...@@ -227,8 +227,8 @@ class FlaxCLIPModel: ...@@ -227,8 +227,8 @@ class FlaxCLIPModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxCLIPPreTrainedModel: class FlaxCLIPPreTrainedModel:
...@@ -236,8 +236,8 @@ class FlaxCLIPPreTrainedModel: ...@@ -236,8 +236,8 @@ class FlaxCLIPPreTrainedModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxCLIPTextModel: class FlaxCLIPTextModel:
...@@ -245,8 +245,8 @@ class FlaxCLIPTextModel: ...@@ -245,8 +245,8 @@ class FlaxCLIPTextModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxCLIPVisionModel: class FlaxCLIPVisionModel:
...@@ -254,8 +254,8 @@ class FlaxCLIPVisionModel: ...@@ -254,8 +254,8 @@ class FlaxCLIPVisionModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraForMaskedLM: class FlaxElectraForMaskedLM:
...@@ -263,8 +263,8 @@ class FlaxElectraForMaskedLM: ...@@ -263,8 +263,8 @@ class FlaxElectraForMaskedLM:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraForMultipleChoice: class FlaxElectraForMultipleChoice:
...@@ -272,8 +272,8 @@ class FlaxElectraForMultipleChoice: ...@@ -272,8 +272,8 @@ class FlaxElectraForMultipleChoice:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraForPreTraining: class FlaxElectraForPreTraining:
...@@ -286,8 +286,8 @@ class FlaxElectraForQuestionAnswering: ...@@ -286,8 +286,8 @@ class FlaxElectraForQuestionAnswering:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraForSequenceClassification: class FlaxElectraForSequenceClassification:
...@@ -295,8 +295,8 @@ class FlaxElectraForSequenceClassification: ...@@ -295,8 +295,8 @@ class FlaxElectraForSequenceClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraForTokenClassification: class FlaxElectraForTokenClassification:
...@@ -304,8 +304,8 @@ class FlaxElectraForTokenClassification: ...@@ -304,8 +304,8 @@ class FlaxElectraForTokenClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraModel: class FlaxElectraModel:
...@@ -313,8 +313,8 @@ class FlaxElectraModel: ...@@ -313,8 +313,8 @@ class FlaxElectraModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxElectraPreTrainedModel: class FlaxElectraPreTrainedModel:
...@@ -322,8 +322,8 @@ class FlaxElectraPreTrainedModel: ...@@ -322,8 +322,8 @@ class FlaxElectraPreTrainedModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxGPT2LMHeadModel: class FlaxGPT2LMHeadModel:
...@@ -331,8 +331,8 @@ class FlaxGPT2LMHeadModel: ...@@ -331,8 +331,8 @@ class FlaxGPT2LMHeadModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxGPT2Model: class FlaxGPT2Model:
...@@ -340,8 +340,8 @@ class FlaxGPT2Model: ...@@ -340,8 +340,8 @@ class FlaxGPT2Model:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaForMaskedLM: class FlaxRobertaForMaskedLM:
...@@ -349,8 +349,8 @@ class FlaxRobertaForMaskedLM: ...@@ -349,8 +349,8 @@ class FlaxRobertaForMaskedLM:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaForMultipleChoice: class FlaxRobertaForMultipleChoice:
...@@ -358,8 +358,8 @@ class FlaxRobertaForMultipleChoice: ...@@ -358,8 +358,8 @@ class FlaxRobertaForMultipleChoice:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaForQuestionAnswering: class FlaxRobertaForQuestionAnswering:
...@@ -367,8 +367,8 @@ class FlaxRobertaForQuestionAnswering: ...@@ -367,8 +367,8 @@ class FlaxRobertaForQuestionAnswering:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaForSequenceClassification: class FlaxRobertaForSequenceClassification:
...@@ -376,8 +376,8 @@ class FlaxRobertaForSequenceClassification: ...@@ -376,8 +376,8 @@ class FlaxRobertaForSequenceClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaForTokenClassification: class FlaxRobertaForTokenClassification:
...@@ -385,8 +385,8 @@ class FlaxRobertaForTokenClassification: ...@@ -385,8 +385,8 @@ class FlaxRobertaForTokenClassification:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaModel: class FlaxRobertaModel:
...@@ -394,8 +394,8 @@ class FlaxRobertaModel: ...@@ -394,8 +394,8 @@ class FlaxRobertaModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxRobertaPreTrainedModel: class FlaxRobertaPreTrainedModel:
...@@ -403,8 +403,8 @@ class FlaxRobertaPreTrainedModel: ...@@ -403,8 +403,8 @@ class FlaxRobertaPreTrainedModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
class FlaxViTForImageClassification: class FlaxViTForImageClassification:
...@@ -417,5 +417,5 @@ class FlaxViTModel: ...@@ -417,5 +417,5 @@ class FlaxViTModel:
requires_backends(self, ["flax"]) requires_backends(self, ["flax"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["flax"]) requires_backends(cls, ["flax"])
src/transformers/utils/dummy_pt_objects.py
View file @ 3b1f5caf
...@@ -22,8 +22,8 @@ class DataCollatorForLanguageModeling: ...@@ -22,8 +22,8 @@ class DataCollatorForLanguageModeling:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DataCollatorForPermutationLanguageModeling: class DataCollatorForPermutationLanguageModeling:
...@@ -31,8 +31,8 @@ class DataCollatorForPermutationLanguageModeling: ...@@ -31,8 +31,8 @@ class DataCollatorForPermutationLanguageModeling:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DataCollatorForSeq2Seq: class DataCollatorForSeq2Seq:
...@@ -50,8 +50,8 @@ class DataCollatorForTokenClassification: ...@@ -50,8 +50,8 @@ class DataCollatorForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DataCollatorForWholeWordMask: class DataCollatorForWholeWordMask:
...@@ -232,8 +232,8 @@ class PreTrainedModel: ...@@ -232,8 +232,8 @@ class PreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def apply_chunking_to_forward(*args, **kwargs): def apply_chunking_to_forward(*args, **kwargs):
...@@ -252,8 +252,8 @@ class AlbertForMaskedLM: ...@@ -252,8 +252,8 @@ class AlbertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertForMultipleChoice: class AlbertForMultipleChoice:
...@@ -261,8 +261,8 @@ class AlbertForMultipleChoice: ...@@ -261,8 +261,8 @@ class AlbertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertForPreTraining: class AlbertForPreTraining:
...@@ -275,8 +275,8 @@ class AlbertForQuestionAnswering: ...@@ -275,8 +275,8 @@ class AlbertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertForSequenceClassification: class AlbertForSequenceClassification:
...@@ -284,8 +284,8 @@ class AlbertForSequenceClassification: ...@@ -284,8 +284,8 @@ class AlbertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertForTokenClassification: class AlbertForTokenClassification:
...@@ -293,8 +293,8 @@ class AlbertForTokenClassification: ...@@ -293,8 +293,8 @@ class AlbertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertModel: class AlbertModel:
...@@ -302,8 +302,8 @@ class AlbertModel: ...@@ -302,8 +302,8 @@ class AlbertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AlbertPreTrainedModel: class AlbertPreTrainedModel:
...@@ -311,8 +311,8 @@ class AlbertPreTrainedModel: ...@@ -311,8 +311,8 @@ class AlbertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_albert(*args, **kwargs): def load_tf_weights_in_albert(*args, **kwargs):
...@@ -366,8 +366,8 @@ class AutoModel: ...@@ -366,8 +366,8 @@ class AutoModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForCausalLM: class AutoModelForCausalLM:
...@@ -375,8 +375,8 @@ class AutoModelForCausalLM: ...@@ -375,8 +375,8 @@ class AutoModelForCausalLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForImageClassification: class AutoModelForImageClassification:
...@@ -384,8 +384,8 @@ class AutoModelForImageClassification: ...@@ -384,8 +384,8 @@ class AutoModelForImageClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForMaskedLM: class AutoModelForMaskedLM:
...@@ -393,8 +393,8 @@ class AutoModelForMaskedLM: ...@@ -393,8 +393,8 @@ class AutoModelForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForMultipleChoice: class AutoModelForMultipleChoice:
...@@ -402,8 +402,8 @@ class AutoModelForMultipleChoice: ...@@ -402,8 +402,8 @@ class AutoModelForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForNextSentencePrediction: class AutoModelForNextSentencePrediction:
...@@ -411,8 +411,8 @@ class AutoModelForNextSentencePrediction: ...@@ -411,8 +411,8 @@ class AutoModelForNextSentencePrediction:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForPreTraining: class AutoModelForPreTraining:
...@@ -420,8 +420,8 @@ class AutoModelForPreTraining: ...@@ -420,8 +420,8 @@ class AutoModelForPreTraining:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForQuestionAnswering: class AutoModelForQuestionAnswering:
...@@ -429,8 +429,8 @@ class AutoModelForQuestionAnswering: ...@@ -429,8 +429,8 @@ class AutoModelForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForSeq2SeqLM: class AutoModelForSeq2SeqLM:
...@@ -438,8 +438,8 @@ class AutoModelForSeq2SeqLM: ...@@ -438,8 +438,8 @@ class AutoModelForSeq2SeqLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForSequenceClassification: class AutoModelForSequenceClassification:
...@@ -447,8 +447,8 @@ class AutoModelForSequenceClassification: ...@@ -447,8 +447,8 @@ class AutoModelForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForTableQuestionAnswering: class AutoModelForTableQuestionAnswering:
...@@ -456,8 +456,8 @@ class AutoModelForTableQuestionAnswering: ...@@ -456,8 +456,8 @@ class AutoModelForTableQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelForTokenClassification: class AutoModelForTokenClassification:
...@@ -465,8 +465,8 @@ class AutoModelForTokenClassification: ...@@ -465,8 +465,8 @@ class AutoModelForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class AutoModelWithLMHead: class AutoModelWithLMHead:
...@@ -474,8 +474,8 @@ class AutoModelWithLMHead: ...@@ -474,8 +474,8 @@ class AutoModelWithLMHead:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
BART_PRETRAINED_MODEL_ARCHIVE_LIST = None BART_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -485,14 +485,18 @@ class BartForCausalLM: ...@@ -485,14 +485,18 @@ class BartForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class BartForConditionalGeneration: class BartForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BartForQuestionAnswering: class BartForQuestionAnswering:
...@@ -500,8 +504,8 @@ class BartForQuestionAnswering: ...@@ -500,8 +504,8 @@ class BartForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BartForSequenceClassification: class BartForSequenceClassification:
...@@ -509,8 +513,8 @@ class BartForSequenceClassification: ...@@ -509,8 +513,8 @@ class BartForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BartModel: class BartModel:
...@@ -518,8 +522,8 @@ class BartModel: ...@@ -518,8 +522,8 @@ class BartModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BartPretrainedModel: class BartPretrainedModel:
...@@ -527,8 +531,8 @@ class BartPretrainedModel: ...@@ -527,8 +531,8 @@ class BartPretrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class PretrainedBartModel: class PretrainedBartModel:
...@@ -536,8 +540,8 @@ class PretrainedBartModel: ...@@ -536,8 +540,8 @@ class PretrainedBartModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -548,8 +552,8 @@ class BertForMaskedLM: ...@@ -548,8 +552,8 @@ class BertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertForMultipleChoice: class BertForMultipleChoice:
...@@ -557,8 +561,8 @@ class BertForMultipleChoice: ...@@ -557,8 +561,8 @@ class BertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertForNextSentencePrediction: class BertForNextSentencePrediction:
...@@ -576,8 +580,8 @@ class BertForQuestionAnswering: ...@@ -576,8 +580,8 @@ class BertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertForSequenceClassification: class BertForSequenceClassification:
...@@ -585,8 +589,8 @@ class BertForSequenceClassification: ...@@ -585,8 +589,8 @@ class BertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertForTokenClassification: class BertForTokenClassification:
...@@ -594,8 +598,8 @@ class BertForTokenClassification: ...@@ -594,8 +598,8 @@ class BertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertLayer: class BertLayer:
...@@ -608,8 +612,8 @@ class BertLMHeadModel: ...@@ -608,8 +612,8 @@ class BertLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertModel: class BertModel:
...@@ -617,8 +621,8 @@ class BertModel: ...@@ -617,8 +621,8 @@ class BertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BertPreTrainedModel: class BertPreTrainedModel:
...@@ -626,8 +630,8 @@ class BertPreTrainedModel: ...@@ -626,8 +630,8 @@ class BertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_bert(*args, **kwargs): def load_tf_weights_in_bert(*args, **kwargs):
...@@ -655,14 +659,18 @@ class BigBirdForCausalLM: ...@@ -655,14 +659,18 @@ class BigBirdForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class BigBirdForMaskedLM: class BigBirdForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdForMultipleChoice: class BigBirdForMultipleChoice:
...@@ -670,8 +678,8 @@ class BigBirdForMultipleChoice: ...@@ -670,8 +678,8 @@ class BigBirdForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdForPreTraining: class BigBirdForPreTraining:
...@@ -684,8 +692,8 @@ class BigBirdForQuestionAnswering: ...@@ -684,8 +692,8 @@ class BigBirdForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdForSequenceClassification: class BigBirdForSequenceClassification:
...@@ -693,8 +701,8 @@ class BigBirdForSequenceClassification: ...@@ -693,8 +701,8 @@ class BigBirdForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdForTokenClassification: class BigBirdForTokenClassification:
...@@ -702,8 +710,8 @@ class BigBirdForTokenClassification: ...@@ -702,8 +710,8 @@ class BigBirdForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdLayer: class BigBirdLayer:
...@@ -716,8 +724,8 @@ class BigBirdModel: ...@@ -716,8 +724,8 @@ class BigBirdModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdPreTrainedModel: class BigBirdPreTrainedModel:
...@@ -725,8 +733,8 @@ class BigBirdPreTrainedModel: ...@@ -725,8 +733,8 @@ class BigBirdPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_big_bird(*args, **kwargs): def load_tf_weights_in_big_bird(*args, **kwargs):
...@@ -740,14 +748,18 @@ class BigBirdPegasusForCausalLM: ...@@ -740,14 +748,18 @@ class BigBirdPegasusForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class BigBirdPegasusForConditionalGeneration: class BigBirdPegasusForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdPegasusForQuestionAnswering: class BigBirdPegasusForQuestionAnswering:
...@@ -755,8 +767,8 @@ class BigBirdPegasusForQuestionAnswering: ...@@ -755,8 +767,8 @@ class BigBirdPegasusForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdPegasusForSequenceClassification: class BigBirdPegasusForSequenceClassification:
...@@ -764,8 +776,8 @@ class BigBirdPegasusForSequenceClassification: ...@@ -764,8 +776,8 @@ class BigBirdPegasusForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BigBirdPegasusModel: class BigBirdPegasusModel:
...@@ -773,8 +785,8 @@ class BigBirdPegasusModel: ...@@ -773,8 +785,8 @@ class BigBirdPegasusModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST = None BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -784,14 +796,18 @@ class BlenderbotForCausalLM: ...@@ -784,14 +796,18 @@ class BlenderbotForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class BlenderbotForConditionalGeneration: class BlenderbotForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BlenderbotModel: class BlenderbotModel:
...@@ -799,8 +815,8 @@ class BlenderbotModel: ...@@ -799,8 +815,8 @@ class BlenderbotModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST = None BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -810,14 +826,18 @@ class BlenderbotSmallForCausalLM: ...@@ -810,14 +826,18 @@ class BlenderbotSmallForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class BlenderbotSmallForConditionalGeneration: class BlenderbotSmallForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class BlenderbotSmallModel: class BlenderbotSmallModel:
...@@ -825,8 +845,8 @@ class BlenderbotSmallModel: ...@@ -825,8 +845,8 @@ class BlenderbotSmallModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -836,14 +856,18 @@ class CamembertForCausalLM: ...@@ -836,14 +856,18 @@ class CamembertForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class CamembertForMaskedLM: class CamembertForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CamembertForMultipleChoice: class CamembertForMultipleChoice:
...@@ -851,8 +875,8 @@ class CamembertForMultipleChoice: ...@@ -851,8 +875,8 @@ class CamembertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CamembertForQuestionAnswering: class CamembertForQuestionAnswering:
...@@ -860,8 +884,8 @@ class CamembertForQuestionAnswering: ...@@ -860,8 +884,8 @@ class CamembertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CamembertForSequenceClassification: class CamembertForSequenceClassification:
...@@ -869,8 +893,8 @@ class CamembertForSequenceClassification: ...@@ -869,8 +893,8 @@ class CamembertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CamembertForTokenClassification: class CamembertForTokenClassification:
...@@ -878,8 +902,8 @@ class CamembertForTokenClassification: ...@@ -878,8 +902,8 @@ class CamembertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CamembertModel: class CamembertModel:
...@@ -887,8 +911,8 @@ class CamembertModel: ...@@ -887,8 +911,8 @@ class CamembertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
CLIP_PRETRAINED_MODEL_ARCHIVE_LIST = None CLIP_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -899,8 +923,8 @@ class CLIPModel: ...@@ -899,8 +923,8 @@ class CLIPModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CLIPPreTrainedModel: class CLIPPreTrainedModel:
...@@ -908,8 +932,8 @@ class CLIPPreTrainedModel: ...@@ -908,8 +932,8 @@ class CLIPPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CLIPTextModel: class CLIPTextModel:
...@@ -917,8 +941,8 @@ class CLIPTextModel: ...@@ -917,8 +941,8 @@ class CLIPTextModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CLIPVisionModel: class CLIPVisionModel:
...@@ -926,8 +950,8 @@ class CLIPVisionModel: ...@@ -926,8 +950,8 @@ class CLIPVisionModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -938,8 +962,8 @@ class ConvBertForMaskedLM: ...@@ -938,8 +962,8 @@ class ConvBertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertForMultipleChoice: class ConvBertForMultipleChoice:
...@@ -947,8 +971,8 @@ class ConvBertForMultipleChoice: ...@@ -947,8 +971,8 @@ class ConvBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertForQuestionAnswering: class ConvBertForQuestionAnswering:
...@@ -956,8 +980,8 @@ class ConvBertForQuestionAnswering: ...@@ -956,8 +980,8 @@ class ConvBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertForSequenceClassification: class ConvBertForSequenceClassification:
...@@ -965,8 +989,8 @@ class ConvBertForSequenceClassification: ...@@ -965,8 +989,8 @@ class ConvBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertForTokenClassification: class ConvBertForTokenClassification:
...@@ -974,8 +998,8 @@ class ConvBertForTokenClassification: ...@@ -974,8 +998,8 @@ class ConvBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertLayer: class ConvBertLayer:
...@@ -988,8 +1012,8 @@ class ConvBertModel: ...@@ -988,8 +1012,8 @@ class ConvBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ConvBertPreTrainedModel: class ConvBertPreTrainedModel:
...@@ -997,8 +1021,8 @@ class ConvBertPreTrainedModel: ...@@ -997,8 +1021,8 @@ class ConvBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_convbert(*args, **kwargs): def load_tf_weights_in_convbert(*args, **kwargs):
...@@ -1013,8 +1037,8 @@ class CTRLForSequenceClassification: ...@@ -1013,8 +1037,8 @@ class CTRLForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CTRLLMHeadModel: class CTRLLMHeadModel:
...@@ -1022,8 +1046,8 @@ class CTRLLMHeadModel: ...@@ -1022,8 +1046,8 @@ class CTRLLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CTRLModel: class CTRLModel:
...@@ -1031,8 +1055,8 @@ class CTRLModel: ...@@ -1031,8 +1055,8 @@ class CTRLModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class CTRLPreTrainedModel: class CTRLPreTrainedModel:
...@@ -1040,8 +1064,8 @@ class CTRLPreTrainedModel: ...@@ -1040,8 +1064,8 @@ class CTRLPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1052,8 +1076,8 @@ class DebertaForMaskedLM: ...@@ -1052,8 +1076,8 @@ class DebertaForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaForQuestionAnswering: class DebertaForQuestionAnswering:
...@@ -1061,8 +1085,8 @@ class DebertaForQuestionAnswering: ...@@ -1061,8 +1085,8 @@ class DebertaForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaForSequenceClassification: class DebertaForSequenceClassification:
...@@ -1070,8 +1094,8 @@ class DebertaForSequenceClassification: ...@@ -1070,8 +1094,8 @@ class DebertaForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaForTokenClassification: class DebertaForTokenClassification:
...@@ -1079,8 +1103,8 @@ class DebertaForTokenClassification: ...@@ -1079,8 +1103,8 @@ class DebertaForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaModel: class DebertaModel:
...@@ -1088,8 +1112,8 @@ class DebertaModel: ...@@ -1088,8 +1112,8 @@ class DebertaModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaPreTrainedModel: class DebertaPreTrainedModel:
...@@ -1097,8 +1121,8 @@ class DebertaPreTrainedModel: ...@@ -1097,8 +1121,8 @@ class DebertaPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1109,8 +1133,8 @@ class DebertaV2ForMaskedLM: ...@@ -1109,8 +1133,8 @@ class DebertaV2ForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaV2ForQuestionAnswering: class DebertaV2ForQuestionAnswering:
...@@ -1118,8 +1142,8 @@ class DebertaV2ForQuestionAnswering: ...@@ -1118,8 +1142,8 @@ class DebertaV2ForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaV2ForSequenceClassification: class DebertaV2ForSequenceClassification:
...@@ -1127,8 +1151,8 @@ class DebertaV2ForSequenceClassification: ...@@ -1127,8 +1151,8 @@ class DebertaV2ForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaV2ForTokenClassification: class DebertaV2ForTokenClassification:
...@@ -1136,8 +1160,8 @@ class DebertaV2ForTokenClassification: ...@@ -1136,8 +1160,8 @@ class DebertaV2ForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaV2Model: class DebertaV2Model:
...@@ -1145,8 +1169,8 @@ class DebertaV2Model: ...@@ -1145,8 +1169,8 @@ class DebertaV2Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DebertaV2PreTrainedModel: class DebertaV2PreTrainedModel:
...@@ -1154,8 +1178,8 @@ class DebertaV2PreTrainedModel: ...@@ -1154,8 +1178,8 @@ class DebertaV2PreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
DEIT_PRETRAINED_MODEL_ARCHIVE_LIST = None DEIT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1176,8 +1200,8 @@ class DeiTModel: ...@@ -1176,8 +1200,8 @@ class DeiTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DeiTPreTrainedModel: class DeiTPreTrainedModel:
...@@ -1185,8 +1209,8 @@ class DeiTPreTrainedModel: ...@@ -1185,8 +1209,8 @@ class DeiTPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1197,8 +1221,8 @@ class DistilBertForMaskedLM: ...@@ -1197,8 +1221,8 @@ class DistilBertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertForMultipleChoice: class DistilBertForMultipleChoice:
...@@ -1206,8 +1230,8 @@ class DistilBertForMultipleChoice: ...@@ -1206,8 +1230,8 @@ class DistilBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertForQuestionAnswering: class DistilBertForQuestionAnswering:
...@@ -1215,8 +1239,8 @@ class DistilBertForQuestionAnswering: ...@@ -1215,8 +1239,8 @@ class DistilBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertForSequenceClassification: class DistilBertForSequenceClassification:
...@@ -1224,8 +1248,8 @@ class DistilBertForSequenceClassification: ...@@ -1224,8 +1248,8 @@ class DistilBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertForTokenClassification: class DistilBertForTokenClassification:
...@@ -1233,8 +1257,8 @@ class DistilBertForTokenClassification: ...@@ -1233,8 +1257,8 @@ class DistilBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertModel: class DistilBertModel:
...@@ -1242,8 +1266,8 @@ class DistilBertModel: ...@@ -1242,8 +1266,8 @@ class DistilBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class DistilBertPreTrainedModel: class DistilBertPreTrainedModel:
...@@ -1251,8 +1275,8 @@ class DistilBertPreTrainedModel: ...@@ -1251,8 +1275,8 @@ class DistilBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1302,8 +1326,8 @@ class ElectraForMaskedLM: ...@@ -1302,8 +1326,8 @@ class ElectraForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraForMultipleChoice: class ElectraForMultipleChoice:
...@@ -1311,8 +1335,8 @@ class ElectraForMultipleChoice: ...@@ -1311,8 +1335,8 @@ class ElectraForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraForPreTraining: class ElectraForPreTraining:
...@@ -1325,8 +1349,8 @@ class ElectraForQuestionAnswering: ...@@ -1325,8 +1349,8 @@ class ElectraForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraForSequenceClassification: class ElectraForSequenceClassification:
...@@ -1334,8 +1358,8 @@ class ElectraForSequenceClassification: ...@@ -1334,8 +1358,8 @@ class ElectraForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraForTokenClassification: class ElectraForTokenClassification:
...@@ -1343,8 +1367,8 @@ class ElectraForTokenClassification: ...@@ -1343,8 +1367,8 @@ class ElectraForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraModel: class ElectraModel:
...@@ -1352,8 +1376,8 @@ class ElectraModel: ...@@ -1352,8 +1376,8 @@ class ElectraModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ElectraPreTrainedModel: class ElectraPreTrainedModel:
...@@ -1361,8 +1385,8 @@ class ElectraPreTrainedModel: ...@@ -1361,8 +1385,8 @@ class ElectraPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_electra(*args, **kwargs): def load_tf_weights_in_electra(*args, **kwargs):
...@@ -1374,8 +1398,8 @@ class EncoderDecoderModel: ...@@ -1374,8 +1398,8 @@ class EncoderDecoderModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1386,8 +1410,8 @@ class FlaubertForMultipleChoice: ...@@ -1386,8 +1410,8 @@ class FlaubertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertForQuestionAnswering: class FlaubertForQuestionAnswering:
...@@ -1395,8 +1419,8 @@ class FlaubertForQuestionAnswering: ...@@ -1395,8 +1419,8 @@ class FlaubertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertForQuestionAnsweringSimple: class FlaubertForQuestionAnsweringSimple:
...@@ -1404,8 +1428,8 @@ class FlaubertForQuestionAnsweringSimple: ...@@ -1404,8 +1428,8 @@ class FlaubertForQuestionAnsweringSimple:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertForSequenceClassification: class FlaubertForSequenceClassification:
...@@ -1413,8 +1437,8 @@ class FlaubertForSequenceClassification: ...@@ -1413,8 +1437,8 @@ class FlaubertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertForTokenClassification: class FlaubertForTokenClassification:
...@@ -1422,8 +1446,8 @@ class FlaubertForTokenClassification: ...@@ -1422,8 +1446,8 @@ class FlaubertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertModel: class FlaubertModel:
...@@ -1431,8 +1455,8 @@ class FlaubertModel: ...@@ -1431,8 +1455,8 @@ class FlaubertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FlaubertWithLMHeadModel: class FlaubertWithLMHeadModel:
...@@ -1440,8 +1464,8 @@ class FlaubertWithLMHeadModel: ...@@ -1440,8 +1464,8 @@ class FlaubertWithLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FSMTForConditionalGeneration: class FSMTForConditionalGeneration:
...@@ -1449,8 +1473,8 @@ class FSMTForConditionalGeneration: ...@@ -1449,8 +1473,8 @@ class FSMTForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FSMTModel: class FSMTModel:
...@@ -1458,8 +1482,8 @@ class FSMTModel: ...@@ -1458,8 +1482,8 @@ class FSMTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class PretrainedFSMTModel: class PretrainedFSMTModel:
...@@ -1467,8 +1491,8 @@ class PretrainedFSMTModel: ...@@ -1467,8 +1491,8 @@ class PretrainedFSMTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1479,8 +1503,8 @@ class FunnelBaseModel: ...@@ -1479,8 +1503,8 @@ class FunnelBaseModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelForMaskedLM: class FunnelForMaskedLM:
...@@ -1488,8 +1512,8 @@ class FunnelForMaskedLM: ...@@ -1488,8 +1512,8 @@ class FunnelForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelForMultipleChoice: class FunnelForMultipleChoice:
...@@ -1497,8 +1521,8 @@ class FunnelForMultipleChoice: ...@@ -1497,8 +1521,8 @@ class FunnelForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelForPreTraining: class FunnelForPreTraining:
...@@ -1511,8 +1535,8 @@ class FunnelForQuestionAnswering: ...@@ -1511,8 +1535,8 @@ class FunnelForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelForSequenceClassification: class FunnelForSequenceClassification:
...@@ -1520,8 +1544,8 @@ class FunnelForSequenceClassification: ...@@ -1520,8 +1544,8 @@ class FunnelForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelForTokenClassification: class FunnelForTokenClassification:
...@@ -1529,8 +1553,8 @@ class FunnelForTokenClassification: ...@@ -1529,8 +1553,8 @@ class FunnelForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class FunnelModel: class FunnelModel:
...@@ -1538,8 +1562,8 @@ class FunnelModel: ...@@ -1538,8 +1562,8 @@ class FunnelModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_funnel(*args, **kwargs): def load_tf_weights_in_funnel(*args, **kwargs):
...@@ -1554,8 +1578,8 @@ class GPT2DoubleHeadsModel: ...@@ -1554,8 +1578,8 @@ class GPT2DoubleHeadsModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPT2ForSequenceClassification: class GPT2ForSequenceClassification:
...@@ -1563,8 +1587,8 @@ class GPT2ForSequenceClassification: ...@@ -1563,8 +1587,8 @@ class GPT2ForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPT2LMHeadModel: class GPT2LMHeadModel:
...@@ -1572,8 +1596,8 @@ class GPT2LMHeadModel: ...@@ -1572,8 +1596,8 @@ class GPT2LMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPT2Model: class GPT2Model:
...@@ -1581,8 +1605,8 @@ class GPT2Model: ...@@ -1581,8 +1605,8 @@ class GPT2Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPT2PreTrainedModel: class GPT2PreTrainedModel:
...@@ -1590,8 +1614,8 @@ class GPT2PreTrainedModel: ...@@ -1590,8 +1614,8 @@ class GPT2PreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_gpt2(*args, **kwargs): def load_tf_weights_in_gpt2(*args, **kwargs):
...@@ -1605,14 +1629,18 @@ class GPTNeoForCausalLM: ...@@ -1605,14 +1629,18 @@ class GPTNeoForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class GPTNeoForSequenceClassification: class GPTNeoForSequenceClassification:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPTNeoModel: class GPTNeoModel:
...@@ -1620,8 +1648,8 @@ class GPTNeoModel: ...@@ -1620,8 +1648,8 @@ class GPTNeoModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class GPTNeoPreTrainedModel: class GPTNeoPreTrainedModel:
...@@ -1629,8 +1657,8 @@ class GPTNeoPreTrainedModel: ...@@ -1629,8 +1657,8 @@ class GPTNeoPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_gpt_neo(*args, **kwargs): def load_tf_weights_in_gpt_neo(*args, **kwargs):
...@@ -1645,8 +1673,8 @@ class IBertForMaskedLM: ...@@ -1645,8 +1673,8 @@ class IBertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertForMultipleChoice: class IBertForMultipleChoice:
...@@ -1654,8 +1682,8 @@ class IBertForMultipleChoice: ...@@ -1654,8 +1682,8 @@ class IBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertForQuestionAnswering: class IBertForQuestionAnswering:
...@@ -1663,8 +1691,8 @@ class IBertForQuestionAnswering: ...@@ -1663,8 +1691,8 @@ class IBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertForSequenceClassification: class IBertForSequenceClassification:
...@@ -1672,8 +1700,8 @@ class IBertForSequenceClassification: ...@@ -1672,8 +1700,8 @@ class IBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertForTokenClassification: class IBertForTokenClassification:
...@@ -1681,8 +1709,8 @@ class IBertForTokenClassification: ...@@ -1681,8 +1709,8 @@ class IBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertModel: class IBertModel:
...@@ -1690,8 +1718,8 @@ class IBertModel: ...@@ -1690,8 +1718,8 @@ class IBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class IBertPreTrainedModel: class IBertPreTrainedModel:
...@@ -1699,8 +1727,8 @@ class IBertPreTrainedModel: ...@@ -1699,8 +1727,8 @@ class IBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1711,8 +1739,8 @@ class LayoutLMForMaskedLM: ...@@ -1711,8 +1739,8 @@ class LayoutLMForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LayoutLMForSequenceClassification: class LayoutLMForSequenceClassification:
...@@ -1720,8 +1748,8 @@ class LayoutLMForSequenceClassification: ...@@ -1720,8 +1748,8 @@ class LayoutLMForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LayoutLMForTokenClassification: class LayoutLMForTokenClassification:
...@@ -1729,8 +1757,8 @@ class LayoutLMForTokenClassification: ...@@ -1729,8 +1757,8 @@ class LayoutLMForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LayoutLMModel: class LayoutLMModel:
...@@ -1738,8 +1766,8 @@ class LayoutLMModel: ...@@ -1738,8 +1766,8 @@ class LayoutLMModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
LED_PRETRAINED_MODEL_ARCHIVE_LIST = None LED_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1750,8 +1778,8 @@ class LEDForConditionalGeneration: ...@@ -1750,8 +1778,8 @@ class LEDForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LEDForQuestionAnswering: class LEDForQuestionAnswering:
...@@ -1759,8 +1787,8 @@ class LEDForQuestionAnswering: ...@@ -1759,8 +1787,8 @@ class LEDForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LEDForSequenceClassification: class LEDForSequenceClassification:
...@@ -1768,8 +1796,8 @@ class LEDForSequenceClassification: ...@@ -1768,8 +1796,8 @@ class LEDForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LEDModel: class LEDModel:
...@@ -1777,8 +1805,8 @@ class LEDModel: ...@@ -1777,8 +1805,8 @@ class LEDModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1789,8 +1817,8 @@ class LongformerForMaskedLM: ...@@ -1789,8 +1817,8 @@ class LongformerForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerForMultipleChoice: class LongformerForMultipleChoice:
...@@ -1798,8 +1826,8 @@ class LongformerForMultipleChoice: ...@@ -1798,8 +1826,8 @@ class LongformerForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerForQuestionAnswering: class LongformerForQuestionAnswering:
...@@ -1807,8 +1835,8 @@ class LongformerForQuestionAnswering: ...@@ -1807,8 +1835,8 @@ class LongformerForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerForSequenceClassification: class LongformerForSequenceClassification:
...@@ -1816,8 +1844,8 @@ class LongformerForSequenceClassification: ...@@ -1816,8 +1844,8 @@ class LongformerForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerForTokenClassification: class LongformerForTokenClassification:
...@@ -1825,8 +1853,8 @@ class LongformerForTokenClassification: ...@@ -1825,8 +1853,8 @@ class LongformerForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerModel: class LongformerModel:
...@@ -1834,8 +1862,8 @@ class LongformerModel: ...@@ -1834,8 +1862,8 @@ class LongformerModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LongformerSelfAttention: class LongformerSelfAttention:
...@@ -1866,8 +1894,8 @@ class LukeModel: ...@@ -1866,8 +1894,8 @@ class LukeModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LukePreTrainedModel: class LukePreTrainedModel:
...@@ -1875,8 +1903,8 @@ class LukePreTrainedModel: ...@@ -1875,8 +1903,8 @@ class LukePreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LxmertEncoder: class LxmertEncoder:
...@@ -1894,8 +1922,8 @@ class LxmertForQuestionAnswering: ...@@ -1894,8 +1922,8 @@ class LxmertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LxmertModel: class LxmertModel:
...@@ -1903,8 +1931,8 @@ class LxmertModel: ...@@ -1903,8 +1931,8 @@ class LxmertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LxmertPreTrainedModel: class LxmertPreTrainedModel:
...@@ -1912,8 +1940,8 @@ class LxmertPreTrainedModel: ...@@ -1912,8 +1940,8 @@ class LxmertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class LxmertVisualFeatureEncoder: class LxmertVisualFeatureEncoder:
...@@ -1934,8 +1962,8 @@ class M2M100ForConditionalGeneration: ...@@ -1934,8 +1962,8 @@ class M2M100ForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class M2M100Model: class M2M100Model:
...@@ -1943,22 +1971,26 @@ class M2M100Model: ...@@ -1943,22 +1971,26 @@ class M2M100Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MarianForCausalLM: class MarianForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class MarianModel: class MarianModel:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MarianMTModel: class MarianMTModel:
...@@ -1966,22 +1998,26 @@ class MarianMTModel: ...@@ -1966,22 +1998,26 @@ class MarianMTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MBartForCausalLM: class MBartForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class MBartForConditionalGeneration: class MBartForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MBartForQuestionAnswering: class MBartForQuestionAnswering:
...@@ -1989,8 +2025,8 @@ class MBartForQuestionAnswering: ...@@ -1989,8 +2025,8 @@ class MBartForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MBartForSequenceClassification: class MBartForSequenceClassification:
...@@ -1998,8 +2034,8 @@ class MBartForSequenceClassification: ...@@ -1998,8 +2034,8 @@ class MBartForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MBartModel: class MBartModel:
...@@ -2007,8 +2043,8 @@ class MBartModel: ...@@ -2007,8 +2043,8 @@ class MBartModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2018,14 +2054,18 @@ class MegatronBertForCausalLM: ...@@ -2018,14 +2054,18 @@ class MegatronBertForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class MegatronBertForMaskedLM: class MegatronBertForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MegatronBertForMultipleChoice: class MegatronBertForMultipleChoice:
...@@ -2033,8 +2073,8 @@ class MegatronBertForMultipleChoice: ...@@ -2033,8 +2073,8 @@ class MegatronBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MegatronBertForNextSentencePrediction: class MegatronBertForNextSentencePrediction:
...@@ -2052,8 +2092,8 @@ class MegatronBertForQuestionAnswering: ...@@ -2052,8 +2092,8 @@ class MegatronBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MegatronBertForSequenceClassification: class MegatronBertForSequenceClassification:
...@@ -2061,8 +2101,8 @@ class MegatronBertForSequenceClassification: ...@@ -2061,8 +2101,8 @@ class MegatronBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MegatronBertForTokenClassification: class MegatronBertForTokenClassification:
...@@ -2070,8 +2110,8 @@ class MegatronBertForTokenClassification: ...@@ -2070,8 +2110,8 @@ class MegatronBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MegatronBertModel: class MegatronBertModel:
...@@ -2079,8 +2119,8 @@ class MegatronBertModel: ...@@ -2079,8 +2119,8 @@ class MegatronBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MMBTForClassification: class MMBTForClassification:
...@@ -2093,8 +2133,8 @@ class MMBTModel: ...@@ -2093,8 +2133,8 @@ class MMBTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ModalEmbeddings: class ModalEmbeddings:
...@@ -2110,8 +2150,8 @@ class MobileBertForMaskedLM: ...@@ -2110,8 +2150,8 @@ class MobileBertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertForMultipleChoice: class MobileBertForMultipleChoice:
...@@ -2119,8 +2159,8 @@ class MobileBertForMultipleChoice: ...@@ -2119,8 +2159,8 @@ class MobileBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertForNextSentencePrediction: class MobileBertForNextSentencePrediction:
...@@ -2138,8 +2178,8 @@ class MobileBertForQuestionAnswering: ...@@ -2138,8 +2178,8 @@ class MobileBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertForSequenceClassification: class MobileBertForSequenceClassification:
...@@ -2147,8 +2187,8 @@ class MobileBertForSequenceClassification: ...@@ -2147,8 +2187,8 @@ class MobileBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertForTokenClassification: class MobileBertForTokenClassification:
...@@ -2156,8 +2196,8 @@ class MobileBertForTokenClassification: ...@@ -2156,8 +2196,8 @@ class MobileBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertLayer: class MobileBertLayer:
...@@ -2170,8 +2210,8 @@ class MobileBertModel: ...@@ -2170,8 +2210,8 @@ class MobileBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MobileBertPreTrainedModel: class MobileBertPreTrainedModel:
...@@ -2179,8 +2219,8 @@ class MobileBertPreTrainedModel: ...@@ -2179,8 +2219,8 @@ class MobileBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_mobilebert(*args, **kwargs): def load_tf_weights_in_mobilebert(*args, **kwargs):
...@@ -2195,8 +2235,8 @@ class MPNetForMaskedLM: ...@@ -2195,8 +2235,8 @@ class MPNetForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetForMultipleChoice: class MPNetForMultipleChoice:
...@@ -2204,8 +2244,8 @@ class MPNetForMultipleChoice: ...@@ -2204,8 +2244,8 @@ class MPNetForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetForQuestionAnswering: class MPNetForQuestionAnswering:
...@@ -2213,8 +2253,8 @@ class MPNetForQuestionAnswering: ...@@ -2213,8 +2253,8 @@ class MPNetForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetForSequenceClassification: class MPNetForSequenceClassification:
...@@ -2222,8 +2262,8 @@ class MPNetForSequenceClassification: ...@@ -2222,8 +2262,8 @@ class MPNetForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetForTokenClassification: class MPNetForTokenClassification:
...@@ -2231,8 +2271,8 @@ class MPNetForTokenClassification: ...@@ -2231,8 +2271,8 @@ class MPNetForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetLayer: class MPNetLayer:
...@@ -2245,8 +2285,8 @@ class MPNetModel: ...@@ -2245,8 +2285,8 @@ class MPNetModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MPNetPreTrainedModel: class MPNetPreTrainedModel:
...@@ -2254,8 +2294,8 @@ class MPNetPreTrainedModel: ...@@ -2254,8 +2294,8 @@ class MPNetPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MT5EncoderModel: class MT5EncoderModel:
...@@ -2263,8 +2303,8 @@ class MT5EncoderModel: ...@@ -2263,8 +2303,8 @@ class MT5EncoderModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MT5ForConditionalGeneration: class MT5ForConditionalGeneration:
...@@ -2272,8 +2312,8 @@ class MT5ForConditionalGeneration: ...@@ -2272,8 +2312,8 @@ class MT5ForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class MT5Model: class MT5Model:
...@@ -2281,8 +2321,8 @@ class MT5Model: ...@@ -2281,8 +2321,8 @@ class MT5Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2293,8 +2333,8 @@ class OpenAIGPTDoubleHeadsModel: ...@@ -2293,8 +2333,8 @@ class OpenAIGPTDoubleHeadsModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class OpenAIGPTForSequenceClassification: class OpenAIGPTForSequenceClassification:
...@@ -2302,8 +2342,8 @@ class OpenAIGPTForSequenceClassification: ...@@ -2302,8 +2342,8 @@ class OpenAIGPTForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class OpenAIGPTLMHeadModel: class OpenAIGPTLMHeadModel:
...@@ -2311,8 +2351,8 @@ class OpenAIGPTLMHeadModel: ...@@ -2311,8 +2351,8 @@ class OpenAIGPTLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class OpenAIGPTModel: class OpenAIGPTModel:
...@@ -2320,8 +2360,8 @@ class OpenAIGPTModel: ...@@ -2320,8 +2360,8 @@ class OpenAIGPTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class OpenAIGPTPreTrainedModel: class OpenAIGPTPreTrainedModel:
...@@ -2329,8 +2369,8 @@ class OpenAIGPTPreTrainedModel: ...@@ -2329,8 +2369,8 @@ class OpenAIGPTPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_openai_gpt(*args, **kwargs): def load_tf_weights_in_openai_gpt(*args, **kwargs):
...@@ -2341,14 +2381,18 @@ class PegasusForCausalLM: ...@@ -2341,14 +2381,18 @@ class PegasusForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class PegasusForConditionalGeneration: class PegasusForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class PegasusModel: class PegasusModel:
...@@ -2356,8 +2400,8 @@ class PegasusModel: ...@@ -2356,8 +2400,8 @@ class PegasusModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2377,14 +2421,18 @@ class ProphetNetForCausalLM: ...@@ -2377,14 +2421,18 @@ class ProphetNetForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class ProphetNetForConditionalGeneration: class ProphetNetForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ProphetNetModel: class ProphetNetModel:
...@@ -2392,8 +2440,8 @@ class ProphetNetModel: ...@@ -2392,8 +2440,8 @@ class ProphetNetModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ProphetNetPreTrainedModel: class ProphetNetPreTrainedModel:
...@@ -2401,8 +2449,8 @@ class ProphetNetPreTrainedModel: ...@@ -2401,8 +2449,8 @@ class ProphetNetPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RagModel: class RagModel:
...@@ -2410,8 +2458,8 @@ class RagModel: ...@@ -2410,8 +2458,8 @@ class RagModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RagSequenceForGeneration: class RagSequenceForGeneration:
...@@ -2437,8 +2485,8 @@ class ReformerForMaskedLM: ...@@ -2437,8 +2485,8 @@ class ReformerForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ReformerForQuestionAnswering: class ReformerForQuestionAnswering:
...@@ -2446,8 +2494,8 @@ class ReformerForQuestionAnswering: ...@@ -2446,8 +2494,8 @@ class ReformerForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ReformerForSequenceClassification: class ReformerForSequenceClassification:
...@@ -2455,8 +2503,8 @@ class ReformerForSequenceClassification: ...@@ -2455,8 +2503,8 @@ class ReformerForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ReformerLayer: class ReformerLayer:
...@@ -2469,8 +2517,8 @@ class ReformerModel: ...@@ -2469,8 +2517,8 @@ class ReformerModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ReformerModelWithLMHead: class ReformerModelWithLMHead:
...@@ -2478,8 +2526,8 @@ class ReformerModelWithLMHead: ...@@ -2478,8 +2526,8 @@ class ReformerModelWithLMHead:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2490,8 +2538,8 @@ class RetriBertModel: ...@@ -2490,8 +2538,8 @@ class RetriBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RetriBertPreTrainedModel: class RetriBertPreTrainedModel:
...@@ -2499,8 +2547,8 @@ class RetriBertPreTrainedModel: ...@@ -2499,8 +2547,8 @@ class RetriBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2510,14 +2558,18 @@ class RobertaForCausalLM: ...@@ -2510,14 +2558,18 @@ class RobertaForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class RobertaForMaskedLM: class RobertaForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RobertaForMultipleChoice: class RobertaForMultipleChoice:
...@@ -2525,8 +2577,8 @@ class RobertaForMultipleChoice: ...@@ -2525,8 +2577,8 @@ class RobertaForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RobertaForQuestionAnswering: class RobertaForQuestionAnswering:
...@@ -2534,8 +2586,8 @@ class RobertaForQuestionAnswering: ...@@ -2534,8 +2586,8 @@ class RobertaForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RobertaForSequenceClassification: class RobertaForSequenceClassification:
...@@ -2543,8 +2595,8 @@ class RobertaForSequenceClassification: ...@@ -2543,8 +2595,8 @@ class RobertaForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RobertaForTokenClassification: class RobertaForTokenClassification:
...@@ -2552,8 +2604,8 @@ class RobertaForTokenClassification: ...@@ -2552,8 +2604,8 @@ class RobertaForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RobertaModel: class RobertaModel:
...@@ -2561,8 +2613,8 @@ class RobertaModel: ...@@ -2561,8 +2613,8 @@ class RobertaModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2572,14 +2624,18 @@ class RoFormerForCausalLM: ...@@ -2572,14 +2624,18 @@ class RoFormerForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class RoFormerForMaskedLM: class RoFormerForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerForMultipleChoice: class RoFormerForMultipleChoice:
...@@ -2587,8 +2643,8 @@ class RoFormerForMultipleChoice: ...@@ -2587,8 +2643,8 @@ class RoFormerForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerForQuestionAnswering: class RoFormerForQuestionAnswering:
...@@ -2596,8 +2652,8 @@ class RoFormerForQuestionAnswering: ...@@ -2596,8 +2652,8 @@ class RoFormerForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerForSequenceClassification: class RoFormerForSequenceClassification:
...@@ -2605,8 +2661,8 @@ class RoFormerForSequenceClassification: ...@@ -2605,8 +2661,8 @@ class RoFormerForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerForTokenClassification: class RoFormerForTokenClassification:
...@@ -2614,8 +2670,8 @@ class RoFormerForTokenClassification: ...@@ -2614,8 +2670,8 @@ class RoFormerForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerLayer: class RoFormerLayer:
...@@ -2628,8 +2684,8 @@ class RoFormerModel: ...@@ -2628,8 +2684,8 @@ class RoFormerModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class RoFormerPreTrainedModel: class RoFormerPreTrainedModel:
...@@ -2637,8 +2693,8 @@ class RoFormerPreTrainedModel: ...@@ -2637,8 +2693,8 @@ class RoFormerPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_roformer(*args, **kwargs): def load_tf_weights_in_roformer(*args, **kwargs):
...@@ -2653,8 +2709,8 @@ class Speech2TextForConditionalGeneration: ...@@ -2653,8 +2709,8 @@ class Speech2TextForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class Speech2TextModel: class Speech2TextModel:
...@@ -2662,8 +2718,8 @@ class Speech2TextModel: ...@@ -2662,8 +2718,8 @@ class Speech2TextModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2674,8 +2730,8 @@ class SqueezeBertForMaskedLM: ...@@ -2674,8 +2730,8 @@ class SqueezeBertForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertForMultipleChoice: class SqueezeBertForMultipleChoice:
...@@ -2683,8 +2739,8 @@ class SqueezeBertForMultipleChoice: ...@@ -2683,8 +2739,8 @@ class SqueezeBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertForQuestionAnswering: class SqueezeBertForQuestionAnswering:
...@@ -2692,8 +2748,8 @@ class SqueezeBertForQuestionAnswering: ...@@ -2692,8 +2748,8 @@ class SqueezeBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertForSequenceClassification: class SqueezeBertForSequenceClassification:
...@@ -2701,8 +2757,8 @@ class SqueezeBertForSequenceClassification: ...@@ -2701,8 +2757,8 @@ class SqueezeBertForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertForTokenClassification: class SqueezeBertForTokenClassification:
...@@ -2710,8 +2766,8 @@ class SqueezeBertForTokenClassification: ...@@ -2710,8 +2766,8 @@ class SqueezeBertForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertModel: class SqueezeBertModel:
...@@ -2719,8 +2775,8 @@ class SqueezeBertModel: ...@@ -2719,8 +2775,8 @@ class SqueezeBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class SqueezeBertModule: class SqueezeBertModule:
...@@ -2733,8 +2789,8 @@ class SqueezeBertPreTrainedModel: ...@@ -2733,8 +2789,8 @@ class SqueezeBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
T5_PRETRAINED_MODEL_ARCHIVE_LIST = None T5_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2745,8 +2801,8 @@ class T5EncoderModel: ...@@ -2745,8 +2801,8 @@ class T5EncoderModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class T5ForConditionalGeneration: class T5ForConditionalGeneration:
...@@ -2754,8 +2810,8 @@ class T5ForConditionalGeneration: ...@@ -2754,8 +2810,8 @@ class T5ForConditionalGeneration:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class T5Model: class T5Model:
...@@ -2763,8 +2819,8 @@ class T5Model: ...@@ -2763,8 +2819,8 @@ class T5Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class T5PreTrainedModel: class T5PreTrainedModel:
...@@ -2772,8 +2828,8 @@ class T5PreTrainedModel: ...@@ -2772,8 +2828,8 @@ class T5PreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_t5(*args, **kwargs): def load_tf_weights_in_t5(*args, **kwargs):
...@@ -2788,8 +2844,8 @@ class TapasForMaskedLM: ...@@ -2788,8 +2844,8 @@ class TapasForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TapasForQuestionAnswering: class TapasForQuestionAnswering:
...@@ -2797,8 +2853,8 @@ class TapasForQuestionAnswering: ...@@ -2797,8 +2853,8 @@ class TapasForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TapasForSequenceClassification: class TapasForSequenceClassification:
...@@ -2806,8 +2862,8 @@ class TapasForSequenceClassification: ...@@ -2806,8 +2862,8 @@ class TapasForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TapasModel: class TapasModel:
...@@ -2815,8 +2871,8 @@ class TapasModel: ...@@ -2815,8 +2871,8 @@ class TapasModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2832,8 +2888,8 @@ class TransfoXLForSequenceClassification: ...@@ -2832,8 +2888,8 @@ class TransfoXLForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TransfoXLLMHeadModel: class TransfoXLLMHeadModel:
...@@ -2841,8 +2897,8 @@ class TransfoXLLMHeadModel: ...@@ -2841,8 +2897,8 @@ class TransfoXLLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TransfoXLModel: class TransfoXLModel:
...@@ -2850,8 +2906,8 @@ class TransfoXLModel: ...@@ -2850,8 +2906,8 @@ class TransfoXLModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class TransfoXLPreTrainedModel: class TransfoXLPreTrainedModel:
...@@ -2859,8 +2915,8 @@ class TransfoXLPreTrainedModel: ...@@ -2859,8 +2915,8 @@ class TransfoXLPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_transfo_xl(*args, **kwargs): def load_tf_weights_in_transfo_xl(*args, **kwargs):
...@@ -2875,8 +2931,8 @@ class VisualBertForMultipleChoice: ...@@ -2875,8 +2931,8 @@ class VisualBertForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class VisualBertForPreTraining: class VisualBertForPreTraining:
...@@ -2889,8 +2945,8 @@ class VisualBertForQuestionAnswering: ...@@ -2889,8 +2945,8 @@ class VisualBertForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class VisualBertForRegionToPhraseAlignment: class VisualBertForRegionToPhraseAlignment:
...@@ -2913,8 +2969,8 @@ class VisualBertModel: ...@@ -2913,8 +2969,8 @@ class VisualBertModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class VisualBertPreTrainedModel: class VisualBertPreTrainedModel:
...@@ -2922,8 +2978,8 @@ class VisualBertPreTrainedModel: ...@@ -2922,8 +2978,8 @@ class VisualBertPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
VIT_PRETRAINED_MODEL_ARCHIVE_LIST = None VIT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2939,8 +2995,8 @@ class ViTModel: ...@@ -2939,8 +2995,8 @@ class ViTModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class ViTPreTrainedModel: class ViTPreTrainedModel:
...@@ -2948,8 +3004,8 @@ class ViTPreTrainedModel: ...@@ -2948,8 +3004,8 @@ class ViTPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST = None WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -2965,8 +3021,8 @@ class Wav2Vec2ForMaskedLM: ...@@ -2965,8 +3021,8 @@ class Wav2Vec2ForMaskedLM:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class Wav2Vec2ForPreTraining: class Wav2Vec2ForPreTraining:
...@@ -2979,8 +3035,8 @@ class Wav2Vec2Model: ...@@ -2979,8 +3035,8 @@ class Wav2Vec2Model:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class Wav2Vec2PreTrainedModel: class Wav2Vec2PreTrainedModel:
...@@ -2988,8 +3044,8 @@ class Wav2Vec2PreTrainedModel: ...@@ -2988,8 +3044,8 @@ class Wav2Vec2PreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -3000,8 +3056,8 @@ class XLMForMultipleChoice: ...@@ -3000,8 +3056,8 @@ class XLMForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMForQuestionAnswering: class XLMForQuestionAnswering:
...@@ -3009,8 +3065,8 @@ class XLMForQuestionAnswering: ...@@ -3009,8 +3065,8 @@ class XLMForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMForQuestionAnsweringSimple: class XLMForQuestionAnsweringSimple:
...@@ -3018,8 +3074,8 @@ class XLMForQuestionAnsweringSimple: ...@@ -3018,8 +3074,8 @@ class XLMForQuestionAnsweringSimple:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMForSequenceClassification: class XLMForSequenceClassification:
...@@ -3027,8 +3083,8 @@ class XLMForSequenceClassification: ...@@ -3027,8 +3083,8 @@ class XLMForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMForTokenClassification: class XLMForTokenClassification:
...@@ -3036,8 +3092,8 @@ class XLMForTokenClassification: ...@@ -3036,8 +3092,8 @@ class XLMForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMModel: class XLMModel:
...@@ -3045,8 +3101,8 @@ class XLMModel: ...@@ -3045,8 +3101,8 @@ class XLMModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMPreTrainedModel: class XLMPreTrainedModel:
...@@ -3054,8 +3110,8 @@ class XLMPreTrainedModel: ...@@ -3054,8 +3110,8 @@ class XLMPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMWithLMHeadModel: class XLMWithLMHeadModel:
...@@ -3063,8 +3119,8 @@ class XLMWithLMHeadModel: ...@@ -3063,8 +3119,8 @@ class XLMWithLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -3084,14 +3140,18 @@ class XLMProphetNetForCausalLM: ...@@ -3084,14 +3140,18 @@ class XLMProphetNetForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class XLMProphetNetForConditionalGeneration: class XLMProphetNetForConditionalGeneration:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMProphetNetModel: class XLMProphetNetModel:
...@@ -3099,8 +3159,8 @@ class XLMProphetNetModel: ...@@ -3099,8 +3159,8 @@ class XLMProphetNetModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -3110,14 +3170,18 @@ class XLMRobertaForCausalLM: ...@@ -3110,14 +3170,18 @@ class XLMRobertaForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])
class XLMRobertaForMaskedLM: class XLMRobertaForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMRobertaForMultipleChoice: class XLMRobertaForMultipleChoice:
...@@ -3125,8 +3189,8 @@ class XLMRobertaForMultipleChoice: ...@@ -3125,8 +3189,8 @@ class XLMRobertaForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMRobertaForQuestionAnswering: class XLMRobertaForQuestionAnswering:
...@@ -3134,8 +3198,8 @@ class XLMRobertaForQuestionAnswering: ...@@ -3134,8 +3198,8 @@ class XLMRobertaForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMRobertaForSequenceClassification: class XLMRobertaForSequenceClassification:
...@@ -3143,8 +3207,8 @@ class XLMRobertaForSequenceClassification: ...@@ -3143,8 +3207,8 @@ class XLMRobertaForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMRobertaForTokenClassification: class XLMRobertaForTokenClassification:
...@@ -3152,8 +3216,8 @@ class XLMRobertaForTokenClassification: ...@@ -3152,8 +3216,8 @@ class XLMRobertaForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLMRobertaModel: class XLMRobertaModel:
...@@ -3161,8 +3225,8 @@ class XLMRobertaModel: ...@@ -3161,8 +3225,8 @@ class XLMRobertaModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -3173,8 +3237,8 @@ class XLNetForMultipleChoice: ...@@ -3173,8 +3237,8 @@ class XLNetForMultipleChoice:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetForQuestionAnswering: class XLNetForQuestionAnswering:
...@@ -3182,8 +3246,8 @@ class XLNetForQuestionAnswering: ...@@ -3182,8 +3246,8 @@ class XLNetForQuestionAnswering:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetForQuestionAnsweringSimple: class XLNetForQuestionAnsweringSimple:
...@@ -3191,8 +3255,8 @@ class XLNetForQuestionAnsweringSimple: ...@@ -3191,8 +3255,8 @@ class XLNetForQuestionAnsweringSimple:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetForSequenceClassification: class XLNetForSequenceClassification:
...@@ -3200,8 +3264,8 @@ class XLNetForSequenceClassification: ...@@ -3200,8 +3264,8 @@ class XLNetForSequenceClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetForTokenClassification: class XLNetForTokenClassification:
...@@ -3209,8 +3273,8 @@ class XLNetForTokenClassification: ...@@ -3209,8 +3273,8 @@ class XLNetForTokenClassification:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetLMHeadModel: class XLNetLMHeadModel:
...@@ -3218,8 +3282,8 @@ class XLNetLMHeadModel: ...@@ -3218,8 +3282,8 @@ class XLNetLMHeadModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetModel: class XLNetModel:
...@@ -3227,8 +3291,8 @@ class XLNetModel: ...@@ -3227,8 +3291,8 @@ class XLNetModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
class XLNetPreTrainedModel: class XLNetPreTrainedModel:
...@@ -3236,8 +3300,8 @@ class XLNetPreTrainedModel: ...@@ -3236,8 +3300,8 @@ class XLNetPreTrainedModel:
requires_backends(self, ["torch"]) requires_backends(self, ["torch"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["torch"]) requires_backends(cls, ["torch"])
def load_tf_weights_in_xlnet(*args, **kwargs): def load_tf_weights_in_xlnet(*args, **kwargs):
......
src/transformers/utils/dummy_sentencepiece_objects.py
View file @ 3b1f5caf
...@@ -7,8 +7,8 @@ class AlbertTokenizer: ...@@ -7,8 +7,8 @@ class AlbertTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class BarthezTokenizer: class BarthezTokenizer:
...@@ -16,8 +16,8 @@ class BarthezTokenizer: ...@@ -16,8 +16,8 @@ class BarthezTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class BertGenerationTokenizer: class BertGenerationTokenizer:
...@@ -25,8 +25,8 @@ class BertGenerationTokenizer: ...@@ -25,8 +25,8 @@ class BertGenerationTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class CamembertTokenizer: class CamembertTokenizer:
...@@ -34,8 +34,8 @@ class CamembertTokenizer: ...@@ -34,8 +34,8 @@ class CamembertTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class DebertaV2Tokenizer: class DebertaV2Tokenizer:
...@@ -43,8 +43,8 @@ class DebertaV2Tokenizer: ...@@ -43,8 +43,8 @@ class DebertaV2Tokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class M2M100Tokenizer: class M2M100Tokenizer:
...@@ -52,8 +52,8 @@ class M2M100Tokenizer: ...@@ -52,8 +52,8 @@ class M2M100Tokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class MarianTokenizer: class MarianTokenizer:
...@@ -61,8 +61,8 @@ class MarianTokenizer: ...@@ -61,8 +61,8 @@ class MarianTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class MBart50Tokenizer: class MBart50Tokenizer:
...@@ -70,8 +70,8 @@ class MBart50Tokenizer: ...@@ -70,8 +70,8 @@ class MBart50Tokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class MBartTokenizer: class MBartTokenizer:
...@@ -79,8 +79,8 @@ class MBartTokenizer: ...@@ -79,8 +79,8 @@ class MBartTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class MT5Tokenizer: class MT5Tokenizer:
...@@ -88,8 +88,8 @@ class MT5Tokenizer: ...@@ -88,8 +88,8 @@ class MT5Tokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class PegasusTokenizer: class PegasusTokenizer:
...@@ -97,8 +97,8 @@ class PegasusTokenizer: ...@@ -97,8 +97,8 @@ class PegasusTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class ReformerTokenizer: class ReformerTokenizer:
...@@ -106,8 +106,8 @@ class ReformerTokenizer: ...@@ -106,8 +106,8 @@ class ReformerTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class Speech2TextTokenizer: class Speech2TextTokenizer:
...@@ -115,8 +115,8 @@ class Speech2TextTokenizer: ...@@ -115,8 +115,8 @@ class Speech2TextTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class T5Tokenizer: class T5Tokenizer:
...@@ -124,8 +124,8 @@ class T5Tokenizer: ...@@ -124,8 +124,8 @@ class T5Tokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class XLMProphetNetTokenizer: class XLMProphetNetTokenizer:
...@@ -133,8 +133,8 @@ class XLMProphetNetTokenizer: ...@@ -133,8 +133,8 @@ class XLMProphetNetTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class XLMRobertaTokenizer: class XLMRobertaTokenizer:
...@@ -142,8 +142,8 @@ class XLMRobertaTokenizer: ...@@ -142,8 +142,8 @@ class XLMRobertaTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
class XLNetTokenizer: class XLNetTokenizer:
...@@ -151,5 +151,5 @@ class XLNetTokenizer: ...@@ -151,5 +151,5 @@ class XLNetTokenizer:
requires_backends(self, ["sentencepiece"]) requires_backends(self, ["sentencepiece"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) requires_backends(cls, ["sentencepiece"])
src/transformers/utils/dummy_tf_objects.py
View file @ 3b1f5caf
...@@ -24,8 +24,8 @@ class TFLayoutLMForMaskedLM: ...@@ -24,8 +24,8 @@ class TFLayoutLMForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLayoutLMForSequenceClassification: class TFLayoutLMForSequenceClassification:
...@@ -33,8 +33,8 @@ class TFLayoutLMForSequenceClassification: ...@@ -33,8 +33,8 @@ class TFLayoutLMForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLayoutLMForTokenClassification: class TFLayoutLMForTokenClassification:
...@@ -42,8 +42,8 @@ class TFLayoutLMForTokenClassification: ...@@ -42,8 +42,8 @@ class TFLayoutLMForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLayoutLMMainLayer: class TFLayoutLMMainLayer:
...@@ -56,8 +56,8 @@ class TFLayoutLMModel: ...@@ -56,8 +56,8 @@ class TFLayoutLMModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLayoutLMPreTrainedModel: class TFLayoutLMPreTrainedModel:
...@@ -65,8 +65,8 @@ class TFLayoutLMPreTrainedModel: ...@@ -65,8 +65,8 @@ class TFLayoutLMPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFPreTrainedModel: class TFPreTrainedModel:
...@@ -74,8 +74,8 @@ class TFPreTrainedModel: ...@@ -74,8 +74,8 @@ class TFPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFSequenceSummary: class TFSequenceSummary:
...@@ -100,8 +100,8 @@ class TFAlbertForMaskedLM: ...@@ -100,8 +100,8 @@ class TFAlbertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertForMultipleChoice: class TFAlbertForMultipleChoice:
...@@ -109,8 +109,8 @@ class TFAlbertForMultipleChoice: ...@@ -109,8 +109,8 @@ class TFAlbertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertForPreTraining: class TFAlbertForPreTraining:
...@@ -123,8 +123,8 @@ class TFAlbertForQuestionAnswering: ...@@ -123,8 +123,8 @@ class TFAlbertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertForSequenceClassification: class TFAlbertForSequenceClassification:
...@@ -132,8 +132,8 @@ class TFAlbertForSequenceClassification: ...@@ -132,8 +132,8 @@ class TFAlbertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertForTokenClassification: class TFAlbertForTokenClassification:
...@@ -141,8 +141,8 @@ class TFAlbertForTokenClassification: ...@@ -141,8 +141,8 @@ class TFAlbertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertMainLayer: class TFAlbertMainLayer:
...@@ -155,8 +155,8 @@ class TFAlbertModel: ...@@ -155,8 +155,8 @@ class TFAlbertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAlbertPreTrainedModel: class TFAlbertPreTrainedModel:
...@@ -164,8 +164,8 @@ class TFAlbertPreTrainedModel: ...@@ -164,8 +164,8 @@ class TFAlbertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_MODEL_FOR_CAUSAL_LM_MAPPING = None TF_MODEL_FOR_CAUSAL_LM_MAPPING = None
...@@ -206,8 +206,8 @@ class TFAutoModel: ...@@ -206,8 +206,8 @@ class TFAutoModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForCausalLM: class TFAutoModelForCausalLM:
...@@ -215,8 +215,8 @@ class TFAutoModelForCausalLM: ...@@ -215,8 +215,8 @@ class TFAutoModelForCausalLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForMaskedLM: class TFAutoModelForMaskedLM:
...@@ -224,8 +224,8 @@ class TFAutoModelForMaskedLM: ...@@ -224,8 +224,8 @@ class TFAutoModelForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForMultipleChoice: class TFAutoModelForMultipleChoice:
...@@ -233,8 +233,8 @@ class TFAutoModelForMultipleChoice: ...@@ -233,8 +233,8 @@ class TFAutoModelForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForPreTraining: class TFAutoModelForPreTraining:
...@@ -242,8 +242,8 @@ class TFAutoModelForPreTraining: ...@@ -242,8 +242,8 @@ class TFAutoModelForPreTraining:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForQuestionAnswering: class TFAutoModelForQuestionAnswering:
...@@ -251,8 +251,8 @@ class TFAutoModelForQuestionAnswering: ...@@ -251,8 +251,8 @@ class TFAutoModelForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForSeq2SeqLM: class TFAutoModelForSeq2SeqLM:
...@@ -260,8 +260,8 @@ class TFAutoModelForSeq2SeqLM: ...@@ -260,8 +260,8 @@ class TFAutoModelForSeq2SeqLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForSequenceClassification: class TFAutoModelForSequenceClassification:
...@@ -269,8 +269,8 @@ class TFAutoModelForSequenceClassification: ...@@ -269,8 +269,8 @@ class TFAutoModelForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelForTokenClassification: class TFAutoModelForTokenClassification:
...@@ -278,8 +278,8 @@ class TFAutoModelForTokenClassification: ...@@ -278,8 +278,8 @@ class TFAutoModelForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFAutoModelWithLMHead: class TFAutoModelWithLMHead:
...@@ -287,8 +287,8 @@ class TFAutoModelWithLMHead: ...@@ -287,8 +287,8 @@ class TFAutoModelWithLMHead:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBartForConditionalGeneration: class TFBartForConditionalGeneration:
...@@ -296,8 +296,8 @@ class TFBartForConditionalGeneration: ...@@ -296,8 +296,8 @@ class TFBartForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBartModel: class TFBartModel:
...@@ -305,8 +305,8 @@ class TFBartModel: ...@@ -305,8 +305,8 @@ class TFBartModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBartPretrainedModel: class TFBartPretrainedModel:
...@@ -314,8 +314,8 @@ class TFBartPretrainedModel: ...@@ -314,8 +314,8 @@ class TFBartPretrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -331,8 +331,8 @@ class TFBertForMaskedLM: ...@@ -331,8 +331,8 @@ class TFBertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertForMultipleChoice: class TFBertForMultipleChoice:
...@@ -340,8 +340,8 @@ class TFBertForMultipleChoice: ...@@ -340,8 +340,8 @@ class TFBertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertForNextSentencePrediction: class TFBertForNextSentencePrediction:
...@@ -359,8 +359,8 @@ class TFBertForQuestionAnswering: ...@@ -359,8 +359,8 @@ class TFBertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertForSequenceClassification: class TFBertForSequenceClassification:
...@@ -368,8 +368,8 @@ class TFBertForSequenceClassification: ...@@ -368,8 +368,8 @@ class TFBertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertForTokenClassification: class TFBertForTokenClassification:
...@@ -377,8 +377,8 @@ class TFBertForTokenClassification: ...@@ -377,8 +377,8 @@ class TFBertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertLMHeadModel: class TFBertLMHeadModel:
...@@ -386,8 +386,8 @@ class TFBertLMHeadModel: ...@@ -386,8 +386,8 @@ class TFBertLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertMainLayer: class TFBertMainLayer:
...@@ -400,8 +400,8 @@ class TFBertModel: ...@@ -400,8 +400,8 @@ class TFBertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBertPreTrainedModel: class TFBertPreTrainedModel:
...@@ -409,8 +409,8 @@ class TFBertPreTrainedModel: ...@@ -409,8 +409,8 @@ class TFBertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBlenderbotForConditionalGeneration: class TFBlenderbotForConditionalGeneration:
...@@ -418,8 +418,8 @@ class TFBlenderbotForConditionalGeneration: ...@@ -418,8 +418,8 @@ class TFBlenderbotForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBlenderbotModel: class TFBlenderbotModel:
...@@ -427,8 +427,8 @@ class TFBlenderbotModel: ...@@ -427,8 +427,8 @@ class TFBlenderbotModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBlenderbotSmallForConditionalGeneration: class TFBlenderbotSmallForConditionalGeneration:
...@@ -436,8 +436,8 @@ class TFBlenderbotSmallForConditionalGeneration: ...@@ -436,8 +436,8 @@ class TFBlenderbotSmallForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFBlenderbotSmallModel: class TFBlenderbotSmallModel:
...@@ -445,8 +445,8 @@ class TFBlenderbotSmallModel: ...@@ -445,8 +445,8 @@ class TFBlenderbotSmallModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -457,8 +457,8 @@ class TFCamembertForMaskedLM: ...@@ -457,8 +457,8 @@ class TFCamembertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCamembertForMultipleChoice: class TFCamembertForMultipleChoice:
...@@ -466,8 +466,8 @@ class TFCamembertForMultipleChoice: ...@@ -466,8 +466,8 @@ class TFCamembertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCamembertForQuestionAnswering: class TFCamembertForQuestionAnswering:
...@@ -475,8 +475,8 @@ class TFCamembertForQuestionAnswering: ...@@ -475,8 +475,8 @@ class TFCamembertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCamembertForSequenceClassification: class TFCamembertForSequenceClassification:
...@@ -484,8 +484,8 @@ class TFCamembertForSequenceClassification: ...@@ -484,8 +484,8 @@ class TFCamembertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCamembertForTokenClassification: class TFCamembertForTokenClassification:
...@@ -493,8 +493,8 @@ class TFCamembertForTokenClassification: ...@@ -493,8 +493,8 @@ class TFCamembertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCamembertModel: class TFCamembertModel:
...@@ -502,8 +502,8 @@ class TFCamembertModel: ...@@ -502,8 +502,8 @@ class TFCamembertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -514,8 +514,8 @@ class TFConvBertForMaskedLM: ...@@ -514,8 +514,8 @@ class TFConvBertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertForMultipleChoice: class TFConvBertForMultipleChoice:
...@@ -523,8 +523,8 @@ class TFConvBertForMultipleChoice: ...@@ -523,8 +523,8 @@ class TFConvBertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertForQuestionAnswering: class TFConvBertForQuestionAnswering:
...@@ -532,8 +532,8 @@ class TFConvBertForQuestionAnswering: ...@@ -532,8 +532,8 @@ class TFConvBertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertForSequenceClassification: class TFConvBertForSequenceClassification:
...@@ -541,8 +541,8 @@ class TFConvBertForSequenceClassification: ...@@ -541,8 +541,8 @@ class TFConvBertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertForTokenClassification: class TFConvBertForTokenClassification:
...@@ -550,8 +550,8 @@ class TFConvBertForTokenClassification: ...@@ -550,8 +550,8 @@ class TFConvBertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertLayer: class TFConvBertLayer:
...@@ -564,8 +564,8 @@ class TFConvBertModel: ...@@ -564,8 +564,8 @@ class TFConvBertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFConvBertPreTrainedModel: class TFConvBertPreTrainedModel:
...@@ -573,8 +573,8 @@ class TFConvBertPreTrainedModel: ...@@ -573,8 +573,8 @@ class TFConvBertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -585,8 +585,8 @@ class TFCTRLForSequenceClassification: ...@@ -585,8 +585,8 @@ class TFCTRLForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCTRLLMHeadModel: class TFCTRLLMHeadModel:
...@@ -594,8 +594,8 @@ class TFCTRLLMHeadModel: ...@@ -594,8 +594,8 @@ class TFCTRLLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCTRLModel: class TFCTRLModel:
...@@ -603,8 +603,8 @@ class TFCTRLModel: ...@@ -603,8 +603,8 @@ class TFCTRLModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFCTRLPreTrainedModel: class TFCTRLPreTrainedModel:
...@@ -612,8 +612,8 @@ class TFCTRLPreTrainedModel: ...@@ -612,8 +612,8 @@ class TFCTRLPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -624,8 +624,8 @@ class TFDistilBertForMaskedLM: ...@@ -624,8 +624,8 @@ class TFDistilBertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertForMultipleChoice: class TFDistilBertForMultipleChoice:
...@@ -633,8 +633,8 @@ class TFDistilBertForMultipleChoice: ...@@ -633,8 +633,8 @@ class TFDistilBertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertForQuestionAnswering: class TFDistilBertForQuestionAnswering:
...@@ -642,8 +642,8 @@ class TFDistilBertForQuestionAnswering: ...@@ -642,8 +642,8 @@ class TFDistilBertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertForSequenceClassification: class TFDistilBertForSequenceClassification:
...@@ -651,8 +651,8 @@ class TFDistilBertForSequenceClassification: ...@@ -651,8 +651,8 @@ class TFDistilBertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertForTokenClassification: class TFDistilBertForTokenClassification:
...@@ -660,8 +660,8 @@ class TFDistilBertForTokenClassification: ...@@ -660,8 +660,8 @@ class TFDistilBertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertMainLayer: class TFDistilBertMainLayer:
...@@ -674,8 +674,8 @@ class TFDistilBertModel: ...@@ -674,8 +674,8 @@ class TFDistilBertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFDistilBertPreTrainedModel: class TFDistilBertPreTrainedModel:
...@@ -683,8 +683,8 @@ class TFDistilBertPreTrainedModel: ...@@ -683,8 +683,8 @@ class TFDistilBertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -734,8 +734,8 @@ class TFElectraForMaskedLM: ...@@ -734,8 +734,8 @@ class TFElectraForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraForMultipleChoice: class TFElectraForMultipleChoice:
...@@ -743,8 +743,8 @@ class TFElectraForMultipleChoice: ...@@ -743,8 +743,8 @@ class TFElectraForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraForPreTraining: class TFElectraForPreTraining:
...@@ -757,8 +757,8 @@ class TFElectraForQuestionAnswering: ...@@ -757,8 +757,8 @@ class TFElectraForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraForSequenceClassification: class TFElectraForSequenceClassification:
...@@ -766,8 +766,8 @@ class TFElectraForSequenceClassification: ...@@ -766,8 +766,8 @@ class TFElectraForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraForTokenClassification: class TFElectraForTokenClassification:
...@@ -775,8 +775,8 @@ class TFElectraForTokenClassification: ...@@ -775,8 +775,8 @@ class TFElectraForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraModel: class TFElectraModel:
...@@ -784,8 +784,8 @@ class TFElectraModel: ...@@ -784,8 +784,8 @@ class TFElectraModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFElectraPreTrainedModel: class TFElectraPreTrainedModel:
...@@ -793,8 +793,8 @@ class TFElectraPreTrainedModel: ...@@ -793,8 +793,8 @@ class TFElectraPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -805,8 +805,8 @@ class TFFlaubertForMultipleChoice: ...@@ -805,8 +805,8 @@ class TFFlaubertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFlaubertForQuestionAnsweringSimple: class TFFlaubertForQuestionAnsweringSimple:
...@@ -814,8 +814,8 @@ class TFFlaubertForQuestionAnsweringSimple: ...@@ -814,8 +814,8 @@ class TFFlaubertForQuestionAnsweringSimple:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFlaubertForSequenceClassification: class TFFlaubertForSequenceClassification:
...@@ -823,8 +823,8 @@ class TFFlaubertForSequenceClassification: ...@@ -823,8 +823,8 @@ class TFFlaubertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFlaubertForTokenClassification: class TFFlaubertForTokenClassification:
...@@ -832,8 +832,8 @@ class TFFlaubertForTokenClassification: ...@@ -832,8 +832,8 @@ class TFFlaubertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFlaubertModel: class TFFlaubertModel:
...@@ -841,8 +841,8 @@ class TFFlaubertModel: ...@@ -841,8 +841,8 @@ class TFFlaubertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFlaubertWithLMHeadModel: class TFFlaubertWithLMHeadModel:
...@@ -850,8 +850,8 @@ class TFFlaubertWithLMHeadModel: ...@@ -850,8 +850,8 @@ class TFFlaubertWithLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -862,8 +862,8 @@ class TFFunnelBaseModel: ...@@ -862,8 +862,8 @@ class TFFunnelBaseModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelForMaskedLM: class TFFunnelForMaskedLM:
...@@ -871,8 +871,8 @@ class TFFunnelForMaskedLM: ...@@ -871,8 +871,8 @@ class TFFunnelForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelForMultipleChoice: class TFFunnelForMultipleChoice:
...@@ -880,8 +880,8 @@ class TFFunnelForMultipleChoice: ...@@ -880,8 +880,8 @@ class TFFunnelForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelForPreTraining: class TFFunnelForPreTraining:
...@@ -894,8 +894,8 @@ class TFFunnelForQuestionAnswering: ...@@ -894,8 +894,8 @@ class TFFunnelForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelForSequenceClassification: class TFFunnelForSequenceClassification:
...@@ -903,8 +903,8 @@ class TFFunnelForSequenceClassification: ...@@ -903,8 +903,8 @@ class TFFunnelForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelForTokenClassification: class TFFunnelForTokenClassification:
...@@ -912,8 +912,8 @@ class TFFunnelForTokenClassification: ...@@ -912,8 +912,8 @@ class TFFunnelForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFFunnelModel: class TFFunnelModel:
...@@ -921,8 +921,8 @@ class TFFunnelModel: ...@@ -921,8 +921,8 @@ class TFFunnelModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -933,8 +933,8 @@ class TFGPT2DoubleHeadsModel: ...@@ -933,8 +933,8 @@ class TFGPT2DoubleHeadsModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFGPT2ForSequenceClassification: class TFGPT2ForSequenceClassification:
...@@ -942,8 +942,8 @@ class TFGPT2ForSequenceClassification: ...@@ -942,8 +942,8 @@ class TFGPT2ForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFGPT2LMHeadModel: class TFGPT2LMHeadModel:
...@@ -951,8 +951,8 @@ class TFGPT2LMHeadModel: ...@@ -951,8 +951,8 @@ class TFGPT2LMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFGPT2MainLayer: class TFGPT2MainLayer:
...@@ -965,8 +965,8 @@ class TFGPT2Model: ...@@ -965,8 +965,8 @@ class TFGPT2Model:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFGPT2PreTrainedModel: class TFGPT2PreTrainedModel:
...@@ -974,8 +974,8 @@ class TFGPT2PreTrainedModel: ...@@ -974,8 +974,8 @@ class TFGPT2PreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLEDForConditionalGeneration: class TFLEDForConditionalGeneration:
...@@ -983,8 +983,8 @@ class TFLEDForConditionalGeneration: ...@@ -983,8 +983,8 @@ class TFLEDForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLEDModel: class TFLEDModel:
...@@ -992,8 +992,8 @@ class TFLEDModel: ...@@ -992,8 +992,8 @@ class TFLEDModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLEDPreTrainedModel: class TFLEDPreTrainedModel:
...@@ -1001,8 +1001,8 @@ class TFLEDPreTrainedModel: ...@@ -1001,8 +1001,8 @@ class TFLEDPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1013,8 +1013,8 @@ class TFLongformerForMaskedLM: ...@@ -1013,8 +1013,8 @@ class TFLongformerForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerForMultipleChoice: class TFLongformerForMultipleChoice:
...@@ -1022,8 +1022,8 @@ class TFLongformerForMultipleChoice: ...@@ -1022,8 +1022,8 @@ class TFLongformerForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerForQuestionAnswering: class TFLongformerForQuestionAnswering:
...@@ -1031,8 +1031,8 @@ class TFLongformerForQuestionAnswering: ...@@ -1031,8 +1031,8 @@ class TFLongformerForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerForSequenceClassification: class TFLongformerForSequenceClassification:
...@@ -1040,8 +1040,8 @@ class TFLongformerForSequenceClassification: ...@@ -1040,8 +1040,8 @@ class TFLongformerForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerForTokenClassification: class TFLongformerForTokenClassification:
...@@ -1049,8 +1049,8 @@ class TFLongformerForTokenClassification: ...@@ -1049,8 +1049,8 @@ class TFLongformerForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerModel: class TFLongformerModel:
...@@ -1058,8 +1058,8 @@ class TFLongformerModel: ...@@ -1058,8 +1058,8 @@ class TFLongformerModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLongformerSelfAttention: class TFLongformerSelfAttention:
...@@ -1085,8 +1085,8 @@ class TFLxmertModel: ...@@ -1085,8 +1085,8 @@ class TFLxmertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLxmertPreTrainedModel: class TFLxmertPreTrainedModel:
...@@ -1094,8 +1094,8 @@ class TFLxmertPreTrainedModel: ...@@ -1094,8 +1094,8 @@ class TFLxmertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFLxmertVisualFeatureEncoder: class TFLxmertVisualFeatureEncoder:
...@@ -1108,8 +1108,8 @@ class TFMarianModel: ...@@ -1108,8 +1108,8 @@ class TFMarianModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMarianMTModel: class TFMarianMTModel:
...@@ -1117,8 +1117,8 @@ class TFMarianMTModel: ...@@ -1117,8 +1117,8 @@ class TFMarianMTModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMBartForConditionalGeneration: class TFMBartForConditionalGeneration:
...@@ -1126,8 +1126,8 @@ class TFMBartForConditionalGeneration: ...@@ -1126,8 +1126,8 @@ class TFMBartForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMBartModel: class TFMBartModel:
...@@ -1135,8 +1135,8 @@ class TFMBartModel: ...@@ -1135,8 +1135,8 @@ class TFMBartModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1147,8 +1147,8 @@ class TFMobileBertForMaskedLM: ...@@ -1147,8 +1147,8 @@ class TFMobileBertForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertForMultipleChoice: class TFMobileBertForMultipleChoice:
...@@ -1156,8 +1156,8 @@ class TFMobileBertForMultipleChoice: ...@@ -1156,8 +1156,8 @@ class TFMobileBertForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertForNextSentencePrediction: class TFMobileBertForNextSentencePrediction:
...@@ -1175,8 +1175,8 @@ class TFMobileBertForQuestionAnswering: ...@@ -1175,8 +1175,8 @@ class TFMobileBertForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertForSequenceClassification: class TFMobileBertForSequenceClassification:
...@@ -1184,8 +1184,8 @@ class TFMobileBertForSequenceClassification: ...@@ -1184,8 +1184,8 @@ class TFMobileBertForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertForTokenClassification: class TFMobileBertForTokenClassification:
...@@ -1193,8 +1193,8 @@ class TFMobileBertForTokenClassification: ...@@ -1193,8 +1193,8 @@ class TFMobileBertForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertMainLayer: class TFMobileBertMainLayer:
...@@ -1207,8 +1207,8 @@ class TFMobileBertModel: ...@@ -1207,8 +1207,8 @@ class TFMobileBertModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMobileBertPreTrainedModel: class TFMobileBertPreTrainedModel:
...@@ -1216,8 +1216,8 @@ class TFMobileBertPreTrainedModel: ...@@ -1216,8 +1216,8 @@ class TFMobileBertPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1228,8 +1228,8 @@ class TFMPNetForMaskedLM: ...@@ -1228,8 +1228,8 @@ class TFMPNetForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetForMultipleChoice: class TFMPNetForMultipleChoice:
...@@ -1237,8 +1237,8 @@ class TFMPNetForMultipleChoice: ...@@ -1237,8 +1237,8 @@ class TFMPNetForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetForQuestionAnswering: class TFMPNetForQuestionAnswering:
...@@ -1246,8 +1246,8 @@ class TFMPNetForQuestionAnswering: ...@@ -1246,8 +1246,8 @@ class TFMPNetForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetForSequenceClassification: class TFMPNetForSequenceClassification:
...@@ -1255,8 +1255,8 @@ class TFMPNetForSequenceClassification: ...@@ -1255,8 +1255,8 @@ class TFMPNetForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetForTokenClassification: class TFMPNetForTokenClassification:
...@@ -1264,8 +1264,8 @@ class TFMPNetForTokenClassification: ...@@ -1264,8 +1264,8 @@ class TFMPNetForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetMainLayer: class TFMPNetMainLayer:
...@@ -1278,8 +1278,8 @@ class TFMPNetModel: ...@@ -1278,8 +1278,8 @@ class TFMPNetModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMPNetPreTrainedModel: class TFMPNetPreTrainedModel:
...@@ -1287,8 +1287,8 @@ class TFMPNetPreTrainedModel: ...@@ -1287,8 +1287,8 @@ class TFMPNetPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMT5EncoderModel: class TFMT5EncoderModel:
...@@ -1296,8 +1296,8 @@ class TFMT5EncoderModel: ...@@ -1296,8 +1296,8 @@ class TFMT5EncoderModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMT5ForConditionalGeneration: class TFMT5ForConditionalGeneration:
...@@ -1305,8 +1305,8 @@ class TFMT5ForConditionalGeneration: ...@@ -1305,8 +1305,8 @@ class TFMT5ForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFMT5Model: class TFMT5Model:
...@@ -1314,8 +1314,8 @@ class TFMT5Model: ...@@ -1314,8 +1314,8 @@ class TFMT5Model:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1326,8 +1326,8 @@ class TFOpenAIGPTDoubleHeadsModel: ...@@ -1326,8 +1326,8 @@ class TFOpenAIGPTDoubleHeadsModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFOpenAIGPTForSequenceClassification: class TFOpenAIGPTForSequenceClassification:
...@@ -1335,8 +1335,8 @@ class TFOpenAIGPTForSequenceClassification: ...@@ -1335,8 +1335,8 @@ class TFOpenAIGPTForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFOpenAIGPTLMHeadModel: class TFOpenAIGPTLMHeadModel:
...@@ -1344,8 +1344,8 @@ class TFOpenAIGPTLMHeadModel: ...@@ -1344,8 +1344,8 @@ class TFOpenAIGPTLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFOpenAIGPTMainLayer: class TFOpenAIGPTMainLayer:
...@@ -1358,8 +1358,8 @@ class TFOpenAIGPTModel: ...@@ -1358,8 +1358,8 @@ class TFOpenAIGPTModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFOpenAIGPTPreTrainedModel: class TFOpenAIGPTPreTrainedModel:
...@@ -1367,8 +1367,8 @@ class TFOpenAIGPTPreTrainedModel: ...@@ -1367,8 +1367,8 @@ class TFOpenAIGPTPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFPegasusForConditionalGeneration: class TFPegasusForConditionalGeneration:
...@@ -1376,8 +1376,8 @@ class TFPegasusForConditionalGeneration: ...@@ -1376,8 +1376,8 @@ class TFPegasusForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFPegasusModel: class TFPegasusModel:
...@@ -1385,8 +1385,8 @@ class TFPegasusModel: ...@@ -1385,8 +1385,8 @@ class TFPegasusModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRagModel: class TFRagModel:
...@@ -1394,8 +1394,8 @@ class TFRagModel: ...@@ -1394,8 +1394,8 @@ class TFRagModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRagSequenceForGeneration: class TFRagSequenceForGeneration:
...@@ -1416,8 +1416,8 @@ class TFRobertaForMaskedLM: ...@@ -1416,8 +1416,8 @@ class TFRobertaForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaForMultipleChoice: class TFRobertaForMultipleChoice:
...@@ -1425,8 +1425,8 @@ class TFRobertaForMultipleChoice: ...@@ -1425,8 +1425,8 @@ class TFRobertaForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaForQuestionAnswering: class TFRobertaForQuestionAnswering:
...@@ -1434,8 +1434,8 @@ class TFRobertaForQuestionAnswering: ...@@ -1434,8 +1434,8 @@ class TFRobertaForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaForSequenceClassification: class TFRobertaForSequenceClassification:
...@@ -1443,8 +1443,8 @@ class TFRobertaForSequenceClassification: ...@@ -1443,8 +1443,8 @@ class TFRobertaForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaForTokenClassification: class TFRobertaForTokenClassification:
...@@ -1452,8 +1452,8 @@ class TFRobertaForTokenClassification: ...@@ -1452,8 +1452,8 @@ class TFRobertaForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaMainLayer: class TFRobertaMainLayer:
...@@ -1466,8 +1466,8 @@ class TFRobertaModel: ...@@ -1466,8 +1466,8 @@ class TFRobertaModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRobertaPreTrainedModel: class TFRobertaPreTrainedModel:
...@@ -1475,8 +1475,8 @@ class TFRobertaPreTrainedModel: ...@@ -1475,8 +1475,8 @@ class TFRobertaPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1486,14 +1486,18 @@ class TFRoFormerForCausalLM: ...@@ -1486,14 +1486,18 @@ class TFRoFormerForCausalLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tf"])
class TFRoFormerForMaskedLM: class TFRoFormerForMaskedLM:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerForMultipleChoice: class TFRoFormerForMultipleChoice:
...@@ -1501,8 +1505,8 @@ class TFRoFormerForMultipleChoice: ...@@ -1501,8 +1505,8 @@ class TFRoFormerForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerForQuestionAnswering: class TFRoFormerForQuestionAnswering:
...@@ -1510,8 +1514,8 @@ class TFRoFormerForQuestionAnswering: ...@@ -1510,8 +1514,8 @@ class TFRoFormerForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerForSequenceClassification: class TFRoFormerForSequenceClassification:
...@@ -1519,8 +1523,8 @@ class TFRoFormerForSequenceClassification: ...@@ -1519,8 +1523,8 @@ class TFRoFormerForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerForTokenClassification: class TFRoFormerForTokenClassification:
...@@ -1528,8 +1532,8 @@ class TFRoFormerForTokenClassification: ...@@ -1528,8 +1532,8 @@ class TFRoFormerForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerLayer: class TFRoFormerLayer:
...@@ -1542,8 +1546,8 @@ class TFRoFormerModel: ...@@ -1542,8 +1546,8 @@ class TFRoFormerModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFRoFormerPreTrainedModel: class TFRoFormerPreTrainedModel:
...@@ -1551,8 +1555,8 @@ class TFRoFormerPreTrainedModel: ...@@ -1551,8 +1555,8 @@ class TFRoFormerPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1563,8 +1567,8 @@ class TFT5EncoderModel: ...@@ -1563,8 +1567,8 @@ class TFT5EncoderModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFT5ForConditionalGeneration: class TFT5ForConditionalGeneration:
...@@ -1572,8 +1576,8 @@ class TFT5ForConditionalGeneration: ...@@ -1572,8 +1576,8 @@ class TFT5ForConditionalGeneration:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFT5Model: class TFT5Model:
...@@ -1581,8 +1585,8 @@ class TFT5Model: ...@@ -1581,8 +1585,8 @@ class TFT5Model:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFT5PreTrainedModel: class TFT5PreTrainedModel:
...@@ -1590,8 +1594,8 @@ class TFT5PreTrainedModel: ...@@ -1590,8 +1594,8 @@ class TFT5PreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1607,8 +1611,8 @@ class TFTransfoXLForSequenceClassification: ...@@ -1607,8 +1611,8 @@ class TFTransfoXLForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFTransfoXLLMHeadModel: class TFTransfoXLLMHeadModel:
...@@ -1616,8 +1620,8 @@ class TFTransfoXLLMHeadModel: ...@@ -1616,8 +1620,8 @@ class TFTransfoXLLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFTransfoXLMainLayer: class TFTransfoXLMainLayer:
...@@ -1630,8 +1634,8 @@ class TFTransfoXLModel: ...@@ -1630,8 +1634,8 @@ class TFTransfoXLModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFTransfoXLPreTrainedModel: class TFTransfoXLPreTrainedModel:
...@@ -1639,8 +1643,8 @@ class TFTransfoXLPreTrainedModel: ...@@ -1639,8 +1643,8 @@ class TFTransfoXLPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1651,8 +1655,8 @@ class TFXLMForMultipleChoice: ...@@ -1651,8 +1655,8 @@ class TFXLMForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMForQuestionAnsweringSimple: class TFXLMForQuestionAnsweringSimple:
...@@ -1660,8 +1664,8 @@ class TFXLMForQuestionAnsweringSimple: ...@@ -1660,8 +1664,8 @@ class TFXLMForQuestionAnsweringSimple:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMForSequenceClassification: class TFXLMForSequenceClassification:
...@@ -1669,8 +1673,8 @@ class TFXLMForSequenceClassification: ...@@ -1669,8 +1673,8 @@ class TFXLMForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMForTokenClassification: class TFXLMForTokenClassification:
...@@ -1678,8 +1682,8 @@ class TFXLMForTokenClassification: ...@@ -1678,8 +1682,8 @@ class TFXLMForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMMainLayer: class TFXLMMainLayer:
...@@ -1692,8 +1696,8 @@ class TFXLMModel: ...@@ -1692,8 +1696,8 @@ class TFXLMModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMPreTrainedModel: class TFXLMPreTrainedModel:
...@@ -1701,8 +1705,8 @@ class TFXLMPreTrainedModel: ...@@ -1701,8 +1705,8 @@ class TFXLMPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMWithLMHeadModel: class TFXLMWithLMHeadModel:
...@@ -1710,8 +1714,8 @@ class TFXLMWithLMHeadModel: ...@@ -1710,8 +1714,8 @@ class TFXLMWithLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1722,8 +1726,8 @@ class TFXLMRobertaForMaskedLM: ...@@ -1722,8 +1726,8 @@ class TFXLMRobertaForMaskedLM:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMRobertaForMultipleChoice: class TFXLMRobertaForMultipleChoice:
...@@ -1731,8 +1735,8 @@ class TFXLMRobertaForMultipleChoice: ...@@ -1731,8 +1735,8 @@ class TFXLMRobertaForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMRobertaForQuestionAnswering: class TFXLMRobertaForQuestionAnswering:
...@@ -1740,8 +1744,8 @@ class TFXLMRobertaForQuestionAnswering: ...@@ -1740,8 +1744,8 @@ class TFXLMRobertaForQuestionAnswering:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMRobertaForSequenceClassification: class TFXLMRobertaForSequenceClassification:
...@@ -1749,8 +1753,8 @@ class TFXLMRobertaForSequenceClassification: ...@@ -1749,8 +1753,8 @@ class TFXLMRobertaForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMRobertaForTokenClassification: class TFXLMRobertaForTokenClassification:
...@@ -1758,8 +1762,8 @@ class TFXLMRobertaForTokenClassification: ...@@ -1758,8 +1762,8 @@ class TFXLMRobertaForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLMRobertaModel: class TFXLMRobertaModel:
...@@ -1767,8 +1771,8 @@ class TFXLMRobertaModel: ...@@ -1767,8 +1771,8 @@ class TFXLMRobertaModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None
...@@ -1779,8 +1783,8 @@ class TFXLNetForMultipleChoice: ...@@ -1779,8 +1783,8 @@ class TFXLNetForMultipleChoice:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetForQuestionAnsweringSimple: class TFXLNetForQuestionAnsweringSimple:
...@@ -1788,8 +1792,8 @@ class TFXLNetForQuestionAnsweringSimple: ...@@ -1788,8 +1792,8 @@ class TFXLNetForQuestionAnsweringSimple:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetForSequenceClassification: class TFXLNetForSequenceClassification:
...@@ -1797,8 +1801,8 @@ class TFXLNetForSequenceClassification: ...@@ -1797,8 +1801,8 @@ class TFXLNetForSequenceClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetForTokenClassification: class TFXLNetForTokenClassification:
...@@ -1806,8 +1810,8 @@ class TFXLNetForTokenClassification: ...@@ -1806,8 +1810,8 @@ class TFXLNetForTokenClassification:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetLMHeadModel: class TFXLNetLMHeadModel:
...@@ -1815,8 +1819,8 @@ class TFXLNetLMHeadModel: ...@@ -1815,8 +1819,8 @@ class TFXLNetLMHeadModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetMainLayer: class TFXLNetMainLayer:
...@@ -1829,8 +1833,8 @@ class TFXLNetModel: ...@@ -1829,8 +1833,8 @@ class TFXLNetModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class TFXLNetPreTrainedModel: class TFXLNetPreTrainedModel:
...@@ -1838,8 +1842,8 @@ class TFXLNetPreTrainedModel: ...@@ -1838,8 +1842,8 @@ class TFXLNetPreTrainedModel:
requires_backends(self, ["tf"]) requires_backends(self, ["tf"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tf"]) requires_backends(cls, ["tf"])
class AdamWeightDecay: class AdamWeightDecay:
......
src/transformers/utils/dummy_timm_and_vision_objects.py
View file @ 3b1f5caf
...@@ -9,16 +9,24 @@ class DetrForObjectDetection: ...@@ -9,16 +9,24 @@ class DetrForObjectDetection:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm", "vision"]) requires_backends(self, ["timm", "vision"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["timm", "vision"])
class DetrForSegmentation: class DetrForSegmentation:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm", "vision"]) requires_backends(self, ["timm", "vision"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["timm", "vision"])
class DetrModel: class DetrModel:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm", "vision"]) requires_backends(self, ["timm", "vision"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["timm", "vision"]) requires_backends(cls, ["timm", "vision"])
src/transformers/utils/dummy_timm_objects.py
View file @ 3b1f5caf
...@@ -9,16 +9,24 @@ class DetrForObjectDetection: ...@@ -9,16 +9,24 @@ class DetrForObjectDetection:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm"]) requires_backends(self, ["timm"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["timm"])
class DetrForSegmentation: class DetrForSegmentation:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm"]) requires_backends(self, ["timm"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["timm"])
class DetrModel: class DetrModel:
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
requires_backends(self, ["timm"]) requires_backends(self, ["timm"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["timm"]) requires_backends(cls, ["timm"])
src/transformers/utils/dummy_tokenizers_objects.py
View file @ 3b1f5caf
...@@ -7,8 +7,8 @@ class AlbertTokenizerFast: ...@@ -7,8 +7,8 @@ class AlbertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class BartTokenizerFast: class BartTokenizerFast:
...@@ -16,8 +16,8 @@ class BartTokenizerFast: ...@@ -16,8 +16,8 @@ class BartTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class BarthezTokenizerFast: class BarthezTokenizerFast:
...@@ -25,8 +25,8 @@ class BarthezTokenizerFast: ...@@ -25,8 +25,8 @@ class BarthezTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class BertTokenizerFast: class BertTokenizerFast:
...@@ -34,8 +34,8 @@ class BertTokenizerFast: ...@@ -34,8 +34,8 @@ class BertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class BigBirdTokenizerFast: class BigBirdTokenizerFast:
...@@ -43,8 +43,8 @@ class BigBirdTokenizerFast: ...@@ -43,8 +43,8 @@ class BigBirdTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class CamembertTokenizerFast: class CamembertTokenizerFast:
...@@ -52,8 +52,8 @@ class CamembertTokenizerFast: ...@@ -52,8 +52,8 @@ class CamembertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class CLIPTokenizerFast: class CLIPTokenizerFast:
...@@ -61,8 +61,8 @@ class CLIPTokenizerFast: ...@@ -61,8 +61,8 @@ class CLIPTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class ConvBertTokenizerFast: class ConvBertTokenizerFast:
...@@ -70,8 +70,8 @@ class ConvBertTokenizerFast: ...@@ -70,8 +70,8 @@ class ConvBertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class DebertaTokenizerFast: class DebertaTokenizerFast:
...@@ -79,8 +79,8 @@ class DebertaTokenizerFast: ...@@ -79,8 +79,8 @@ class DebertaTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class DistilBertTokenizerFast: class DistilBertTokenizerFast:
...@@ -88,8 +88,8 @@ class DistilBertTokenizerFast: ...@@ -88,8 +88,8 @@ class DistilBertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class DPRContextEncoderTokenizerFast: class DPRContextEncoderTokenizerFast:
...@@ -97,8 +97,8 @@ class DPRContextEncoderTokenizerFast: ...@@ -97,8 +97,8 @@ class DPRContextEncoderTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class DPRQuestionEncoderTokenizerFast: class DPRQuestionEncoderTokenizerFast:
...@@ -106,8 +106,8 @@ class DPRQuestionEncoderTokenizerFast: ...@@ -106,8 +106,8 @@ class DPRQuestionEncoderTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class DPRReaderTokenizerFast: class DPRReaderTokenizerFast:
...@@ -115,8 +115,8 @@ class DPRReaderTokenizerFast: ...@@ -115,8 +115,8 @@ class DPRReaderTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class ElectraTokenizerFast: class ElectraTokenizerFast:
...@@ -124,8 +124,8 @@ class ElectraTokenizerFast: ...@@ -124,8 +124,8 @@ class ElectraTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class FunnelTokenizerFast: class FunnelTokenizerFast:
...@@ -133,8 +133,8 @@ class FunnelTokenizerFast: ...@@ -133,8 +133,8 @@ class FunnelTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class GPT2TokenizerFast: class GPT2TokenizerFast:
...@@ -142,8 +142,8 @@ class GPT2TokenizerFast: ...@@ -142,8 +142,8 @@ class GPT2TokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class HerbertTokenizerFast: class HerbertTokenizerFast:
...@@ -151,8 +151,8 @@ class HerbertTokenizerFast: ...@@ -151,8 +151,8 @@ class HerbertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class LayoutLMTokenizerFast: class LayoutLMTokenizerFast:
...@@ -160,8 +160,8 @@ class LayoutLMTokenizerFast: ...@@ -160,8 +160,8 @@ class LayoutLMTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class LEDTokenizerFast: class LEDTokenizerFast:
...@@ -169,8 +169,8 @@ class LEDTokenizerFast: ...@@ -169,8 +169,8 @@ class LEDTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class LongformerTokenizerFast: class LongformerTokenizerFast:
...@@ -178,8 +178,8 @@ class LongformerTokenizerFast: ...@@ -178,8 +178,8 @@ class LongformerTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class LxmertTokenizerFast: class LxmertTokenizerFast:
...@@ -187,8 +187,8 @@ class LxmertTokenizerFast: ...@@ -187,8 +187,8 @@ class LxmertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class MBart50TokenizerFast: class MBart50TokenizerFast:
...@@ -196,8 +196,8 @@ class MBart50TokenizerFast: ...@@ -196,8 +196,8 @@ class MBart50TokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class MBartTokenizerFast: class MBartTokenizerFast:
...@@ -205,8 +205,8 @@ class MBartTokenizerFast: ...@@ -205,8 +205,8 @@ class MBartTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class MobileBertTokenizerFast: class MobileBertTokenizerFast:
...@@ -214,8 +214,8 @@ class MobileBertTokenizerFast: ...@@ -214,8 +214,8 @@ class MobileBertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class MPNetTokenizerFast: class MPNetTokenizerFast:
...@@ -223,8 +223,8 @@ class MPNetTokenizerFast: ...@@ -223,8 +223,8 @@ class MPNetTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class MT5TokenizerFast: class MT5TokenizerFast:
...@@ -232,8 +232,8 @@ class MT5TokenizerFast: ...@@ -232,8 +232,8 @@ class MT5TokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class OpenAIGPTTokenizerFast: class OpenAIGPTTokenizerFast:
...@@ -241,8 +241,8 @@ class OpenAIGPTTokenizerFast: ...@@ -241,8 +241,8 @@ class OpenAIGPTTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class PegasusTokenizerFast: class PegasusTokenizerFast:
...@@ -250,8 +250,8 @@ class PegasusTokenizerFast: ...@@ -250,8 +250,8 @@ class PegasusTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class ReformerTokenizerFast: class ReformerTokenizerFast:
...@@ -259,8 +259,8 @@ class ReformerTokenizerFast: ...@@ -259,8 +259,8 @@ class ReformerTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class RetriBertTokenizerFast: class RetriBertTokenizerFast:
...@@ -268,8 +268,8 @@ class RetriBertTokenizerFast: ...@@ -268,8 +268,8 @@ class RetriBertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class RobertaTokenizerFast: class RobertaTokenizerFast:
...@@ -277,8 +277,8 @@ class RobertaTokenizerFast: ...@@ -277,8 +277,8 @@ class RobertaTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class RoFormerTokenizerFast: class RoFormerTokenizerFast:
...@@ -286,8 +286,8 @@ class RoFormerTokenizerFast: ...@@ -286,8 +286,8 @@ class RoFormerTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class SqueezeBertTokenizerFast: class SqueezeBertTokenizerFast:
...@@ -295,8 +295,8 @@ class SqueezeBertTokenizerFast: ...@@ -295,8 +295,8 @@ class SqueezeBertTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class T5TokenizerFast: class T5TokenizerFast:
...@@ -304,8 +304,8 @@ class T5TokenizerFast: ...@@ -304,8 +304,8 @@ class T5TokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class XLMRobertaTokenizerFast: class XLMRobertaTokenizerFast:
...@@ -313,8 +313,8 @@ class XLMRobertaTokenizerFast: ...@@ -313,8 +313,8 @@ class XLMRobertaTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class XLNetTokenizerFast: class XLNetTokenizerFast:
...@@ -322,8 +322,8 @@ class XLNetTokenizerFast: ...@@ -322,8 +322,8 @@ class XLNetTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
class PreTrainedTokenizerFast: class PreTrainedTokenizerFast:
...@@ -331,5 +331,5 @@ class PreTrainedTokenizerFast: ...@@ -331,5 +331,5 @@ class PreTrainedTokenizerFast:
requires_backends(self, ["tokenizers"]) requires_backends(self, ["tokenizers"])
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, ["tokenizers"]) requires_backends(cls, ["tokenizers"])
utils/check_dummies.py
View file @ 3b1f5caf
...@@ -39,8 +39,8 @@ class {0}: ...@@ -39,8 +39,8 @@ class {0}:
requires_backends(self, {1}) requires_backends(self, {1})
@classmethod @classmethod
def from_pretrained(self, *args, **kwargs): def from_pretrained(cls, *args, **kwargs):
requires_backends(self, {1}) requires_backends(cls, {1})
""" """
DUMMY_CLASS = """ DUMMY_CLASS = """
...@@ -103,11 +103,14 @@ def read_init(): ...@@ -103,11 +103,14 @@ def read_init():
def create_dummy_object(name, backend_name): def create_dummy_object(name, backend_name):
"""Create the code for the dummy object corresponding to `name`.""" """Create the code for the dummy object corresponding to `name`."""
_pretrained = [ _pretrained = [
"Config" "ForCausalLM", "Config",
"ForCausalLM",
"ForConditionalGeneration", "ForConditionalGeneration",
"ForMaskedLM", "ForMaskedLM",
"ForMultipleChoice", "ForMultipleChoice",
"ForObjectDetection",
"ForQuestionAnswering", "ForQuestionAnswering",
"ForSegmentation",
"ForSequenceClassification", "ForSequenceClassification",
"ForTokenClassification", "ForTokenClassification",
"Model", "Model",
......
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