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