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dummy_tf_objects.py 51.3 KB
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# This file is autogenerated by the command `make fix-copies`, do not edit.
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from ..file_utils import requires_backends
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class TensorFlowBenchmarkArguments:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TensorFlowBenchmark:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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def tf_top_k_top_p_filtering(*args, **kwargs):
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    requires_backends(tf_top_k_top_p_filtering, ["tf"])
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TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFLayoutLMForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLayoutLMForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLayoutLMForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLayoutLMMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFLayoutLMModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLayoutLMPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFSequenceSummary:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFSharedEmbeddings:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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def shape_list(*args, **kwargs):
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    requires_backends(shape_list, ["tf"])
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TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFAlbertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFAlbertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFAlbertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAlbertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_MODEL_FOR_CAUSAL_LM_MAPPING = None


TF_MODEL_FOR_MASKED_LM_MAPPING = None


TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None


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TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None


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TF_MODEL_FOR_PRETRAINING_MAPPING = None


TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING = None


TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None


TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None


TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None


TF_MODEL_MAPPING = None


TF_MODEL_WITH_LM_HEAD_MAPPING = None


class TFAutoModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForCausalLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForSeq2SeqLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFAutoModelWithLMHead:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBartForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBartModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBartPretrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFBertEmbeddings:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFBertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertForNextSentencePrediction:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFBertForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFBertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFBertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBlenderbotForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBlenderbotModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBlenderbotPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFBlenderbotSmallForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBlenderbotSmallModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFBlenderbotSmallPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFCamembertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCamembertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCamembertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCamembertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCamembertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCamembertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFConvBertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFConvBertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFConvBertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class TFCTRLForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCTRLLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCTRLModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFCTRLPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFDebertaForMaskedLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaForQuestionAnswering:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaForSequenceClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaForTokenClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


Kamal Raj's avatar
Kamal Raj committed
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TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFDebertaV2ForMaskedLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaV2ForQuestionAnswering:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaV2ForSequenceClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaV2ForTokenClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaV2Model:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFDebertaV2PreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFDistilBertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFDistilBertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFDistilBertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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Ratthachat (Jung)'s avatar
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TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None


TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None


TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFDPRContextEncoder:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
Ratthachat (Jung)'s avatar
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class TFDPRPretrainedContextEncoder:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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Ratthachat (Jung) committed
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class TFDPRPretrainedQuestionEncoder:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
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class TFDPRPretrainedReader:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
Ratthachat (Jung)'s avatar
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class TFDPRQuestionEncoder:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFDPRReader:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFElectraForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFElectraForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFElectraPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFEncoderDecoderModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFFlaubertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFlaubertForQuestionAnsweringSimple:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFlaubertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFlaubertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFlaubertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFlaubertPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFFlaubertWithLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFFunnelBaseModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFFunnelForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFFunnelPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFGPT2DoubleHeadsModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFGPT2ForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFGPT2LMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFGPT2MainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFGPT2Model:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFGPT2PreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFHubertForCTC:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])


class TFHubertModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFHubertPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


Patrick von Platen's avatar
Patrick von Platen committed
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class TFLEDForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
Patrick von Platen's avatar
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLEDModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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Patrick von Platen committed
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class TFLEDPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
Patrick von Platen's avatar
Patrick von Platen committed
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFLongformerForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLongformerPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFLongformerSelfAttention:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFLxmertForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFLxmertMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFLxmertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLxmertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFLxmertVisualFeatureEncoder:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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Sylvain Gugger's avatar
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class TFMarianModel:
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMarianMTModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMarianPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFMBartForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMBartModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMBartPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFMobileBertForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertForNextSentencePrediction:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFMobileBertForPreTraining:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFMobileBertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFMobileBertModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMobileBertPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFMPNetForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFMPNetModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMPNetPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMT5EncoderModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMT5ForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFMT5Model:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFOpenAIGPTDoubleHeadsModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFOpenAIGPTForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFOpenAIGPTLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFOpenAIGPTMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFOpenAIGPTModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFOpenAIGPTPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFPegasusForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFPegasusModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFPegasusPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFRagModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRagPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFRagSequenceForGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFRagTokenForGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFRemBertForCausalLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertForMaskedLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertForMultipleChoice:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertForQuestionAnswering:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertForSequenceClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertForTokenClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertLayer:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])


class TFRemBertModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFRemBertPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class TFRobertaForCausalLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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class TFRobertaForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFRobertaModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRobertaPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFRoFormerForCausalLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

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    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])

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class TFRoFormerForMaskedLM:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerForMultipleChoice:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerForQuestionAnswering:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerForSequenceClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerForTokenClassification:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerLayer:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])


class TFRoFormerModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFRoFormerPreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class TFT5EncoderModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFT5ForConditionalGeneration:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFT5Model:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFT5PreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFAdaptiveEmbedding:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFTransfoXLForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFTransfoXLLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFTransfoXLMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFTransfoXLModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFTransfoXLPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFWav2Vec2ForCTC:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])


class TFWav2Vec2Model:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


class TFWav2Vec2PreTrainedModel:
    def __init__(self, *args, **kwargs):
        requires_backends(self, ["tf"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])


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TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFXLMForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMForQuestionAnsweringSimple:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFXLMModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMWithLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFXLMRobertaForMaskedLM:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMRobertaForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMRobertaForQuestionAnswering:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMRobertaForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMRobertaForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLMRobertaModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TFXLNetForMultipleChoice:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetForQuestionAnsweringSimple:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetForSequenceClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetForTokenClassification:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetLMHeadModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetMainLayer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class TFXLNetModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class TFXLNetPreTrainedModel:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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    @classmethod
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    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["tf"])
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class AdamWeightDecay:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class GradientAccumulator:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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class WarmUp:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])
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def create_optimizer(*args, **kwargs):
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    requires_backends(create_optimizer, ["tf"])
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class TFTrainer:
    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["tf"])