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dummy_pt_objects.py 135 KB
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# This file is autogenerated by the command `make fix-copies`, do not edit.
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# flake8: noqa
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from ..utils import DummyObject, requires_backends
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class PyTorchBenchmark(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PyTorchBenchmarkArguments(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GlueDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GlueDataTrainingArguments(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LineByLineTextDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LineByLineWithRefDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LineByLineWithSOPTextDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SquadDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SquadDataTrainingArguments(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TextDataset(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TextDatasetForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Constraint(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ConstraintListState(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class DisjunctiveConstraint(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PhrasalConstraint(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BeamScorer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BeamSearchScorer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConstrainedBeamSearchScorer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ForcedBOSTokenLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ForcedEOSTokenLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class HammingDiversityLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class InfNanRemoveLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LogitsProcessorList(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LogitsWarper(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MinLengthLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class NoBadWordsLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class NoRepeatNGramLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PrefixConstrainedLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class RepetitionPenaltyLogitsProcessor(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TemperatureLogitsWarper(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TopKLogitsWarper(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TopPLogitsWarper(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TypicalLogitsWarper(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class MaxLengthCriteria(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MaxTimeCriteria(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class StoppingCriteria(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class StoppingCriteriaList(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def top_k_top_p_filtering(*args, **kwargs):
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    requires_backends(top_k_top_p_filtering, ["torch"])
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class PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class AlbertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AlbertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_albert(*args, **kwargs):
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    requires_backends(load_tf_weights_in_albert, ["torch"])
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MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING = None


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MODEL_FOR_AUDIO_XVECTOR_MAPPING = None


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MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING = None


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MODEL_FOR_CAUSAL_LM_MAPPING = None


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MODEL_FOR_CTC_MAPPING = None


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MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING = None


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MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING = None


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MODEL_FOR_IMAGE_SEGMENTATION_MAPPING = None


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MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING = None


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MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING = None


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MODEL_FOR_MASKED_LM_MAPPING = None


MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None


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MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None


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MODEL_FOR_OBJECT_DETECTION_MAPPING = None


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MODEL_FOR_PRETRAINING_MAPPING = None


MODEL_FOR_QUESTION_ANSWERING_MAPPING = None


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MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING = None


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MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None


MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None


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MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING = None


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MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING = None


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MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None


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MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING = None


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MODEL_FOR_VISION_2_SEQ_MAPPING = None


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MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING = None


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MODEL_MAPPING = None


MODEL_WITH_LM_HEAD_MAPPING = None


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class AutoModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForAudioClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForAudioXVector(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForCTC(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForDocumentQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForImageSegmentation(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForInstanceSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForObjectDetection(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForSeq2SeqLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForSpeechSeq2Seq(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForTableQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AutoModelForVideoClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelForVision2Seq(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class AutoModelForVisualQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class AutoModelWithLMHead(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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BART_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BartForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BartForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BartForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BartForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BartModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BartPretrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PretrainedBartModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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BEIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BeitForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BeitForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BeitForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BeitModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BeitPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_bert(*args, **kwargs):
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    requires_backends(load_tf_weights_in_bert, ["torch"])
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class BertGenerationDecoder(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BertGenerationEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BertGenerationPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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def load_tf_weights_in_bert_generation(*args, **kwargs):
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    requires_backends(load_tf_weights_in_bert_generation, ["torch"])
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BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BigBirdForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BigBirdPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_big_bird(*args, **kwargs):
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    requires_backends(load_tf_weights_in_big_bird, ["torch"])
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BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BigBirdPegasusForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BigBirdPegasusForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BigBirdPegasusForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BigBirdPegasusForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BigBirdPegasusModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class BigBirdPegasusPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BlenderbotForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class BlenderbotSmallForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotSmallForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotSmallModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class BlenderbotSmallPreTrainedModel(metaclass=DummyObject):
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    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class BloomForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BloomForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BloomForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class BloomForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class BloomModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class BloomPreTrainedModel(metaclass=DummyObject):
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    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class CamembertForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CamembertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class CamembertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])


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CANINE_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class CanineForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CanineForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CanineForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CanineForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CanineLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class CanineModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CaninePreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_canine(*args, **kwargs):
    requires_backends(load_tf_weights_in_canine, ["torch"])


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CLIP_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class CLIPModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CLIPPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CLIPTextModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class CLIPVisionModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class CodeGenForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class CodeGenModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class CodeGenPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ConvBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ConvBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_convbert(*args, **kwargs):
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    requires_backends(load_tf_weights_in_convbert, ["torch"])
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CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ConvNextForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ConvNextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ConvNextPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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CTRL_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class CTRLForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CTRLLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CTRLModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class CTRLPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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CVT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class CvtForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class CvtModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class CvtPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST = None


DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class Data2VecAudioForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecAudioForCTC(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecAudioForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecAudioForXVector(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecAudioModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecAudioPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecTextPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class Data2VecVisionForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecVisionForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecVisionModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Data2VecVisionPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class DebertaForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class DebertaV2ForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaV2ForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class DebertaV2ForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaV2ForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaV2ForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaV2Model(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DebertaV2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class DecisionTransformerGPT2Model(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DecisionTransformerGPT2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DecisionTransformerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DecisionTransformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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DEIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class DeiTForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class DeiTForImageClassificationWithTeacher(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class DeiTForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class DeiTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DeiTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class DistilBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DistilBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class DonutSwinModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DonutSwinPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None


DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST = None


DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class DPRContextEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DPRPretrainedContextEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DPRPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class DPRPretrainedQuestionEncoder(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DPRPretrainedReader(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DPRQuestionEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class DPRReader(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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DPT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class DPTForDepthEstimation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DPTForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DPTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class DPTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ElectraForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ElectraForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ElectraPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_electra(*args, **kwargs):
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    requires_backends(load_tf_weights_in_electra, ["torch"])
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class EncoderDecoderModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ErnieForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErnieModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ErniePreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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ESM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class EsmForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class EsmForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class EsmForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class EsmModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class EsmPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class FlaubertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertForQuestionAnsweringSimple(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FlaubertWithLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST = None


class FlavaForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaImageCodebook(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaImageModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaMultimodalModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class FlavaTextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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FNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class FNetForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class FNetForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class FNetModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class FSMTForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FSMTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PretrainedFSMTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class FunnelBaseModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class FunnelPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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def load_tf_weights_in_funnel(*args, **kwargs):
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    requires_backends(load_tf_weights_in_funnel, ["torch"])
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GLPN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class GLPNForDepthEstimation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GLPNModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GLPNPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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GPT2_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class GPT2DoubleHeadsModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPT2ForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPT2ForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class GPT2LMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPT2Model(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPT2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_gpt2(*args, **kwargs):
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    requires_backends(load_tf_weights_in_gpt2, ["torch"])
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GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class GPTNeoForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPTNeoForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class GPTNeoModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class GPTNeoPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_gpt_neo(*args, **kwargs):
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    requires_backends(load_tf_weights_in_gpt_neo, ["torch"])
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GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST = None


class GPTNeoXForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXLayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST = None


class GPTNeoXJapaneseForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXJapaneseLayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXJapaneseModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GPTNeoXJapanesePreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class GPTJForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class GPTJForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class GPTJForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class GPTJModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class GPTJPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class GroupViTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GroupViTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GroupViTTextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class GroupViTVisionModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class HubertForCTC(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class HubertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class HubertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class HubertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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IBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class IBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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Sehoon Kim committed
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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Sehoon Kim committed
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class IBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ImageGPTForCausalImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ImageGPTForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ImageGPTModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ImageGPTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_imagegpt(*args, **kwargs):
    requires_backends(load_tf_weights_in_imagegpt, ["torch"])


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LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class LayoutLMForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LayoutLMForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class LayoutLMForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LayoutLMForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LayoutLMModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LayoutLMPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class LayoutLMv2ForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LayoutLMv2ForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LayoutLMv2ForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LayoutLMv2Model(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LayoutLMv2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST = None


class LayoutLMv3ForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LayoutLMv3ForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LayoutLMv3ForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LayoutLMv3Model(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LayoutLMv3PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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LED_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class LEDForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LEDForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LEDForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LEDModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LEDPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class LevitForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LevitForImageClassificationWithTeacher(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LevitModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LevitPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class LongformerForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LongformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LongformerSelfAttention(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Daniel Stancl committed
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LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST = None


class LongT5EncoderModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LongT5ForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LongT5Model(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LongT5PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


NielsRogge's avatar
NielsRogge committed
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LUKE_PRETRAINED_MODEL_ARCHIVE_LIST = None


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Sylvain Gugger committed
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class LukeForEntityClassification(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class LukeForEntityPairClassification(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class LukeForEntitySpanClassification(metaclass=DummyObject):
    _backends = ["torch"]

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NielsRogge committed
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
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Ryokan RI committed
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class LukeForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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Ryokan RI committed
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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NielsRogge committed
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class LukeForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LukeForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LukeForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class LukeForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


Sylvain Gugger's avatar
Sylvain Gugger committed
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class LukeModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LukePreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class LxmertEncoder(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertVisualFeatureEncoder(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class LxmertXLayer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Suraj Patil's avatar
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M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class M2M100ForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

Suraj Patil's avatar
Suraj Patil committed
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Suraj Patil committed
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class M2M100Model(metaclass=DummyObject):
    _backends = ["torch"]
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Suraj Patil committed
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Suraj Patil committed
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Sylvain Gugger committed
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class M2M100PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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Suraj Patil committed
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger committed
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class MarianForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MarianModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MarianMTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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NielsRogge's avatar
NielsRogge committed
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MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class MarkupLMForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MarkupLMForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MarkupLMForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MarkupLMModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MarkupLMPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class MaskFormerForInstanceSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MaskFormerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MaskFormerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class MBartForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MBartForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MBartForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MBartForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MBartModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MBartPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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Chan Woo Kim committed
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MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class MCTCTForCTC(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MCTCTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MCTCTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class MegatronBertForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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Sylvain Gugger committed
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class MegatronBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger committed
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class MegatronBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MegatronBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class MMBTForClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MMBTModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ModalEmbeddings(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class MobileBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MobileBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_mobilebert(*args, **kwargs):
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    requires_backends(load_tf_weights_in_mobilebert, ["torch"])
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MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class MobileViTForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MobileViTForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MobileViTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MobileViTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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MPNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class MPNetForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MPNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MT5EncoderModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MT5ForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class MT5Model(metaclass=DummyObject):
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    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


MVP_PRETRAINED_MODEL_ARCHIVE_LIST = None


class MvpForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MvpForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MvpForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MvpForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MvpModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class MvpPreTrainedModel(metaclass=DummyObject):
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    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST = None


class NezhaForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class NezhaPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class NystromformerForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class NystromformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
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OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class OpenAIGPTDoubleHeadsModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class OpenAIGPTForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class OpenAIGPTLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class OpenAIGPTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class OpenAIGPTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_openai_gpt(*args, **kwargs):
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    requires_backends(load_tf_weights_in_openai_gpt, ["torch"])
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OPT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class OPTForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class OPTForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class OPTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class OPTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class OwlViTForObjectDetection(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class OwlViTModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class OwlViTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class OwlViTTextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class OwlViTVisionModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PegasusForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PegasusForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PegasusModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class PegasusPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST = None


class PegasusXForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PegasusXModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PegasusXPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class PerceiverForImageClassificationConvProcessing(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForImageClassificationFourier(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForImageClassificationLearned(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForMultimodalAutoencoding(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForOpticalFlow(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverLayer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class PerceiverPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])


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PLBART_PRETRAINED_MODEL_ARCHIVE_LIST = None


class PLBartForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PLBartForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PLBartForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PLBartModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PLBartPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class PoolFormerForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PoolFormerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class PoolFormerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ProphetNetDecoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
3960
        requires_backends(self, ["torch"])
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class ProphetNetEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
3967
        requires_backends(self, ["torch"])
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class ProphetNetForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
3974
        requires_backends(self, ["torch"])
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class ProphetNetForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ProphetNetModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ProphetNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class QDQBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertForNextSentencePrediction(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertLayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class QDQBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_qdqbert(*args, **kwargs):
    requires_backends(load_tf_weights_in_qdqbert, ["torch"])


Sylvain Gugger's avatar
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class RagModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class RagPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
Sylvain Gugger committed
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class RagSequenceForGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class RagTokenForGeneration(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
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REALM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class RealmEmbedder(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmForOpenQA(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmKnowledgeAugEncoder(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmReader(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmRetriever(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RealmScorer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_realm(*args, **kwargs):
    requires_backends(load_tf_weights_in_realm, ["torch"])


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REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ReformerAttention(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
Sylvain Gugger committed
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class ReformerForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
4173
        requires_backends(self, ["torch"])
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Sylvain Gugger committed
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class ReformerForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger committed
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class ReformerForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
4187
        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
Sylvain Gugger committed
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class ReformerLayer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ReformerModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ReformerModelWithLMHead(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ReformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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Francesco Saverio Zuppichini committed
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REGNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


class RegNetForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RegNetModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class RegNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class RemBertForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
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class RemBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
Sylvain Gugger committed
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4260
class RemBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
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class RemBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RemBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
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class RemBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RemBertLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class RemBertModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RemBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_rembert(*args, **kwargs):
    requires_backends(load_tf_weights_in_rembert, ["torch"])


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RESNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ResNetForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ResNetModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ResNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class RetriBertModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class RetriBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class RobertaForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
Sylvain Gugger committed
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class RobertaForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
Sylvain Gugger committed
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class RobertaForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger committed
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class RobertaForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
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class RobertaForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
Sylvain Gugger committed
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class RobertaForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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Sylvain Gugger's avatar
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class RobertaModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


Sylvain Gugger's avatar
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class RobertaPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class RoFormerForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
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class RoFormerForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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Sylvain Gugger's avatar
Sylvain Gugger committed
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class RoFormerForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RoFormerForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RoFormerForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RoFormerForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RoFormerLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class RoFormerModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class RoFormerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def load_tf_weights_in_roformer(*args, **kwargs):
    requires_backends(load_tf_weights_in_roformer, ["torch"])


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SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class SegformerDecodeHead(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SegformerForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SegformerForSemanticSegmentation(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SegformerLayer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SegformerModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SegformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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SEW_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class SEWForCTC(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SEWForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SEWModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SEWPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class SEWDForCTC(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SEWDForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SEWDModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SEWDPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SpeechEncoderDecoderModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class Speech2TextForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Speech2TextModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Speech2TextPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class Speech2Text2ForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class Speech2Text2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class SplinterForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SplinterForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SplinterLayer(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SplinterModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class SplinterPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class SqueezeBertForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertModule(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class SqueezeBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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SWIN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class SwinForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


NielsRogge's avatar
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class SwinForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class SwinModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class SwinPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
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SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST = None


class Swinv2ForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Swinv2ForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Swinv2Model(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Swinv2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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T5_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class T5EncoderModel(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class T5ForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class T5Model(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class T5PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_t5(*args, **kwargs):
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    requires_backends(load_tf_weights_in_t5, ["torch"])
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TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TimeSeriesTransformerForPrediction(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class TimeSeriesTransformerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class TimeSeriesTransformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class TrajectoryTransformerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class TrajectoryTransformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class AdaptiveEmbedding(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
4876
        requires_backends(self, ["torch"])
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class TransfoXLForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TransfoXLLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TransfoXLModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class TransfoXLPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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def load_tf_weights_in_transfo_xl(*args, **kwargs):
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    requires_backends(load_tf_weights_in_transfo_xl, ["torch"])
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TROCR_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class TrOCRForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class TrOCRPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class UniSpeechForCTC(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class UniSpeechForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class UniSpeechForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class UniSpeechModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class UniSpeechPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class UniSpeechSatForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class UniSpeechSatForCTC(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class UniSpeechSatForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class UniSpeechSatForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class UniSpeechSatForXVector(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class UniSpeechSatModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class UniSpeechSatPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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VAN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class VanForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class VanModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class VanPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST = None


class VideoMAEForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class VideoMAEForVideoClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class VideoMAEModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class VideoMAEPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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VILT_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ViltForImageAndTextRetrieval(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViltForImagesAndTextClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViltForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViltForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ViltForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class ViltLayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViltModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViltPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisionEncoderDecoderModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisionTextDualEncoderModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])


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VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class VisualBertForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class VisualBertForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisualBertForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class VisualBertForRegionToPhraseAlignment(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisualBertForVisualReasoning(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisualBertLayer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class VisualBertModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class VisualBertPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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VIT_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class ViTForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ViTForMaskedImageModeling(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
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class ViTModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class ViTPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ViTMAEForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViTMAELayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViTMAEModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViTMAEPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST = None


class ViTMSNForImageClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViTMSNModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class ViTMSNPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class Wav2Vec2ForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Wav2Vec2ForCTC(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Wav2Vec2ForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])
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class Wav2Vec2ForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

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class Wav2Vec2ForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class Wav2Vec2ForXVector(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Wav2Vec2Model(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class Wav2Vec2PreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST = None


class Wav2Vec2ConformerForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerForCTC(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerForPreTraining(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerForXVector(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class Wav2Vec2ConformerPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class WavLMForAudioFrameClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class WavLMForCTC(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class WavLMForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class WavLMForXVector(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class WavLMModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class WavLMPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])


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XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST = None


class XCLIPModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XCLIPPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XCLIPTextModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XCLIPVisionModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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XGLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


class XGLMForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XGLMModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XGLMPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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XLM_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class XLMForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMForQuestionAnsweringSimple(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMWithLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class XLMProphetNetDecoder(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMProphetNetEncoder(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMProphetNetForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMProphetNetForConditionalGeneration(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMProphetNetModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])

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XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class XLMRobertaForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLMRobertaModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST = None


class XLMRobertaXLForCausalLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class XLMRobertaXLPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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XLNET_PRETRAINED_MODEL_ARCHIVE_LIST = None


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class XLNetForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetForQuestionAnsweringSimple(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetLMHeadModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class XLNetPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]
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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def load_tf_weights_in_xlnet(*args, **kwargs):
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    requires_backends(load_tf_weights_in_xlnet, ["torch"])
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YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST = None


class YolosForObjectDetection(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YolosModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YolosPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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YOSO_PRETRAINED_MODEL_ARCHIVE_LIST = None


class YosoForMaskedLM(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoForMultipleChoice(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoForQuestionAnswering(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoForSequenceClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoForTokenClassification(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoLayer(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


class YosoPreTrainedModel(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


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class Adafactor(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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class AdamW(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def get_constant_schedule(*args, **kwargs):
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    requires_backends(get_constant_schedule, ["torch"])
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def get_constant_schedule_with_warmup(*args, **kwargs):
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    requires_backends(get_constant_schedule_with_warmup, ["torch"])
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def get_cosine_schedule_with_warmup(*args, **kwargs):
5879
    requires_backends(get_cosine_schedule_with_warmup, ["torch"])
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def get_cosine_with_hard_restarts_schedule_with_warmup(*args, **kwargs):
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    requires_backends(get_cosine_with_hard_restarts_schedule_with_warmup, ["torch"])
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def get_linear_schedule_with_warmup(*args, **kwargs):
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    requires_backends(get_linear_schedule_with_warmup, ["torch"])
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def get_polynomial_decay_schedule_with_warmup(*args, **kwargs):
5891
    requires_backends(get_polynomial_decay_schedule_with_warmup, ["torch"])
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def get_scheduler(*args, **kwargs):
5895
    requires_backends(get_scheduler, ["torch"])
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class Conv1D(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])


def apply_chunking_to_forward(*args, **kwargs):
    requires_backends(apply_chunking_to_forward, ["torch"])


def prune_layer(*args, **kwargs):
    requires_backends(prune_layer, ["torch"])


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class Trainer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])
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def torch_distributed_zero_first(*args, **kwargs):
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    requires_backends(torch_distributed_zero_first, ["torch"])
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class Seq2SeqTrainer(metaclass=DummyObject):
    _backends = ["torch"]

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    def __init__(self, *args, **kwargs):
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        requires_backends(self, ["torch"])