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from ..utils import DummyObject, requires_backends |
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class FlaxForcedBOSTokenLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxForcedEOSTokenLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxForceTokensLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxGenerationMixin(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxLogitsProcessorList(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxLogitsWarper(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxMinLengthLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxSuppressTokensAtBeginLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxSuppressTokensLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxTemperatureLogitsWarper(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxTopKLogitsWarper(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxTopPLogitsWarper(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxWhisperTimeStampLogitsProcessor(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForPreTraining(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertForTokenClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAlbertPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING = None |
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FLAX_MODEL_FOR_CAUSAL_LM_MAPPING = None |
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FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING = None |
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FLAX_MODEL_FOR_MASKED_LM_MAPPING = None |
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FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None |
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FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None |
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FLAX_MODEL_FOR_PRETRAINING_MAPPING = None |
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FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING = None |
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FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING = None |
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FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None |
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FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING = None |
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FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None |
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FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING = None |
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FLAX_MODEL_MAPPING = None |
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class FlaxAutoModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForImageClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForNextSentencePrediction(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForPreTraining(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForSeq2SeqLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForSpeechSeq2Seq(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForTokenClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxAutoModelForVision2Seq(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartDecoderPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartForConditionalGeneration(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBartPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBeitForImageClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBeitForMaskedImageModeling(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBeitModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBeitPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForNextSentencePrediction(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForPreTraining(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertForTokenClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBertPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForPreTraining(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdForTokenClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBigBirdPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotForConditionalGeneration(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotSmallForConditionalGeneration(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotSmallModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBlenderbotSmallPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBloomForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBloomModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxBloomPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPTextModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPTextModelWithProjection(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPTextPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPVisionModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxCLIPVisionPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxDistilBertForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxDistilBertForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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|
|
class FlaxDistilBertForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxDistilBertForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxDistilBertForTokenClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxDistilBertModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxDistilBertPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForMaskedLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForMultipleChoice(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForPreTraining(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraForTokenClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxElectraPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxEncoderDecoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPT2LMHeadModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPT2Model(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPT2PreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTNeoForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTNeoModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTNeoPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTJForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTJModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxGPTJPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxLongT5ForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxLongT5Model(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxLongT5PreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMarianModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMarianMTModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMarianPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMBartForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMBartForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMBartForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMBartModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMBartPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMT5EncoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMT5ForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxMT5Model(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxOPTForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxOPTModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxOPTPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxPegasusForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxPegasusModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxPegasusPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRegNetForImageClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRegNetModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRegNetPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxResNetForImageClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxResNetModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxResNetPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForMaskedLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForMultipleChoice(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaForTokenClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForCausalLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForMaskedLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForMultipleChoice(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormForTokenClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRobertaPreLayerNormPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerForMaskedLM(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerForMultipleChoice(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerForQuestionAnswering(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerForSequenceClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerForTokenClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxRoFormerPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxSpeechEncoderDecoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxT5EncoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxT5ForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxT5Model(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxT5PreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxVisionEncoderDecoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxVisionTextDualEncoderModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxViTForImageClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxViTModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxViTPreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWav2Vec2ForCTC(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWav2Vec2ForPreTraining(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWav2Vec2Model(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWav2Vec2PreTrainedModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWhisperForAudioClassification(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWhisperForConditionalGeneration(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWhisperModel(metaclass=DummyObject): |
|
_backends = ["flax"] |
|
|
|
def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
|
|
|
|
|
class FlaxWhisperPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXGLMForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXGLMModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXGLMPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST = None |
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class FlaxXLMRobertaForCausalLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaForMaskedLM(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaForMultipleChoice(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaForQuestionAnswering(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaForSequenceClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaForTokenClassification(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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|
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|
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class FlaxXLMRobertaModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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|
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def __init__(self, *args, **kwargs): |
|
requires_backends(self, ["flax"]) |
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class FlaxXLMRobertaPreTrainedModel(metaclass=DummyObject): |
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_backends = ["flax"] |
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def __init__(self, *args, **kwargs): |
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requires_backends(self, ["flax"]) |
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|
