





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__   : Optional[Any]					  = {
    """configuration_mobilevit""": ["""MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MobileViTConfig""", """MobileViTOnnxConfig"""],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__   : str					  = ["""MobileViTFeatureExtractor"""]
				UpperCamelCase__   : Optional[Any]					  = ["""MobileViTImageProcessor"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__   : Dict					  = [
				    """MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """MobileViTForImageClassification""",
				    """MobileViTForSemanticSegmentation""",
				    """MobileViTModel""",
				    """MobileViTPreTrainedModel""",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__   : Union[str, Any]					  = [
				    """TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """TFMobileViTForImageClassification""",
				    """TFMobileViTForSemanticSegmentation""",
				    """TFMobileViTModel""",
				    """TFMobileViTPreTrainedModel""",
				]

if TYPE_CHECKING:
				from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_mobilevit import MobileViTFeatureExtractor
								from .image_processing_mobilevit import MobileViTImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mobilevit import (
								    MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MobileViTForImageClassification,
								    MobileViTForSemanticSegmentation,
								    MobileViTModel,
								    MobileViTPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_mobilevit import (
								    TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFMobileViTForImageClassification,
								    TFMobileViTForSemanticSegmentation,
								    TFMobileViTModel,
								    TFMobileViTPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase__   : Union[str, Any]					  = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def    A_(			A				,      A				,      **A   ):
	UpperCAmelCase_								=     AutoConfig.from_pretrained(A				,      **A   )
	UpperCAmelCase_								=     AutoModelForSeqaSeqLM.from_config(A   )
	model.save_pretrained(A   )
	AutoTokenizer.from_pretrained(A   ).save_pretrained(A   )
	return model


if __name__ == "__main__":
				fire.Fire(save_randomly_initialized_version)


