

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer

def 		UpperCamelCase      (lowercase_:				str					,   lowercase_:				str					,   **lowercase_:				str      )  ->   Optional[int]:
	A__							:					str       =	AutoConfig.from_pretrained(lowercase_					,   **lowercase_      )
	A__							:					List[str]       =	AutoModelForSeqaSeqLM.from_config(lowercase_      )
	model.save_pretrained(lowercase_      )
	AutoTokenizer.from_pretrained(lowercase_      ).save_pretrained(lowercase_      )
	return model


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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A_ :				Optional[Any]						 =    {}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_ :				str						 =    ['BartphoTokenizer']

if TYPE_CHECKING:
	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_bartpho import BartphoTokenizer

else:
	import sys

	A_ :				Optional[int]						 =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



