

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer

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


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







def 		UpperCamelCase      (lowercase_:				str					,   lowercase_:				str      )  ->   bool:
	A__							:					Union[str, Any]       =	len(lowercase_      )
	A__							:					List[Any]       =	len(lowercase_      )
	A__							:					List[Any]       =	[[False for _ in range(m + 1      )] for _ in range(n + 1      )]
	A__							:					str       =	True
	for i in range(lowercase_      ):
		for j in range(m + 1      ):
			if dp[i][j]:
				if j < m and a[i].upper() == b[j]:
					A__							:					int       =	True
				if a[i].islower():
					A__							:					Dict       =	True
	return dp[n][m]


if __name__ == "__main__":
	import doctest

	doctest.testmod()



