import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def       _snake_case	(   lowerCAmelCase							:   str   , lowerCAmelCase							:   str   , **lowerCAmelCase							:   Union[str, Any]	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    AutoConfig.from_pretrained(lowerCAmelCase   , **lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    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 		_lowercase (     lowercase__						):
      if not all(x.isalpha() for x in string						):
            raise ValueError('''String must only contain alphabetic characters.'''						)

      __lowerCAmelCase					:						int					=					sorted(string.lower()						)
      return len(lowercase__						) == len(set(lowercase__						)						)


if __name__ == "__main__":
 _UpperCamelCase 			=		input("Enter a string ").strip()

 _UpperCamelCase 			=		is_isogram(input_str)
 print(F"{input_str} is {'an' if isogram else 'not an'} isogram.")


