
from string import ascii_lowercase, ascii_uppercase




def 	A_ (							snake_case							:   str )      ->    str:



						'''simple docstring'''

						if not sentence:
												return ""
						__UpperCamelCase       =			dict(zip(snake_case ,      snake_case ) )
						return lower_to_upper.get(sentence[0] ,      sentence[0] ) + sentence[1:]


if __name__ == "__main__":
				from doctest import testmod

				testmod()






import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def 	A_ (							snake_case							:   str ,      snake_case							:   str ,      **snake_case							:   List[str] )      ->    Dict:



						'''simple docstring'''

						__UpperCamelCase       =			AutoConfig.from_pretrained(snake_case ,      **snake_case )
						__UpperCamelCase       =			AutoModelForSeqaSeqLM.from_config(snake_case )
						model.save_pretrained(snake_case )
						AutoTokenizer.from_pretrained(snake_case ).save_pretrained(snake_case )
						return model


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




