




import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer







def SCREAMING_SNAKE_CASE       ( lowercase_				,       lowercase_				,       **lowercase_		)     -> Tuple:



       """simple docstring"""

       A__   				=					AutoConfig.from_pretrained(lowercase_				,       **lowercase_		)
       A__   				=					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 __future__ import annotations

import numpy as np







def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> List[Any]:



       """simple docstring"""

       return np.maximum(0				,       lowercase_		)


if __name__ == "__main__":
  print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


