
import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer


def 						UpperCAmelCase      (     a_		,       a_		,       **a_						)		->     Tuple:







				"""simple docstring"""



				__A             =			AutoConfig.from_pretrained(a_		,       **a_						)
				__A             =			AutoModelForSeqaSeqLM.from_config(a_						)
				model.save_pretrained(a_						)
				AutoTokenizer.from_pretrained(a_						).save_pretrained(a_						)
				return model


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


import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


SCREAMING_SNAKE_CASE							:Any										=    logging.get_logger(__name__)





class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	def __init__(	self :			int							,*A :			Dict							,**A :			Dict			):
					warnings.warn(
					    "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
					    " use CLIPImageProcessor instead."							,A							,)
					super().__init__(*A							,**A			)
