


from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case       :					str        =  logging.get_logger(__name__)

snake_case       :					Any        =  {
    '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}







class 	_snake_case						(   _snake_case							):
 SCREAMING_SNAKE_CASE__   = 'qdqbert'




 def __init__(	self      ,						_lowerCamelCase=3_0522      ,						_lowerCamelCase=768      ,						_lowerCamelCase=12      ,						_lowerCamelCase=12      ,						_lowerCamelCase=3072      ,						_lowerCamelCase="gelu"      ,						_lowerCamelCase=0.1      ,						_lowerCamelCase=0.1      ,						_lowerCamelCase=512      ,						_lowerCamelCase=2      ,						_lowerCamelCase=0.02      ,						_lowerCamelCase=1e-12      ,						_lowerCamelCase=True      ,						_lowerCamelCase=1      ,						_lowerCamelCase=0      ,						_lowerCamelCase=2      ,						**_lowerCamelCase      ,						):
       super().__init__(pad_token_id=_lowerCamelCase      ,						bos_token_id=_lowerCamelCase      ,						eos_token_id=_lowerCamelCase      ,						**_lowerCamelCase					)

       a		:int											= vocab_size
       a		:Dict											= max_position_embeddings
       a		:List[Any]											= hidden_size
       a		:Tuple											= num_hidden_layers
       a		:Any											= num_attention_heads
       a		:str											= intermediate_size
       a		:int											= hidden_act
       a		:int											= hidden_dropout_prob
       a		:Tuple											= attention_probs_dropout_prob
       a		:str											= initializer_range
       a		:Dict											= type_vocab_size
       a		:List[str]											= layer_norm_eps
       a		:List[str]											= use_cache









import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


snake_case       :					Tuple        =  logging.get_logger(__name__)







class 	_snake_case						(   _snake_case							):




 def __init__(	self      ,						*_lowerCamelCase      ,						**_lowerCamelCase					):
       warnings.warn(
           '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use ConvNextImageProcessor instead.'''      ,						_lowerCamelCase      ,						)
       super().__init__(*_lowerCamelCase      ,						**_lowerCamelCase					)





