


snake_case							:	Optional[Any]					      =				'''\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'''

snake_case							:	Optional[int]					      =				[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
snake_case							:	Tuple					      =				{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}








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


snake_case							:	Optional[int]					      =				logging.get_logger(__name__)

snake_case							:	Union[str, Any]					      =				{
    '''uclanlp/visualbert-vqa''': '''https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json''',
    '''uclanlp/visualbert-vqa-pre''': '''https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json''',
    '''uclanlp/visualbert-vqa-coco-pre''': (
        '''https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json'''
    ),
    '''uclanlp/visualbert-vcr''': '''https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json''',
    '''uclanlp/visualbert-vcr-pre''': '''https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json''',
    '''uclanlp/visualbert-vcr-coco-pre''': (
        '''https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json'''
    ),
    '''uclanlp/visualbert-nlvr2''': '''https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json''',
    '''uclanlp/visualbert-nlvr2-pre''': '''https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json''',
    '''uclanlp/visualbert-nlvr2-coco-pre''': (
        '''https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json'''
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   Dict   				=      '''visual_bert'''
					def __init__(				self       :Optional[int]      ,__snake_case       :Any=3_05_22      ,__snake_case       :str=7_68      ,__snake_case       :Any=5_12      ,__snake_case       :Any=12      ,__snake_case       :int=12      ,__snake_case       :str=30_72      ,__snake_case       :int="gelu"      ,__snake_case       :Optional[int]=0.1      ,__snake_case       :str=0.1      ,__snake_case       :Union[str, Any]=5_12      ,__snake_case       :Tuple=2      ,__snake_case       :Union[str, Any]=0.02      ,__snake_case       :Optional[Any]=1E-12      ,__snake_case       :Optional[Any]=False      ,__snake_case       :int=True      ,__snake_case       :Any=1      ,__snake_case       :Optional[int]=0      ,__snake_case       :Tuple=2      ,**__snake_case       :Any      ,) ->   Union[str, Any]:
												super().__init__(pad_token_id=__snake_case      ,bos_token_id=__snake_case      ,eos_token_id=__snake_case      ,**__snake_case				)

												a__					=					vocab_size
												a__					=					max_position_embeddings
												a__					=					hidden_size
												a__					=					visual_embedding_dim
												a__					=					num_hidden_layers
												a__					=					num_attention_heads
												a__					=					intermediate_size
												a__					=					hidden_act
												a__					=					hidden_dropout_prob
												a__					=					attention_probs_dropout_prob
												a__					=					initializer_range
												a__					=					type_vocab_size
												a__					=					layer_norm_eps
												a__					=					bypass_transformer
												a__					=					special_visual_initialize




