






'''simple docstring'''







from ..utils import DummyObject, requires_backends

class _lowercase      (							metaclass=_lowercase						):
							a							 =			["""torch""", """transformers""", """invisible_watermark"""]




							def __init__(				self:							Optional[int]     ,				*UpperCamelCase__:							Tuple     ,				**UpperCamelCase__:							Optional[int]	):
														requires_backends(self     ,				["""torch""", """transformers""", """invisible_watermark"""]	)




							@classmethod
							def 						lowerCamelCase_							(				cls:							Dict     ,				*UpperCamelCase__:							int     ,				**UpperCamelCase__:							List[Any]	):
														requires_backends(cls     ,				["""torch""", """transformers""", """invisible_watermark"""]	)




							@classmethod
							def 						lowerCamelCase_							(				cls:							Tuple     ,				*UpperCamelCase__:							Dict     ,				**UpperCamelCase__:							Optional[Any]	):
														requires_backends(cls     ,				["""torch""", """transformers""", """invisible_watermark"""]	)



class _lowercase      (							metaclass=_lowercase						):
							a							 =			["""torch""", """transformers""", """invisible_watermark"""]




							def __init__(				self:							List[str]     ,				*UpperCamelCase__:							str     ,				**UpperCamelCase__:							str	):
														requires_backends(self     ,				["""torch""", """transformers""", """invisible_watermark"""]	)




							@classmethod
							def 						lowerCamelCase_							(				cls:							Dict     ,				*UpperCamelCase__:							List[Any]     ,				**UpperCamelCase__:							List[Any]	):
														requires_backends(cls     ,				["""torch""", """transformers""", """invisible_watermark"""]	)




							@classmethod
							def 						lowerCamelCase_							(				cls:							Optional[int]     ,				*UpperCamelCase__:							str     ,				**UpperCamelCase__:							Optional[Any]	):
														requires_backends(cls     ,				["""torch""", """transformers""", """invisible_watermark"""]	)









'''simple docstring'''







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


_A      :     Union[str, Any]       	=logging.get_logger(__name__)

_A      :     Tuple       	={
    '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/config.json''',
    '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json''',
    '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/config.json''',
    '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json''',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}

class _lowercase      (							_lowercase						):
							a							 =			"""splinter"""




							def __init__(				self:							List[str]     ,				UpperCamelCase__:							List[Any]=30_522     ,				UpperCamelCase__:							Union[str, Any]=768     ,				UpperCamelCase__:							str=12     ,				UpperCamelCase__:							Dict=12     ,				UpperCamelCase__:							Tuple=3_072     ,				UpperCamelCase__:							Optional[int]="gelu"     ,				UpperCamelCase__:							Optional[int]=0.1     ,				UpperCamelCase__:							str=0.1     ,				UpperCamelCase__:							List[Any]=512     ,				UpperCamelCase__:							List[str]=2     ,				UpperCamelCase__:							Any=0.02     ,				UpperCamelCase__:							Optional[Any]=1e-12     ,				UpperCamelCase__:							Dict=True     ,				UpperCamelCase__:							str=0     ,				UpperCamelCase__:							int=104     ,				**UpperCamelCase__:							Any     ,				):
														super().__init__(pad_token_id=UpperCamelCase__     ,				**UpperCamelCase__	)

														lowerCamelCase__   :      Union[str, Any]			    =			vocab_size
														lowerCamelCase__   :      str			    =			max_position_embeddings
														lowerCamelCase__   :      Tuple			    =			hidden_size
														lowerCamelCase__   :      Dict			    =			num_hidden_layers
														lowerCamelCase__   :      Tuple			    =			num_attention_heads
														lowerCamelCase__   :      Tuple			    =			intermediate_size
														lowerCamelCase__   :      Any			    =			hidden_act
														lowerCamelCase__   :      int			    =			hidden_dropout_prob
														lowerCamelCase__   :      List[str]			    =			attention_probs_dropout_prob
														lowerCamelCase__   :      Dict			    =			initializer_range
														lowerCamelCase__   :      List[Any]			    =			type_vocab_size
														lowerCamelCase__   :      Tuple			    =			layer_norm_eps
														lowerCamelCase__   :      Optional[Any]			    =			use_cache
														lowerCamelCase__   :      Optional[Any]			    =			question_token_id

