code: 
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  _lowercase		:     Optional[Any] 					=logging.get_logger(__name__)
  
  _lowercase		:     int 					={
      """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 	UpperCamelCase_     (     snake_case__       ):
  					_a			:	int							=				'splinter'
  
  
  
  					def __init__(		self    :    str					,			lowerCamelCase    :    Union[str, Any]=3_05_22					,			lowerCamelCase    :    List[Any]=7_68					,			lowerCamelCase    :    Tuple=12					,			lowerCamelCase    :    List[Any]=12					,			lowerCamelCase    :    Optional[Any]=30_72					,			lowerCamelCase    :    Dict="gelu"					,			lowerCamelCase    :    Optional[Any]=0.1					,			lowerCamelCase    :    str=0.1					,			lowerCamelCase    :    int=5_12					,			lowerCamelCase    :    Dict=2					,			lowerCamelCase    :    List[Any]=0.02					,			lowerCamelCase    :    List[str]=1E-12					,			lowerCamelCase    :    List[str]=True					,			lowerCamelCase    :    str=0					,			lowerCamelCase    :    Any=1_04					,			**lowerCamelCase    :    Tuple					,			):
  							super().__init__(pad_token_id=lowerCamelCase					,			**lowerCamelCase	)
  
  							lowerCamelCase_  :    List[str]   	=			vocab_size
  							lowerCamelCase_  :    Dict   	=			max_position_embeddings
  							lowerCamelCase_  :    List[Any]   	=			hidden_size
  							lowerCamelCase_  :    int   	=			num_hidden_layers
  							lowerCamelCase_  :    List[Any]   	=			num_attention_heads
  							lowerCamelCase_  :    str   	=			intermediate_size
  							lowerCamelCase_  :    str   	=			hidden_act
  							lowerCamelCase_  :    Union[str, Any]   	=			hidden_dropout_prob
  							lowerCamelCase_  :    Optional[Any]   	=			attention_probs_dropout_prob
  							lowerCamelCase_  :    List[str]   	=			initializer_range
  							lowerCamelCase_  :    Tuple   	=			type_vocab_size
  							lowerCamelCase_  :    Union[str, Any]   	=			layer_norm_eps
  							lowerCamelCase_  :    str   	=			use_cache
  							lowerCamelCase_  :    Tuple   	=			question_token_id
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  _lowercase		:     int 					={
      """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
  }
  
  try:
  		if not is_sentencepiece_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=["""MarianTokenizer"""]
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=[
  		    """MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
  		    """MarianForCausalLM""",
  		    """MarianModel""",
  		    """MarianMTModel""",
  		    """MarianPreTrainedModel""",
  		]
  
  try:
  		if not is_tf_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Dict 					=["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]
  
  try:
  		if not is_flax_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Optional[Any] 					=["""FlaxMarianModel""", """FlaxMarianMTModel""", """FlaxMarianPreTrainedModel"""]
  
  if TYPE_CHECKING:
  		from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig
  
  		try:
  				if not is_sentencepiece_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .tokenization_marian import MarianTokenizer
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_marian import (
  				    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    MarianForCausalLM,
  				    MarianModel,
  				    MarianMTModel,
  				    MarianPreTrainedModel,
  				)
  
  		try:
  				if not is_tf_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
  
  		try:
  				if not is_flax_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
  
  else:
  		import sys
  
  		_lowercase		:     List[str] 					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  