code: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  lowerCAmelCase__   	=				logging.get_logger(__name__)
  
  lowerCAmelCase__   	=				{
      'squeezebert/squeezebert-uncased': (
          'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
      ),
      'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
      'squeezebert/squeezebert-mnli-headless': (
          'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
      ),
  }
  
  
  
  
  
  
  
  class   lowerCAmelCase__ (       a):
  
  
  
  
       '''simple docstring'''
       __SCREAMING_SNAKE_CASE						    =				SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
       __SCREAMING_SNAKE_CASE						    =				"squeezebert"
  
  
       def __init__(		self				,		__lowerCamelCase=3_0_5_2_2				,		__lowerCamelCase=7_6_8				,		__lowerCamelCase=1_2				,		__lowerCamelCase=1_2				,		__lowerCamelCase=3_0_7_2				,		__lowerCamelCase="gelu"				,		__lowerCamelCase=0.1				,		__lowerCamelCase=0.1				,		__lowerCamelCase=5_1_2				,		__lowerCamelCase=2				,		__lowerCamelCase=0.0_2				,		__lowerCamelCase=1e-12				,		__lowerCamelCase=0				,		__lowerCamelCase=7_6_8				,		__lowerCamelCase=4				,		__lowerCamelCase=4				,		__lowerCamelCase=4				,		__lowerCamelCase=1				,		__lowerCamelCase=4				,		__lowerCamelCase=4				,		**__lowerCamelCase				,		)    ->       List[Any]:
              super().__init__(pad_token_id=__lowerCamelCase				,		**__lowerCamelCase)
  
              _A   : str       					=				vocab_size
              _A   : int       					=				hidden_size
              _A   : Optional[Any]       					=				num_hidden_layers
              _A   : List[str]       					=				num_attention_heads
              _A   : Tuple       					=				hidden_act
              _A   : Union[str, Any]       					=				intermediate_size
              _A   : int       					=				hidden_dropout_prob
              _A   : List[Any]       					=				attention_probs_dropout_prob
              _A   : Union[str, Any]       					=				max_position_embeddings
              _A   : List[str]       					=				type_vocab_size
              _A   : Any       					=				initializer_range
              _A   : str       					=				layer_norm_eps
              _A   : Dict       					=				embedding_size
              _A   : Dict       					=				q_groups
              _A   : List[Any]       					=				k_groups
              _A   : List[Any]       					=				v_groups
              _A   : Any       					=				post_attention_groups
              _A   : Tuple       					=				intermediate_groups
              _A   : Union[str, Any]       					=				output_groups
  
  
  
  
  
  
  
  class   lowerCAmelCase__ (       a):
  
  
  
  
       '''simple docstring'''
  
  
       @property
       def 				_lowerCamelCase				(		self)    ->       Mapping[str, Mapping[int, str]]:
              if self.task == "multiple-choice":
                     _A   : Union[str, Any]       					=				{0: "batch", 1: "choice", 2: "sequence"}
              else:
                     _A   : Tuple       					=				{0: "batch", 1: "sequence"}
              return OrderedDict(
                  [
                      ("input_ids", dynamic_axis),
                      ("attention_mask", dynamic_axis),
                      ("token_type_ids", dynamic_axis),
                  ])
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowerCAmelCase__   	=				{'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				['DetrFeatureExtractor']
      lowerCAmelCase__   	=				['DetrImageProcessor']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				[
          'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
          'DetrForObjectDetection',
          'DetrForSegmentation',
          'DetrModel',
          'DetrPreTrainedModel',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .feature_extraction_detr import DetrFeatureExtractor
          from .image_processing_detr import DetrImageProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_detr import (
              DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetrForObjectDetection,
              DetrForSegmentation,
              DetrModel,
              DetrPreTrainedModel,
          )
  
  else:
      import sys
  
      lowerCAmelCase__   	=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  