code: 
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  SCREAMING_SNAKE_CASE__    :    int								=					{"""configuration_levit""": ["""LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LevitConfig""", """LevitOnnxConfig"""]}
  
  try:
  				if not is_vision_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				SCREAMING_SNAKE_CASE__    :    Dict								=					["""LevitFeatureExtractor"""]
  				SCREAMING_SNAKE_CASE__    :    Tuple								=					["""LevitImageProcessor"""]
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					[
  				    """LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
  				    """LevitForImageClassification""",
  				    """LevitForImageClassificationWithTeacher""",
  				    """LevitModel""",
  				    """LevitPreTrainedModel""",
  				]
  
  
  if TYPE_CHECKING:
  				from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig
  
  				try:
  								if not is_vision_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .feature_extraction_levit import LevitFeatureExtractor
  								from .image_processing_levit import LevitImageProcessor
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_levit import (
  								    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    LevitForImageClassification,
  								    LevitForImageClassificationWithTeacher,
  								    LevitModel,
  								    LevitPreTrainedModel,
  								)
  else:
  				import sys
  
  				SCREAMING_SNAKE_CASE__    :    List[str]								=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					[{"type": "code", "content": INSTALL_CONTENT}]
  SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
      "{processor_class}": "FakeProcessorClass",
      "{model_class}": "FakeModelClass",
      "{object_class}": "FakeObjectClass",
  }
  