class_docstr: Base class for ONNX exportable model describing metadata on how to export the model through the ONNX format.
docstr: Dictionary of keys to override in the model's config before exporting
  
  Returns:
      Dictionary with the keys (and their corresponding values) to override
docstr_tok: ["Dictionary","of","keys","to","override","in","the","model","'s","config","before","exporting","Returns",":","Dictionary","with","the","keys","(","and","their","corresponding","values",")","to","override"]
code: def values_override(self) -> Optional[Mapping[str, Any]]:
      """
      Dictionary of keys to override in the model's config before exporting
  
      Returns:
          Dictionary with the keys (and their corresponding values) to override
      """
      if hasattr(self._config, "use_cache"):
          return {"use_cache": False}
  
      return None
  
imports: import copy
  import dataclasses
  import warnings
  from abc import ABC, abstractmethod
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  import numpy
  from packaging import version
  from ..utils import TensorType, is_torch_available, is_vision_available, logging
  from .utils import ParameterFormat, compute_effective_axis_dimension, compute_serialized_parameters_size
label_desc: Use image node_id 5 for calling the OnnxConfig obj's underlying member method code with example usage: obj.values_override() and returns: None, dict