class_docstr: This is a generic configuration class that will be instantiated as one of the configuration classes of the library
  when created with the [`~AutoConfig.from_pretrained`] class method.
  
  This class cannot be instantiated directly using `__init__()` (throws an error).
docstr: Register a new configuration for this class.
  
  Args:
      model_type (`str`): The model type like "bert" or "gpt".
      config ([`PretrainedConfig`]): The config to register.
code: def register(model_type, config, exist_ok=False):
      """
      Register a new configuration for this class.
  
      Args:
          model_type (`str`): The model type like "bert" or "gpt".
          config ([`PretrainedConfig`]): The config to register.
      """
      if (
          issubclass(config, PretrainedConfig)
          and config.model_type != model_type
      ):
          raise ValueError(
              "The config you are passing has a `model_type` attribute that is not consistent with the model type "
              f"you passed (config has {config.model_type} and you passed {model_type}. Fix one of those so they "
              "match!"
          )
      CONFIG_MAPPING.register(model_type, config, exist_ok=exist_ok)
  
imports: import importlib
  import os
  import re
  import warnings
  from collections import OrderedDict
  from typing import List, Union
  from ...configuration_utils import PretrainedConfig
  from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
  from ...utils import CONFIG_NAME, logging
label_desc: Use image node_id 4 for calling the AutoConfig obj's underlying member method code with example usage: obj.register(model_type, config, exist_ok) without return types