code: def _parse_config(
      self, config_path: str, identifier: str
  ) -> Union[LayoutModelConfig, str]:
      if is_lp_layout_model_config_any_format(config_path):
          config_path = add_identifier_for_config(
              config_path, identifier
          )
          for dataset_name in self.MODEL_CATALOG:
              if dataset_name in config_path:
                  default_model_arch = list(
                      self.MODEL_CATALOG[dataset_name].keys()
                  )[0]
                  # Use the first model_name for the dataset as the default_model_arch
                  return layout_model_config_parser(
                      config_path,
                      self.DETECTOR_NAME,
                      default_model_arch,
                  )
          raise ValueError(
              f"The config {config_path} is not a valid config for {self.__class__}, "
              f"possibly because there aren't models trained for the specified dataset."
          )
      else:
          return config_path
  
file_path: layout-parser/src/layoutparser/models/base_layoutmodel.py
imports: from typing import Optional, Tuple, Union, Dict
  from abc import ABC, abstractmethod
  from .model_config import LayoutModelConfig, add_identifier_for_config, layout_model_config_parser, is_lp_layout_model_config_any_format
  from ..file_utils import requires_backends
label_desc: Use image node_id 6 for calling the BaseLayoutModel obj's underlying member method code with example usage: obj._parse_config(config_path, identifier) and returns: config_path, layout_model_config_parser