code: def from_file(cls, filename: str, run_number: int, continue_training: bool = False, seed: int = None,
                    device: str = 'cuda', params=None):
          
          with open(filename, 'r') as fp:
              model_config_contents = Parser.parse(fp)
  
          project_config_path = ModelConfig.find_project_directory(os.path.dirname(os.path.abspath(filename)))
  
          with open(os.path.join(project_config_path, cls.PROJECT_FILE_NAME), 'r') as fp:
              project_config_contents = Parser.parse(fp)
  
          aggregate_dictionary = {
              **project_config_contents,
              **model_config_contents
          }
  
          return ModelConfig(
              filename=filename,
              configuration=aggregate_dictionary,
              run_number=run_number,
              project_dir=project_config_path,
              continue_training=continue_training,
              seed=seed,
              device=device,
              parameters=params
          )
docs: Create model config from file