def METHOD_NAME(self,
                        model_files: Sequence[str] = None,
                        **kwargs) -> torch.nn.Module:
    """Initialize backend model.
    Args:
        model_files (Sequence[str]): Input model files.
    Returns:
        nn.Module: An initialized backend model.
    """
    from .mono_detection_model import build_mono_detection_model
    data_preprocessor = deepcopy(
        self.model_cfg.model.get('data_preprocessor', {}))
    data_preprocessor.setdefault('type', 'mmdet3D.Det3DDataPreprocessor')
    model = build_mono_detection_model(
        model_files,
        self.model_cfg,
        self.deploy_cfg,
        device=self.device,
        data_preprocessor=data_preprocessor)
    model = model.to(self.device)
    return model