def _from_pretrained()

in optimum/furiosa/modeling_base.py [0:0]


    def _from_pretrained(
        cls,
        model_id: Union[str, Path],
        config: PretrainedConfig,
        use_auth_token: Optional[Union[bool, str, None]] = None,
        revision: Optional[Union[str, None]] = None,
        force_download: bool = False,
        cache_dir: Optional[str] = None,
        file_name: Optional[str] = None,
        subfolder: str = "",
        from_onnx: bool = False,
        from_quantized: bool = False,
        local_files_only: bool = False,
        input_shape_dict: Optional[Dict[str, Tuple[int]]] = None,
        output_shape_dict: Optional[Dict[str, Tuple[int]]] = None,
        **kwargs,