def from_pretrained()

in local_gemma/modeling_local_gemma_2.py [0:0]

• 15 lines of code
• 1 McCabe index (conditional complexity)

    def from_pretrained(
        cls,
        pretrained_model_name_or_path: Optional[Union[str, os.PathLike]],
        preset: Optional[str] = "auto",
        torch_compile: Optional[bool] = None,
        *model_args,
        config: Optional[Union[Gemma2Config, str, os.PathLike]] = None,
        cache_dir: Optional[Union[str, os.PathLike]] = None,
        ignore_mismatched_sizes: bool = False,
        force_download: bool = False,
        local_files_only: bool = False,
        token: Optional[Union[str, bool]] = None,
        revision: str = "main",
        use_safetensors: bool = None,
        **kwargs,