Function load

modelscope/utils/hf_util/patcher.py:850–878

(
        cls,
        repo_id_or_path: Union[str, Path],
        repo_type: Optional[str] = None,
        token: Optional[str] = None,
        ignore_metadata_errors: bool = False,
    )

            repo_type=repo_type or 'model')

    def load(
        cls,
        repo_id_or_path: Union[str, Path],
        repo_type: Optional[str] = None,
        token: Optional[str] = None,
        ignore_metadata_errors: bool = False,
    ):
        from modelscope.hub.api import HubApi
        api = HubApi()
        api.login(token)
        if os.path.exists(repo_id_or_path):
            file_path = repo_id_or_path
        elif repo_type == 'model' or repo_type is None:
            from modelscope import model_file_download
            file_path = model_file_download(repo_id_or_path, 'README.md')
        elif repo_type == 'dataset':
            from modelscope import dataset_file_download
            file_path = dataset_file_download(repo_id_or_path, 'README.md')
        else:
            raise ValueError(
                f'repo_type should be `model` or `dataset`, but now is {repo_type}'
            )

        with open(file_path, 'r') as f:
            repo_card = cls(
                f.read(), ignore_metadata_errors=ignore_metadata_errors)
            if not hasattr(repo_card.data, 'tags'):
                repo_card.data.tags = []
            return repo_card

    # Patch repocard.validate
    from huggingface_hub import repocard