fix: support transformer models' generation_config in pipeline

[JeffersonQin]

^

The patch enable downloading the generation_config.json for transformer models in diffusers pipeline

[a-r-r-o-w]

Thanks!

For more context (to other reviewers), it seems like we also need this for the fast dduf test to pass in certain cases. Examples include CogView4 and Lumina2.

_______________________________________________________________________________________________________________________________ CogView4PipelineFastTests.test_save_load_dduf _______________________________________________________________________________________________________________________________

path_or_repo_id = '/tmp/tmpe5mupj5v/generation_config.json', filename = 'generation_config.json', cache_dir = '/raid/aryan/hub', force_download = False, resume_download = None, proxies = None, token = None, revision = 'main', local_files_only = False, subfolder = '', repo_type = None
user_agent = 'transformers/4.48.0.dev0; python/3.10.14; session_id/4805c36e1efa4191aa062104d29815ea; torch/2.5.1; file_type/config; from_auto_class/False', _raise_exceptions_for_gated_repo = True, _raise_exceptions_for_missing_entries = True, _raise_exceptions_for_connection_errors = True
_commit_hash = None, deprecated_kwargs = {}, use_auth_token = None, full_filename = 'generation_config.json'

    def cached_file(
        path_or_repo_id: Union[str, os.PathLike],
        filename: str,
        cache_dir: Optional[Union[str, os.PathLike]] = None,
        force_download: bool = False,
        resume_download: Optional[bool] = None,
        proxies: Optional[Dict[str, str]] = None,
        token: Optional[Union[bool, str]] = None,
        revision: Optional[str] = None,
        local_files_only: bool = False,
        subfolder: str = "",
        repo_type: Optional[str] = None,
        user_agent: Optional[Union[str, Dict[str, str]]] = None,
        _raise_exceptions_for_gated_repo: bool = True,
        _raise_exceptions_for_missing_entries: bool = True,
        _raise_exceptions_for_connection_errors: bool = True,
        _commit_hash: Optional[str] = None,
        **deprecated_kwargs,
    ) -> Optional[str]:
        """
        Tries to locate a file in a local folder and repo, downloads and cache it if necessary.
    
        Args:
            path_or_repo_id (`str` or `os.PathLike`):
                This can be either:
    
                - a string, the *model id* of a model repo on huggingface.co.
                - a path to a *directory* potentially containing the file.
            filename (`str`):
                The name of the file to locate in `path_or_repo`.
            cache_dir (`str` or `os.PathLike`, *optional*):
                Path to a directory in which a downloaded pretrained model configuration should be cached if the standard
                cache should not be used.
            force_download (`bool`, *optional*, defaults to `False`):
                Whether or not to force to (re-)download the configuration files and override the cached versions if they
                exist.
            resume_download:
                Deprecated and ignored. All downloads are now resumed by default when possible.
                Will be removed in v5 of Transformers.
            proxies (`Dict[str, str]`, *optional*):
                A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
                'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
            token (`str` or *bool*, *optional*):
                The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
                when running `huggingface-cli login` (stored in `~/.huggingface`).
            revision (`str`, *optional*, defaults to `"main"`):
                The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
                identifier allowed by git.
            local_files_only (`bool`, *optional*, defaults to `False`):
                If `True`, will only try to load the tokenizer configuration from local files.
            subfolder (`str`, *optional*, defaults to `""`):
                In case the relevant files are located inside a subfolder of the model repo on huggingface.co, you can
                specify the folder name here.
            repo_type (`str`, *optional*):
                Specify the repo type (useful when downloading from a space for instance).
    
        <Tip>
    
        Passing `token=True` is required when you want to use a private model.
    
        </Tip>
    
        Returns:
            `Optional[str]`: Returns the resolved file (to the cache folder if downloaded from a repo).
    
        Examples:
    
        ```python
        # Download a model weight from the Hub and cache it.
        model_weights_file = cached_file("google-bert/bert-base-uncased", "pytorch_model.bin")
        ```
        """
        use_auth_token = deprecated_kwargs.pop("use_auth_token", None)
        if use_auth_token is not None:
            warnings.warn(
                "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.",
                FutureWarning,
            )
            if token is not None:
                raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
            token = use_auth_token
    
        # Private arguments
        #     _raise_exceptions_for_gated_repo: if False, do not raise an exception for gated repo error but return
        #         None.
        #     _raise_exceptions_for_missing_entries: if False, do not raise an exception for missing entries but return
        #         None.
        #     _raise_exceptions_for_connection_errors: if False, do not raise an exception for connection errors but return
        #         None.
        #     _commit_hash: passed when we are chaining several calls to various files (e.g. when loading a tokenizer or
        #         a pipeline). If files are cached for this commit hash, avoid calls to head and get from the cache.
        if is_offline_mode() and not local_files_only:
            logger.info("Offline mode: forcing local_files_only=True")
            local_files_only = True
        if subfolder is None:
            subfolder = ""
    
        path_or_repo_id = str(path_or_repo_id)
        full_filename = os.path.join(subfolder, filename)
        if os.path.isdir(path_or_repo_id):
            resolved_file = os.path.join(os.path.join(path_or_repo_id, subfolder), filename)
            if not os.path.isfile(resolved_file):
                if _raise_exceptions_for_missing_entries and filename not in ["config.json", f"{subfolder}/config.json"]:
                    raise EnvironmentError(
                        f"{path_or_repo_id} does not appear to have a file named {full_filename}. Checkout "
                        f"'https://huggingface.co/{path_or_repo_id}/tree/{revision}' for available files."
                    )
                else:
                    return None
            return resolved_file
    
        if cache_dir is None:
            cache_dir = TRANSFORMERS_CACHE
        if isinstance(cache_dir, Path):
            cache_dir = str(cache_dir)
    
        if _commit_hash is not None and not force_download:
            # If the file is cached under that commit hash, we return it directly.
            resolved_file = try_to_load_from_cache(
                path_or_repo_id, full_filename, cache_dir=cache_dir, revision=_commit_hash, repo_type=repo_type
            )
            if resolved_file is not None:
                if resolved_file is not _CACHED_NO_EXIST:
                    return resolved_file
                elif not _raise_exceptions_for_missing_entries:
                    return None
                else:
                    raise EnvironmentError(f"Could not locate {full_filename} inside {path_or_repo_id}.")
    
        user_agent = http_user_agent(user_agent)
        try:
            # Load from URL or cache if already cached
>           resolved_file = hf_hub_download(
                path_or_repo_id,
                filename,
                subfolder=None if len(subfolder) == 0 else subfolder,
                repo_type=repo_type,
                revision=revision,
                cache_dir=cache_dir,
                user_agent=user_agent,
                force_download=force_download,
                proxies=proxies,
                resume_download=resume_download,
                token=token,
                local_files_only=local_files_only,
            )

../transformers/src/transformers/utils/hub.py:403: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/raid/aryan/nightly-venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:106: in _inner_fn
    validate_repo_id(arg_value)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

repo_id = '/tmp/tmpe5mupj5v/generation_config.json'

    def validate_repo_id(repo_id: str) -> None:
        """Validate `repo_id` is valid.
    
        This is not meant to replace the proper validation made on the Hub but rather to
        avoid local inconsistencies whenever possible (example: passing `repo_type` in the
        `repo_id` is forbidden).
    
        Rules:
        - Between 1 and 96 characters.
        - Either "repo_name" or "namespace/repo_name"
        - [a-zA-Z0-9] or "-", "_", "."
        - "--" and ".." are forbidden
    
        Valid: `"foo"`, `"foo/bar"`, `"123"`, `"Foo-BAR_foo.bar123"`
    
        Not valid: `"datasets/foo/bar"`, `".repo_id"`, `"foo--bar"`, `"foo.git"`
    
        Example:
        ```py
        >>> from huggingface_hub.utils import validate_repo_id
        >>> validate_repo_id(repo_id="valid_repo_id")
        >>> validate_repo_id(repo_id="other..repo..id")
        huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'.
        ```
    
        Discussed in https://github.com/huggingface/huggingface_hub/issues/1008.
        In moon-landing (internal repository):
        - https://github.com/huggingface/moon-landing/blob/main/server/lib/Names.ts#L27
        - https://github.com/huggingface/moon-landing/blob/main/server/views/components/NewRepoForm/NewRepoForm.svelte#L138
        """
        if not isinstance(repo_id, str):
            # Typically, a Path is not a repo_id
            raise HFValidationError(f"Repo id must be a string, not {type(repo_id)}: '{repo_id}'.")
    
        if repo_id.count("/") > 1:
>           raise HFValidationError(
                "Repo id must be in the form 'repo_name' or 'namespace/repo_name':"
                f" '{repo_id}'. Use `repo_type` argument if needed."
            )
E           huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/tmp/tmpe5mupj5v/generation_config.json'. Use `repo_type` argument if needed.

/raid/aryan/nightly-venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:154: HFValidationError

The above exception was the direct cause of the following exception:

self = <tests.pipelines.cogview4.test_cogview4.CogView4PipelineFastTests testMethod=test_save_load_dduf>, atol = 0.0001, rtol = 0.0001

    @require_hf_hub_version_greater("0.26.5")
    @require_transformers_version_greater("4.47.1")
    def test_save_load_dduf(self, atol=1e-4, rtol=1e-4):
        if not self.supports_dduf:
            return
    
        from huggingface_hub import export_folder_as_dduf
    
        components = self.get_dummy_components()
        pipe = self.pipeline_class(**components)
        pipe = pipe.to(torch_device)
        pipe.set_progress_bar_config(disable=None)
    
        inputs = self.get_dummy_inputs(device="cpu")
        inputs.pop("generator")
        inputs["generator"] = torch.manual_seed(0)
    
        pipeline_out = pipe(**inputs)[0]
    
        with tempfile.TemporaryDirectory() as tmpdir:
            dduf_filename = os.path.join(tmpdir, f"{pipe.__class__.__name__.lower()}.dduf")
            pipe.save_pretrained(tmpdir, safe_serialization=True)
            export_folder_as_dduf(dduf_filename, folder_path=tmpdir)
>           loaded_pipe = self.pipeline_class.from_pretrained(tmpdir, dduf_file=dduf_filename).to(torch_device)

tests/pipelines/test_pipelines_common.py:2022: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/raid/aryan/nightly-venv/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:114: in _inner_fn
    return fn(*args, **kwargs)
src/diffusers/pipelines/pipeline_utils.py:953: in from_pretrained
    loaded_sub_model = load_sub_model(
src/diffusers/pipelines/pipeline_loading_utils.py:731: in load_sub_model
    loaded_sub_model = load_method(name, **loading_kwargs)
src/diffusers/pipelines/pipeline_loading_utils.py:769: in <lambda>
    return lambda *args, **kwargs: _load_transformers_model_from_dduf(class_obj, *args, **kwargs)
src/diffusers/pipelines/transformers_loading_utils.py:105: in _load_transformers_model_from_dduf
    generation_config = GenerationConfig.from_pretrained(tmp_generation_config_file)
../transformers/src/transformers/generation/configuration_utils.py:1055: in from_pretrained
    resolved_config_file = cached_file(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

path_or_repo_id = '/tmp/tmpe5mupj5v/generation_config.json', filename = 'generation_config.json', cache_dir = '/raid/aryan/hub', force_download = False, resume_download = None, proxies = None, token = None, revision = 'main', local_files_only = False, subfolder = '', repo_type = None
user_agent = 'transformers/4.48.0.dev0; python/3.10.14; session_id/4805c36e1efa4191aa062104d29815ea; torch/2.5.1; file_type/config; from_auto_class/False', _raise_exceptions_for_gated_repo = True, _raise_exceptions_for_missing_entries = True, _raise_exceptions_for_connection_errors = True
_commit_hash = None, deprecated_kwargs = {}, use_auth_token = None, full_filename = 'generation_config.json'

    def cached_file(
        path_or_repo_id: Union[str, os.PathLike],
        filename: str,
        cache_dir: Optional[Union[str, os.PathLike]] = None,
        force_download: bool = False,
        resume_download: Optional[bool] = None,
        proxies: Optional[Dict[str, str]] = None,
        token: Optional[Union[bool, str]] = None,
        revision: Optional[str] = None,
        local_files_only: bool = False,
        subfolder: str = "",
        repo_type: Optional[str] = None,
        user_agent: Optional[Union[str, Dict[str, str]]] = None,
        _raise_exceptions_for_gated_repo: bool = True,
        _raise_exceptions_for_missing_entries: bool = True,
        _raise_exceptions_for_connection_errors: bool = True,
        _commit_hash: Optional[str] = None,
        **deprecated_kwargs,
    ) -> Optional[str]:
        """
        Tries to locate a file in a local folder and repo, downloads and cache it if necessary.
    
        Args:
            path_or_repo_id (`str` or `os.PathLike`):
                This can be either:
    
                - a string, the *model id* of a model repo on huggingface.co.
                - a path to a *directory* potentially containing the file.
            filename (`str`):
                The name of the file to locate in `path_or_repo`.
            cache_dir (`str` or `os.PathLike`, *optional*):
                Path to a directory in which a downloaded pretrained model configuration should be cached if the standard
                cache should not be used.
            force_download (`bool`, *optional*, defaults to `False`):
                Whether or not to force to (re-)download the configuration files and override the cached versions if they
                exist.
            resume_download:
                Deprecated and ignored. All downloads are now resumed by default when possible.
                Will be removed in v5 of Transformers.
            proxies (`Dict[str, str]`, *optional*):
                A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
                'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
            token (`str` or *bool*, *optional*):
                The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
                when running `huggingface-cli login` (stored in `~/.huggingface`).
            revision (`str`, *optional*, defaults to `"main"`):
                The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
                identifier allowed by git.
            local_files_only (`bool`, *optional*, defaults to `False`):
                If `True`, will only try to load the tokenizer configuration from local files.
            subfolder (`str`, *optional*, defaults to `""`):
                In case the relevant files are located inside a subfolder of the model repo on huggingface.co, you can
                specify the folder name here.
            repo_type (`str`, *optional*):
                Specify the repo type (useful when downloading from a space for instance).
    
        <Tip>
    
        Passing `token=True` is required when you want to use a private model.
    
        </Tip>
    
        Returns:
            `Optional[str]`: Returns the resolved file (to the cache folder if downloaded from a repo).
    
        Examples:
    
        ```python
        # Download a model weight from the Hub and cache it.
        model_weights_file = cached_file("google-bert/bert-base-uncased", "pytorch_model.bin")
        ```
        """
        use_auth_token = deprecated_kwargs.pop("use_auth_token", None)
        if use_auth_token is not None:
            warnings.warn(
                "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.",
                FutureWarning,
            )
            if token is not None:
                raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
            token = use_auth_token
    
        # Private arguments
        #     _raise_exceptions_for_gated_repo: if False, do not raise an exception for gated repo error but return
        #         None.
        #     _raise_exceptions_for_missing_entries: if False, do not raise an exception for missing entries but return
        #         None.
        #     _raise_exceptions_for_connection_errors: if False, do not raise an exception for connection errors but return
        #         None.
        #     _commit_hash: passed when we are chaining several calls to various files (e.g. when loading a tokenizer or
        #         a pipeline). If files are cached for this commit hash, avoid calls to head and get from the cache.
        if is_offline_mode() and not local_files_only:
            logger.info("Offline mode: forcing local_files_only=True")
            local_files_only = True
        if subfolder is None:
            subfolder = ""
    
        path_or_repo_id = str(path_or_repo_id)
        full_filename = os.path.join(subfolder, filename)
        if os.path.isdir(path_or_repo_id):
            resolved_file = os.path.join(os.path.join(path_or_repo_id, subfolder), filename)
            if not os.path.isfile(resolved_file):
                if _raise_exceptions_for_missing_entries and filename not in ["config.json", f"{subfolder}/config.json"]:
                    raise EnvironmentError(
                        f"{path_or_repo_id} does not appear to have a file named {full_filename}. Checkout "
                        f"'https://huggingface.co/{path_or_repo_id}/tree/{revision}' for available files."
                    )
                else:
                    return None
            return resolved_file
    
        if cache_dir is None:
            cache_dir = TRANSFORMERS_CACHE
        if isinstance(cache_dir, Path):
            cache_dir = str(cache_dir)
    
        if _commit_hash is not None and not force_download:
            # If the file is cached under that commit hash, we return it directly.
            resolved_file = try_to_load_from_cache(
                path_or_repo_id, full_filename, cache_dir=cache_dir, revision=_commit_hash, repo_type=repo_type
            )
            if resolved_file is not None:
                if resolved_file is not _CACHED_NO_EXIST:
                    return resolved_file
                elif not _raise_exceptions_for_missing_entries:
                    return None
                else:
                    raise EnvironmentError(f"Could not locate {full_filename} inside {path_or_repo_id}.")
    
        user_agent = http_user_agent(user_agent)
        try:
            # Load from URL or cache if already cached
            resolved_file = hf_hub_download(
                path_or_repo_id,
                filename,
                subfolder=None if len(subfolder) == 0 else subfolder,
                repo_type=repo_type,
                revision=revision,
                cache_dir=cache_dir,
                user_agent=user_agent,
                force_download=force_download,
                proxies=proxies,
                resume_download=resume_download,
                token=token,
                local_files_only=local_files_only,
            )
        except GatedRepoError as e:
            resolved_file = _get_cache_file_to_return(path_or_repo_id, full_filename, cache_dir, revision)
            if resolved_file is not None or not _raise_exceptions_for_gated_repo:
                return resolved_file
            raise EnvironmentError(
                "You are trying to access a gated repo.\nMake sure to have access to it at "
                f"https://huggingface.co/{path_or_repo_id}.\n{str(e)}"
            ) from e
        except RepositoryNotFoundError as e:
            raise EnvironmentError(
                f"{path_or_repo_id} is not a local folder and is not a valid model identifier "
                "listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a token "
                "having permission to this repo either by logging in with `huggingface-cli login` or by passing "
                "`token=<your_token>`"
            ) from e
        except RevisionNotFoundError as e:
            raise EnvironmentError(
                f"{revision} is not a valid git identifier (branch name, tag name or commit id) that exists "
                "for this model name. Check the model page at "
                f"'https://huggingface.co/{path_or_repo_id}' for available revisions."
            ) from e
        except LocalEntryNotFoundError as e:
            resolved_file = _get_cache_file_to_return(path_or_repo_id, full_filename, cache_dir, revision)
            if (
                resolved_file is not None
                or not _raise_exceptions_for_missing_entries
                or not _raise_exceptions_for_connection_errors
            ):
                return resolved_file
            raise EnvironmentError(
                f"We couldn't connect to '{HUGGINGFACE_CO_RESOLVE_ENDPOINT}' to load this file, couldn't find it in the"
                f" cached files and it looks like {path_or_repo_id} is not the path to a directory containing a file named"
                f" {full_filename}.\nCheckout your internet connection or see how to run the library in offline mode at"
                " 'https://huggingface.co/docs/transformers/installation#offline-mode'."
            ) from e
        except EntryNotFoundError as e:
            if not _raise_exceptions_for_missing_entries:
                return None
            if revision is None:
                revision = "main"
            if filename in ["config.json", f"{subfolder}/config.json"]:
                return None
            raise EnvironmentError(
                f"{path_or_repo_id} does not appear to have a file named {full_filename}. Checkout "
                f"'https://huggingface.co/{path_or_repo_id}/tree/{revision}' for available files."
            ) from e
        except HTTPError as err:
            resolved_file = _get_cache_file_to_return(path_or_repo_id, full_filename, cache_dir, revision)
            if resolved_file is not None or not _raise_exceptions_for_connection_errors:
                return resolved_file
            raise EnvironmentError(f"There was a specific connection error when trying to load {path_or_repo_id}:\n{err}")
        except HFValidationError as e:
>           raise EnvironmentError(
                f"Incorrect path_or_model_id: '{path_or_repo_id}'. Please provide either the path to a local folder or the repo_id of a model on the Hub."
            ) from e
E           OSError: Incorrect path_or_model_id: '/tmp/tmpe5mupj5v/generation_config.json'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

../transformers/src/transformers/utils/hub.py:469: OSError

FAILED tests/pipelines/cogview4/test_cogview4.py::CogView4PipelineFastTests::test_save_load_dduf - OSError: Incorrect path_or_model_id: '/tmp/tmpe5mupj5v/generation_config.json'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

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