def load_model_from_package(
    name: str,
    *,
    vocab: Union["Vocab", bool] = True,
    disable: Union[str, Iterable[str]] = _DEFAULT_EMPTY_PIPES,
    enable: Union[str, Iterable[str]] = _DEFAULT_EMPTY_PIPES,
    exclude: Union[str, Iterable[str]] = _DEFAULT_EMPTY_PIPES,
    config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
) -> "Language":
    """Load a model from an installed package.

    name (str): The package name.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
        pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
    exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
        components won't be loaded.
    config (Dict[str, Any] / Config): Config overrides as nested dict or dict
        keyed by section values in dot notation.
    RETURNS (Language): The loaded nlp object.
    """
    cls = importlib.import_module(name)
    return cls.load(vocab=vocab, disable=disable, enable=enable, exclude=exclude, config=config)  # type: ignore[attr-defined]
Load a model from an installed package.

    name (str): The package name.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    enable (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to enable. All other
        pipes will be disabled (and can be enabled using `nlp.enable_pipe`).
    exclude (Union[str, Iterable[str]]): Name(s) of pipeline component(s) to exclude. Excluded
        components won't be loaded.
    config (Dict[str, Any] / Config): Config overrides as nested dict or dict
        keyed by section values in dot notation.
    RETURNS (Language): The loaded nlp object.
    
spacy/util.py