      disable: Iterable[str] = tuple(),
      config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
  ) -> "Language":
      """Load a model from a data directory path. Creates Language class with
      pipeline from config.cfg and then calls from_disk() with path."""
      if not model_path.exists():
          raise IOError(Errors.E052.format(path=model_path))
      if not meta:
          meta = get_model_meta(model_path)
      config_path = model_path / "config.cfg"
 
</s> remove     """Load a model from an installed package."""
 </s> add     """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 (Iterable[str]): Names of pipeline components to disable.
    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.
    """ </s> remove     model_path = ensure_path(path)
    if not model_path.exists():
        raise IOError(Errors.E052.format(path=model_path))
    meta_path = model_path / "meta.json"
    if not meta_path.is_file():
        raise IOError(Errors.E053.format(path=meta_path, name="meta.json"))
    meta = srsly.read_json(meta_path)
 </s> add     path = ensure_path(path)
    if not path.parent.exists():
        raise IOError(Errors.E052.format(path=path.parent))
    if not path.exists() or not path.is_file():
        raise IOError(Errors.E053.format(path=path, name="meta.json"))
    meta = srsly.read_json(path) </s> remove     path (str / Path): Path to model directory.
    RETURNS (Dict[str, Any]): The model's meta data.
 </s> add     path (Union[str, Path]): Path to meta.json.
    RETURNS (Dict[str, Any]): The loaded meta.
    pipeline from config.cfg and then calls from_disk() with path.

    name (str): Package name or model path.
    meta (Dict[str, Any]): Optional model meta.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Iterable[str]): Names of pipeline components to disable.
    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.
    """
      disable: Iterable[str] = tuple(),
      config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
  ) -> "Language":
      """Load a model from a data directory path. Creates Language class with
    pipeline from config.cfg and then calls from_disk() with path.

    name (str): Package name or model path.
    meta (Dict[str, Any]): Optional model meta.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Iterable[str]): Names of pipeline components to disable.
    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.
    """
      if not model_path.exists():
          raise IOError(Errors.E052.format(path=model_path))
      if not meta:
          meta = get_model_meta(model_path)
      config_path = model_path / "config.cfg"
keep keep keep keep replace keep keep keep keep keep
 Update docs and util consistency 
spacy/util.py