      vocab: Union["Vocab", bool] = True,
      disable: Iterable[str] = tuple(),
      config: Union[Dict[str, Any], Config] = SimpleFrozenDict(),
  ) -> "Language":
      """Load a model from an installed package."""
      cls = importlib.import_module(name)
      return cls.load(vocab=vocab, disable=disable, config=config)
  
  
  def load_model_from_path(
 
</s> remove     pipeline from config.cfg and then calls from_disk() with path."""
 </s> add     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.
    """ </s> remove     """Load a full config from a string."""
 </s> add     """Load a full config from a string. Wrapper around Thinc's Config.from_str.

    text (str): The string config to load.
    interpolate (bool): Whether to interpolate and resolve variables.
    RETURNS (Config): The loaded config.
    """
    """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.
    """
      vocab: Union["Vocab", bool] = True,
      disable: Iterable[str] = tuple(),
      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 (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.
    """
      cls = importlib.import_module(name)
      return cls.load(vocab=vocab, disable=disable, config=config)
  
  
  def load_model_from_path(
keep keep keep keep replace keep keep keep keep keep
 Update docs and util consistency 
spacy/util.py