  
  def load_config_from_str(
      text: str, overrides: Dict[str, Any] = SimpleFrozenDict(), interpolate: bool = False
  ):
      """Load a full config from a string."""
      return Config(section_order=CONFIG_SECTION_ORDER).from_str(
          text, overrides=overrides, interpolate=interpolate,
      )
  
  
 
</s> remove     """Load a config file. Takes care of path validation and section order."""
 </s> add     """Load a config file. Takes care of path validation and section order.

    path (Union[str, Path]): Path to the config file.
    overrides: (Dict[str, Any]): Config overrides as nested dict or
        dict keyed by section values in dot notation.
    interpolate (bool): Whether to interpolate and resolve variables.
    RETURNS (Config): The loaded config.
    """ </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     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 def get_model_meta(path: Union[str, Path]) -> Dict[str, Any]:
    """Get model meta.json from a directory path and validate its contents.
 </s> add def load_meta(path: Union[str, Path]) -> Dict[str, Any]:
    """Load a model meta.json from a path and validate its contents.
    """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.
    """
  
  def load_config_from_str(
      text: str, overrides: Dict[str, Any] = SimpleFrozenDict(), interpolate: bool = False
  ):
    """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.
    """
      return Config(section_order=CONFIG_SECTION_ORDER).from_str(
          text, overrides=overrides, interpolate=interpolate,
      )
  
  
keep keep keep keep replace keep keep keep keep keep
 Update docs and util consistency 
spacy/util.py