      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.
      """
      kwargs = {"vocab": vocab, "disable": disable, "config": config}
      if isinstance(name, str):  # name or string path
          if name.startswith("blank:"):  # shortcut for blank model
              return get_lang_class(name.replace("blank:", ""))()
          if is_package(name):  # installed as package
              return load_model_from_package(name, **kwargs)
 
</s> remove     return util.load_model(name, disable=disable, config=config)
 </s> add     return util.load_model(name, disable=disable, exclude=exclude, config=config) </s> remove     disable (Iterable[str]): Names of pipeline components to disable.
 </s> add     disable (Iterable[str]): Names of pipeline components to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
        components won't be loaded. </s> remove     disable (Iterable[str]): Names of pipeline components to disable.
 </s> add     disable (Iterable[str]): Names of pipeline components to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
        components won't be loaded. </s> remove     disable (Iterable[str]): Names of pipeline components to disable.
 </s> add     disable (Iterable[str]): Names of pipeline components to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
        components won't be loaded. </s> remove     disable (Iterable[str]): Names of pipeline components to disable.
 </s> add     disable (Iterable[str]): Names of pipeline components to disable. Disabled
        pipes will be loaded but they won't be run unless you explicitly
        enable them by calling nlp.enable_pipe.
    exclude (Iterable[str]): Names of pipeline components to exclude. Excluded
        components won't be loaded.
    kwargs = {"vocab": vocab, "disable": disable, "exclude": exclude, "config": config}
      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.
      """
    kwargs = {"vocab": vocab, "disable": disable, "exclude": exclude, "config": config}
      if isinstance(name, str):  # name or string path
          if name.startswith("blank:"):  # shortcut for blank model
              return get_lang_class(name.replace("blank:", ""))()
          if is_package(name):  # installed as package
              return load_model_from_package(name, **kwargs)
keep keep keep keep replace keep keep keep keep keep
 Allow loaded but disabled components 
spacy/util.py