      data_path = model_path / data_dir
      if not model_path.exists():
          raise IOError(Errors.E052.format(path=data_path))
      return load_model_from_path(
          data_path, vocab=vocab, meta=meta, disable=disable, config=config
      )
  
  
  def load_config(
      path: Union[str, Path],
 
</s> remove     nlp, _ = load_model_from_config(config, vocab=vocab, disable=disable)
    return nlp.from_disk(model_path, exclude=disable)
 </s> add     nlp, _ = load_model_from_config(
        config, vocab=vocab, disable=disable, exclude=exclude
    )
    return nlp.from_disk(model_path, exclude=exclude) </s> remove     return cls.load(vocab=vocab, disable=disable, config=config)
 </s> add     return cls.load(vocab=vocab, disable=disable, exclude=exclude, config=config) </s> remove         config, vocab=vocab, disable=disable, auto_fill=auto_fill, validate=validate,
 </s> add         config,
        vocab=vocab,
        disable=disable,
        exclude=exclude,
        auto_fill=auto_fill,
        validate=validate,
        data_path,
        vocab=vocab,
        meta=meta,
        disable=disable,
        exclude=exclude,
        config=config,
      data_path = model_path / data_dir
      if not model_path.exists():
          raise IOError(Errors.E052.format(path=data_path))
      return load_model_from_path(
        data_path,
        vocab=vocab,
        meta=meta,
        disable=disable,
        exclude=exclude,
        config=config,
      )
  
  
  def load_config(
      path: Union[str, Path],
keep keep keep keep replace keep keep keep keep keep
 Allow loaded but disabled components 
spacy/util.py