      if not meta:
          meta = get_model_meta(model_path)
      config_path = model_path / "config.cfg"
      config = load_config(config_path, overrides=dict_to_dot(config))
      nlp, _ = load_model_from_config(config, vocab=vocab, disable=disable)
      return nlp.from_disk(model_path, exclude=disable)
  
  
  def load_model_from_config(
      config: Union[Dict[str, Any], Config],
      *,
 
</s> remove         data_path, vocab=vocab, meta=meta, disable=disable, config=config
 </s> add         data_path,
        vocab=vocab,
        meta=meta,
        disable=disable,
        exclude=exclude,
        config=config,
    nlp, _ = load_model_from_config(
        config, vocab=vocab, disable=disable, exclude=exclude
    )
    return nlp.from_disk(model_path, exclude=exclude)
      if not meta:
          meta = get_model_meta(model_path)
      config_path = model_path / "config.cfg"
      config = load_config(config_path, overrides=dict_to_dot(config))
    nlp, _ = load_model_from_config(
        config, vocab=vocab, disable=disable, exclude=exclude
    )
    return nlp.from_disk(model_path, exclude=exclude)
    nlp, _ = load_model_from_config(
        config, vocab=vocab, disable=disable, exclude=exclude
    )
    return nlp.from_disk(model_path, exclude=exclude)
  
  
  def load_model_from_config(
      config: Union[Dict[str, Any], Config],
      *,
keep keep keep keep replace replace keep keep keep keep keep
 Allow loaded but disabled components 
spacy/util.py