      data_path = model_path / data_dir
      if not model_path.exists():
          raise ValueError("Can't find model directory: %s" % path2str(data_path))
      cls = get_lang_class(meta['lang'])
      nlp = cls(pipeline=meta.get('pipeline', True))
      return nlp.from_disk(data_path, **overrides)
  
  
  def get_model_meta(path):
      """Get model meta.json from a directory path and validate its contents.
 
</s> remove         nlp = cls(pipeline=meta.get('pipeline', True))
 </s> add         nlp = cls(pipeline=meta.get('pipeline', True), meta=meta) </s> remove             nlp = cls(pipeline=meta.get('pipeline', True))
 </s> add             nlp = cls(pipeline=meta.get('pipeline', True), meta=meta)
    nlp = cls(pipeline=meta.get('pipeline', True), meta=meta)
      data_path = model_path / data_dir
      if not model_path.exists():
          raise ValueError("Can't find model directory: %s" % path2str(data_path))
      cls = get_lang_class(meta['lang'])
    nlp = cls(pipeline=meta.get('pipeline', True), meta=meta)
      return nlp.from_disk(data_path, **overrides)
  
  
  def get_model_meta(path):
      """Get model meta.json from a directory path and validate its contents.
keep keep keep keep replace keep keep keep keep keep
 Pass model meta to nlp object in load_model 
spacy/util.py