              return nlp.from_disk(model_path, **overrides)
      elif hasattr(name, 'exists'): # Path or Path-like to model data
          meta = get_package_meta(name)
          cls = get_lang_class(meta['lang'])
          nlp = cls(pipeline=meta.get('pipeline', True))
          return nlp.from_disk(name, **overrides)
      raise IOError("Can't find model '%s'" % name)
  
  
  def load_model_from_init_py(init_file, **overrides):
 
</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)
              return nlp.from_disk(model_path, **overrides)
      elif hasattr(name, 'exists'): # Path or Path-like to model data
          meta = get_package_meta(name)
          cls = get_lang_class(meta['lang'])
        nlp = cls(pipeline=meta.get('pipeline', True), meta=meta)
          return nlp.from_disk(name, **overrides)
      raise IOError("Can't find model '%s'" % name)
  
  
  def load_model_from_init_py(init_file, **overrides):
keep keep keep keep replace keep keep keep keep keep
 Pass model meta to nlp object in load_model 
spacy/util.py