code: def get_model_file(name, root=os.path.join(base.data_dir(), 'models')):
      r
      file_name = '{name}-{short_hash}'.format(name=name,
                                               short_hash=short_hash(name))
      root = os.path.expanduser(root)
      file_path = os.path.join(root, file_name+'.params')
      sha1_hash = _model_sha1[name]
      if os.path.exists(file_path):
          if check_sha1(file_path, sha1_hash):
              return file_path
          else:
              logging.warning('Mismatch in the content of model file detected. Downloading again.')
      else:
          logging.info('Model file not found. Downloading to %s.', file_path)
  
      util.makedirs(root)
  
      zip_file_path = os.path.join(root, file_name+'.zip')
      repo_url = os.environ.get('MXNET_GLUON_REPO', apache_repo_url)
      if repo_url[-1] != '/':
          repo_url = repo_url + '/'
      download(_url_format.format(repo_url=repo_url, file_name=file_name),
               path=zip_file_path,
               overwrite=True)
      with zipfile.ZipFile(zip_file_path) as zf:
          zf.extractall(root)
      os.remove(zip_file_path)
  
      if check_sha1(file_path, sha1_hash):
          return file_path
      else:
          raise ValueError('Downloaded file has different hash. Please try again.')
docs: r"""Return location for the pretrained on local file system.
  
      This function will download from online model zoo when model cannot be found or has mismatch.
      The root directory will be created if it doesn't exist.
  
      Parameters
      ----------
      name : str
          Name of the model.
      root : str, default $MXNET_HOME/models
          Location for keeping the model parameters.
  
      Returns
      -------
      file_path
          Path to the requested pretrained model file.