code: def save_randomly_initialized_version(
      config_name: str, save_dir: str, **config_kwargs
  ):
      """Save a randomly initialized version of a model using a pretrained config.
      Args:
          config_name: which config to use
          save_dir: where to save the resulting model and tokenizer
          config_kwargs: Passed to AutoConfig
  
      Usage::
          save_randomly_initialized_version("facebook/bart-large-cnn", "distilbart_random_cnn_6_3", encoder_layers=6, decoder_layers=3, num_beams=3)
      """
      cfg = AutoConfig.from_pretrained(config_name, **config_kwargs)
      model = AutoModelForSeq2SeqLM.from_config(cfg)
      model.save_pretrained(save_dir)
      AutoTokenizer.from_pretrained(config_name).save_pretrained(
          save_dir
      )
      return model
  
label_desc: Use image node_id 1 for calling a global function with example usage: save_randomly_initialized_version(config_name, save_dir) and returns: model