code: def preprocess(
      self,
      prompt_text,
      prefix="",
      handle_long_generation=None,
      **generate_kwargs,
  ):
      prompt_text = self.prompt.format(instruction=prompt_text)
      return super().preprocess(
          prompt_text,
          prefix=prefix,
          handle_long_generation=handle_long_generation,
          **generate_kwargs,
      )
  
imports: from transformers import TextGenerationPipeline
  from transformers.pipelines.text_generation import ReturnType
label_desc: Use image node_id 2 for calling the H2OTextGenerationPipeline obj's underlying member method code with example usage: obj.preprocess(prompt_text, prefix, handle_long_generation) and returns: super