code: def postprocess(
      self,
      model_outputs,
      return_type=ReturnType.FULL_TEXT,
      clean_up_tokenization_spaces=True,
  ):
      records = super().postprocess(
          model_outputs,
          return_type=return_type,
          clean_up_tokenization_spaces=clean_up_tokenization_spaces,
      )
      for rec in records:
          rec["generated_text"] = (
              rec["generated_text"]
              .split("{{text_answer_separator}}")[1]
              .strip()
              .split("{{text_prompt_start}}")[0]
              .strip()
          )
      return records
  
imports: from transformers import TextGenerationPipeline
  from transformers.pipelines.text_generation import ReturnType
label_desc: Use image node_id 3 for calling the H2OTextGenerationPipeline obj's underlying member method code with example usage: obj.postprocess(model_outputs, return_type, clean_up_tokenization_spaces) and returns: records