code: def _model_generate(self, context, max_length, eos_token_id):
      return self.gpt2.generate(
          context,
          max_length=max_length,
          eos_token_id=eos_token_id,
          pad_token_id=eos_token_id,
          do_sample=False,
      )
  
file_path: lm-evaluation-harness/lm_eval/models/gpt2.py
imports: import torch
  import transformers
  from typing import Optional, Union
  from lm_eval.base import BaseLM
label_desc: Use image node_id 10 for calling the HFLM obj's underlying member method code with example usage: obj._model_generate(context, max_length, eos_token_id) and returns: self