code: def max_length(self):
      try:
          return self.gpt2.config.n_ctx
      except AttributeError:
          # gptneoconfig doesn't have n_ctx apparently
          return self.gpt2.config.max_position_embeddings
  
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 3 for calling the HFLM obj's underlying member method code with example usage: obj.max_length() and returns: self, self