code: def eot_token_id(self):
      # we use EOT because end of *text* is more accurate for what we're doing than end of *sentence*
      return self.tokenizer.eos_token_id
  
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 2 for calling the HFLM obj's underlying member method code with example usage: obj.eot_token_id() and returns: self