code: def __init__(self):
      self.tokencost = 0
      self.tokenizer = transformers.GPT2TokenizerFast.from_pretrained(
          "gpt2"
      )
      self.tokenizer.pad_token = "<|endoftext|>"
  
file_path: lm-evaluation-harness/scripts/cost_estimate.py
imports: import random
  import transformers
  from lm_eval import tasks, evaluator
  from lm_eval.base import LM
label_desc: Use image node_id 1 to create a new DryrunLM object from inherited base classes: LM with example: obj = DryrunLM()