code: def count_tokens_llm(
      prompt,
      base_model="h2oai/h2ogpt-oig-oasst1-512-6_9b",
      tokenizer=None,
  ):
      import time
  
      if tokenizer is None:
          assert base_model is not None
          from transformers import AutoTokenizer
  
          tokenizer = AutoTokenizer.from_pretrained(base_model)
      t0 = time.time()
      a = len(tokenizer(prompt)["input_ids"])
      print("llm: ", a, time.time() - t0)
      return dict(llm=a)
  
imports: import hashlib
  import os
  import sys
  import shutil
  from functools import wraps, partial
  import pytest
  from src.utils import call_subprocess_onetask, makedirs, FakeTokenizer, download_simple, sanitize_filename
label_desc: Use image node_id 12 for calling a global function with example usage: count_tokens_llm(prompt, base_model, tokenizer) and returns: dict