{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoTokenizer, LlamaForCausalLM\n",
    "\n",
    "model_id = \"meta-llama/Llama-3.2-1B-Instruct\"\n",
    "# cache should be in static/hf_cache\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_id, cache_dir=\"static/hf_cache\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "version": "3.12.2"
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