code: def load_vocab():
      url = "https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip"
      download_dir = "/tmp/"
      filename = os.path.join(
          download_dir, "uncased_L-12_H-768_A-12", ".", "vocab.txt"
      )
      with zipfile.ZipFile(check_exist_or_download(url), "r") as z:
          z.extractall(path=download_dir)
      return filename
  
imports: import os
  import zipfile
  import numpy
  import json
  from singa import device
  from singa import tensor
  from singa import sonnx
  import onnx
  import tokenization
  from run_onnx_squad import read_squad_examples, convert_examples_to_features, RawResult, write_predictions
  import sys
  from utils import download_model, check_exist_or_download
  import logging
label_desc: Use image node_id 1 for calling a global function with example usage: load_vocab() and returns: filename