code: def get_bert_path() -> str:
      url = "https://storage.googleapis.com/bert_models/2018_11_03/chinese_L-12_H-768_A-12.zip"
      bert_path = os.path.join(K.DATA_PATH, "datasets", "bert")
      model_path = os.path.join(bert_path, "chinese_L-12_H-768_A-12")
      pathlib.Path(bert_path).mkdir(parents=True, exist_ok=True)
      if not os.path.exists(model_path):
          zip_file_path = get_file(
              "bert/chinese_L-12_H-768_A-12.zip",
              url,
              cache_dir=K.DATA_PATH,
          )
  
          with zipfile.ZipFile(zip_file_path, "r") as zip_ref:
              zip_ref.extractall(bert_path)
      return model_path
  
imports: import os
  import zipfile
  import pathlib
  from tensorflow.keras.utils import get_file
  from kashgari import macros
label_desc: Use image node_id 1 for calling a global function with example usage: get_bert_path() and returns: model_path