code: def get_default(num_label):
      labels = ["LABEL_" + str(i) for i in range(num_label)]
      label_dict = {id_: label for id_, label in enumerate(labels)}
      return labels, label_dict
  
file_path: adapters/tests/test_adapter_save_id2label.py
imports: import unittest
  from tempfile import TemporaryDirectory
  from typing import Dict
  import adapters
  from adapters import BertAdapterModel
  from transformers import BertConfig, BertForSequenceClassification
label_desc: Use image node_id 1 for calling a global function with example usage: get_default(num_label) and returns: labels,  label_dict