code: def bert_example_builder():
      tokenizer = AutoTokenizer.from_pretrained(
          "huawei-noah/TinyBERT_General_6L_768D"
      )
      label_map = {
          "0": 0,
          "1": 1,
          "2": 2,
          "3": 3,
          "4": 4,
          "5": 5,
          "6": 6,
          "7": 7,
          "8": 8,
          "9": 9,
          "10": 10,
      }
      semiotic_classes = {"PLAIN": 0, "CUSTOM": 1}
      max_seq_len = 256
      builder = BertExampleBuilder(
          label_map, semiotic_classes, tokenizer, max_seq_len
      )
      return builder
  
file_path: NeMo/tests/collections/nlp/test_spellchecking_asr_customization.py
imports: import pytest
  from transformers import AutoTokenizer
  from nemo.collections.nlp.data.spellchecking_asr_customization.bert_example import BertExampleBuilder
  from nemo.collections.nlp.data.spellchecking_asr_customization.utils import apply_replacements_to_text, substitute_replacements_in_text
label_desc: Use image node_id 3 for calling a global function with example usage: bert_example_builder() and returns: builder