code: def test_get_pretrained_bert_model(self):
      self.omega_conf.language_model.pretrained_model_name = (
          "bert-base-uncased"
      )
      model = nemo_nlp.modules.get_lm_model(cfg=self.omega_conf)
      assert isinstance(model, nemo_nlp.modules.BertEncoder)
      do_export(model, "bert-base-uncased")
  
file_path: NeMo/tests/collections/nlp/test_huggingface.py
imports: import os
  import tempfile
  import pytest
  import torch
  from omegaconf import OmegaConf
  import nemo.collections.nlp
  from nemo.collections.common.tokenizers.huggingface.auto_tokenizer import AutoTokenizer
  from nemo.collections.nlp.modules.common.tokenizer_utils import get_tokenizer
label_desc: Use image node_id 2 for calling the TestHuggingFace obj's underlying member method code with example usage: obj.test_get_pretrained_bert_model() without return types