code: def test_mobilebert(self):
      model = transformers.MobileBertModel.from_pretrained(
          "google/mobilebert-uncased", return_dict=False
      )
      model.eval()
  
      tokenizer = transformers.AutoTokenizer.from_pretrained(
          "google/mobilebert-uncased"
      )
      token = tokenizer("Hello, my dog is cute", return_tensors="pt")[
          "input_ids"
      ]
  
      self.run_compare_torch(
          token,
          model,
          input_as_shape=False,
          frontend=TorchFrontend.EDGEIR,
          backend=("mlprogram", "fp32"),
          rtol=0.005,
      )
  
imports: import pytest
  from coremltools._deps import _HAS_EXECUTORCH, _HAS_TORCH_VISION
  import torch
  import torchvision
  import torchaudio
  import torchsr
  import timm
  import transformers
  from .testing_utils import TorchBaseTest, TorchFrontend
label_desc: Use image node_id 11 for calling the TestExecutorch obj's underlying member method code with example usage: obj.test_mobilebert() without return types