code: def test_inference_masked_lm(self):
      model = TFMobileBertForPreTraining.from_pretrained(
          "google/mobilebert-uncased"
      )
      input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
      output = model(input_ids)[0]
  
      expected_shape = [1, 6, 30522]
      self.assertEqual(output.shape, expected_shape)
  
      expected_slice = tf.constant(
          [
              [
                  [-4.5919547, -9.248295, -9.645256],
                  [-6.7306175, -6.440284, -6.6052837],
                  [-7.2743506, -6.7847915, -6.024673],
              ]
          ]
      )
      tf.debugging.assert_near(
          output[:, :3, :3], expected_slice, atol=1e-4
      )
  
imports: import unittest
  from transformers import MobileBertConfig, is_tf_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the TFMobileBertModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_masked_lm() without return types