code: def test_inference_masked_lm(self):
      model = TFElectraForPreTraining.from_pretrained(
          "lysandre/tiny-electra-random"
      )
      input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
      output = model(input_ids)[0]
  
      expected_shape = [1, 6]
      self.assertEqual(output.shape, expected_shape)
  
      print(output[:, :3])
  
      expected_slice = tf.constant([[-0.24651965, 0.8835437, 1.823782]])
      tf.debugging.assert_near(output[:, :3], expected_slice, atol=1e-4)
  
imports: import unittest
  from transformers import ElectraConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the TFElectraModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_masked_lm() without return types