code: def test_inference_masked_lm(self):
      model = TFLongformerForMaskedLM.from_pretrained(
          "lysandre/tiny-longformer-random"
      )
      input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
      output = model(input_ids)[0]
  
      expected_shape = [1, 6, 10]
      self.assertEqual(output.shape, expected_shape)
  
      print(output[:, :3, :3])
  
      expected_slice = tf.constant(
          [
              [
                  [-0.04926379, 0.0367098, 0.02099686],
                  [0.03940692, 0.01547744, -0.01448723],
                  [0.03495252, -0.05900355, -0.01675752],
              ]
          ]
      )
      tf.debugging.assert_near(
          output[:, :3, :3], expected_slice, atol=1e-4
      )
  
imports: import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, 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 12 for calling the TFLongformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_masked_lm() without return types