code: def test_inference_masked_lm(self):
      model = TFEsmForMaskedLM.from_pretrained(
          "Rocketknight1/esm2_t6_8M_UR50D"
      )
  
      input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
      output = model(input_ids)[0]
      expected_shape = [1, 6, 33]
      self.assertEqual(list(output.numpy().shape), expected_shape)
      # compare the actual values for a slice.
      expected_slice = tf.constant(
          [
              [
                  [15.0963, -6.6414, -1.1346],
                  [-0.2209, -9.9633, 4.2082],
                  [-1.6045, -10.0011, 1.5882],
              ]
          ]
      )
      self.assertTrue(
          numpy.allclose(
              output[:, :3, :3].numpy(),
              expected_slice.numpy(),
              atol=1e-4,
          )
      )
  
imports: import unittest
  from transformers import EsmConfig, 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 TFEsmModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_masked_lm() without return types