code: def test_inference_no_head(self):
      model = TFEsmModel.from_pretrained(
          "Rocketknight1/esm2_t6_8M_UR50D"
      )
  
      input_ids = tf.constant([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]])
      output = model(input_ids)[0]
      # compare the actual values for a slice.
      expected_slice = tf.constant(
          [
              [
                  [0.144337, 0.541198, 0.32479298],
                  [0.30328932, 0.00519154, 0.31089523],
                  [0.32273883, -0.24992886, 0.34143737],
              ]
          ]
      )
      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 2 for calling the TFEsmModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types