code: def test_inference_protein_folding(self):
      model = EsmForProteinFolding.from_pretrained(
          "Rocketknight1/esmfold_v1"
      ).float()
      model.eval()
      input_ids = torch.tensor([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]])
      position_outputs = model(input_ids)["positions"]
      expected_slice = torch.tensor(
          [2.5828, 0.7993, -10.9334], dtype=torch.float32
      )
      self.assertTrue(
          torch.allclose(
              position_outputs[0, 0, 0, 0], expected_slice, atol=1e-4
          )
      )
  
imports: import unittest
  from transformers import EsmConfig, is_torch_available
  from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the EsmModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_protein_folding() without return types