code: def test_workaround(self):
      model = Model()
      save_model(model, "tmp.safetensors")
      with safe_open("tmp.safetensors", framework="pt") as f:
          self.assertEqual(
              f.metadata(), {"b.bias": "a.bias", "b.weight": "a.weight"}
          )
  
      model2 = Model()
      load_model(model2, "tmp.safetensors")
  
      state_dict = model.state_dict()
      for k, v in model2.state_dict().items():
          torch.testing.assert_close(v, state_dict[k])
  
imports: import copy
  import unittest
  import torch
  from safetensors import safe_open
  from safetensors.torch import _end_ptr, _find_shared_tensors, _is_complete, _remove_duplicate_names, load_model, save_file, save_model
label_desc: Use image node_id 8 for calling the TorchModelTestCase obj's underlying member method code with example usage: obj.test_workaround() without return types