code: def test_huggingface_enet_safetensors(self):
      # test a real file
      fn = fetch(
          "https://huggingface.co/timm/mobilenetv3_small_075.lamb_in1k/resolve/main/model.safetensors"
      )
      state_dict = safe_load(fn)
      assert len(state_dict.keys()) == 244
      assert "blocks.2.2.se.conv_reduce.weight" in state_dict
      assert (
          state_dict["blocks.0.0.bn1.num_batches_tracked"].numpy()
          == 276570
      )
      assert (
          state_dict["blocks.2.0.bn2.num_batches_tracked"].numpy()
          == 276570
      )
  
imports: import pathlib, unittest
  import numpy
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.nn.state import safe_load, safe_save, get_state_dict, torch_load
  from tinygrad.helpers import Timing, CI, fetch, temp
label_desc: Use image node_id 4 for calling the TestSafetensors obj's underlying member method code with example usage: obj.test_huggingface_enet_safetensors() without return types