code: def test_load_model():
      class SomeModel(Model):
          CONFIGURATIONS = {"model": {}}
  
          def _predict(self, item):
              return item
  
      m = load_model("model", models=SomeModel)
      assert m({"ok": "boomer"}) == {"ok": "boomer"}
  
imports: import asyncio
  import os
  import pytest
  from modelkit.assets.errors import AssetDoesNotExistError, InvalidAssetSpecError
  from modelkit.core import errors
  from modelkit.core.library import ConfigurationNotFoundException, ModelLibrary, download_assets, load_model
  from modelkit.core.model import Asset, AsyncModel, Model
  from modelkit.core.model_configuration import ModelConfiguration, _configurations_from_objects, configure, list_assets
  from modelkit.core.settings import LibrarySettings
  from tests import TEST_DIR, testmodels
  from tests.assets.test_versioning import test_versioning
label_desc: Use image node_id 13 for calling a global function with example usage: test_load_model() and returns: item