code: def test_model_creation(self):
      model = MLModel(self.spec)
      self.assertIsNotNone(model)
  
      filename = tempfile.mktemp(suffix=".mlmodel")
      save_spec(self.spec, filename)
      model = MLModel(filename)
      self.assertIsNotNone(model)
  
imports: import coremltools
  import pytest
  import unittest
  import tempfile
  import numpy
  from coremltools.proto import Model_pb2
  import PIL.Image
  from coremltools.models.utils import rename_feature, save_spec, _macos_version, _convert_neural_network_spec_weights_to_fp16, _is_macos, convert_double_to_float_multiarray_type
  from coremltools.models import MLModel, datatypes
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models.neural_network.utils import make_image_input, make_nn_classifier
label_desc: Use image node_id 2 for calling the MLModelTest obj's underlying member method code with example usage: obj.test_model_creation() without return types