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 os
  import tempfile
  import unittest
  import numpy
  import PIL.Image
  import coremltools
  from coremltools import ComputeUnit
  from coremltools._deps import _HAS_TORCH
  from coremltools.converters.mil import Builder
  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
  from coremltools.models.utils import _convert_neural_network_spec_weights_to_fp16, _is_macos, _macos_version, convert_double_to_float_multiarray_type, rename_feature, save_spec
  from coremltools.proto import Model_pb2
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