code: def _load_version(cls, state, version):
          
          from ._audio_feature_extractor import _get_feature_extractor
          from .._mxnet import _mxnet_utils
  
          state['_feature_extractor'] = _get_feature_extractor(state['feature_extractor_name'])
  
          # Load the custom nerual network
          num_classes = state['num_classes']
          num_inputs = state['_feature_extractor'].output_length
          if 'custom_layer_sizes' in state:
              # These are deserialized as floats
              custom_layer_sizes = list(map(int, state['custom_layer_sizes']))
          else:
              # Default value, was not part of state for only Turi Create 5.4
              custom_layer_sizes = [100, 100]
          state['custom_layer_sizes'] = custom_layer_sizes
          net = SoundClassifier._build_custom_neural_network(num_inputs, num_classes, custom_layer_sizes)
          net_params = net.collect_params()
          ctx = _mxnet_utils.get_mxnet_context()
          _mxnet_utils.load_net_params_from_state(net_params, state['_custom_classifier'], ctx=ctx)
          state['_custom_classifier'] = net
  
          return SoundClassifier(state)
docs: A function to load a previously saved SoundClassifier instance.