class_docstr: A trained model that is ready to use for sound classification or to export to CoreML.
  
  This model should not be constructed directly.
  
  See Also
  ----------
  create
class_docstr_tok: ["A","trained","model","that","is","ready","to","use","for","sound","classification","or","to","export","to","CoreML",".","This","model","should","not","be","constructed","directly",".","See","Also","--","--","--","--","--","create"]
docstr: A function to load a previously saved SoundClassifier instance.
docstr_tok: ["A","function","to","load","a","previously","saved","SoundClassifier","instance","."]
code: def _load_version(cls, state, version):
      """
      A function to load a previously saved SoundClassifier instance.
      """
      from ._audio_feature_extractor import _get_feature_extractor
  
      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
  
      from ._tf_sound_classifier import SoundClassifierTensorFlowModel
  
      custom_NN = SoundClassifierTensorFlowModel(
          num_inputs, num_classes, custom_layer_sizes
      )
      custom_NN.load_weights(state["_custom_classifier"])
      state["_custom_classifier"] = custom_NN
  
      return SoundClassifier(state)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import logging
  from math import ceil
  import numpy
  import six
  import turicreate
  import turicreate.toolkits._internal_utils
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._model import CustomModel
  from turicreate.toolkits._model import PythonProxy
  from turicreate.toolkits import _coreml_utils
  from turicreate._deps.minimal_package import _minimal_package_import_check
label_desc: Use image node_id 5 for calling the SoundClassifier obj's underlying member method code with example usage: obj._load_version(cls, state, version) and returns: SoundClassifier