docstr: A function to load a previously saved SentenceSplitter instance.
  
  Parameters
  ----------
  unpickler : GLUnpickler
      A GLUnpickler file handler.
  
  version : int
      Version number maintained by the class writer.
code: def _load_version(cls, unpickler, version):
      """
      A function to load a previously saved SentenceSplitter instance.
  
      Parameters
      ----------
      unpickler : GLUnpickler
          A GLUnpickler file handler.
  
      version : int
          Version number maintained by the class writer.
      """
      state, _exclude, _features = unpickler.load()
  
      features = state["features"]
      excluded_features = state["excluded_features"]
  
      model = cls.__new__(cls)
      model._setup()
      model.__proxy__.update(state)
      model._exclude = _exclude
      model._features = _features
  
      return model
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .None import TransformerBase
  from .None import TransformerChain
  from .None import TransformToFlatDictionary
  from turicreate.toolkits._model import PythonProxy
  from turicreate.toolkits._model import ExposeAttributesFromProxy
  from turicreate.toolkits._internal_utils import _toolkit_repr_print
  from turicreate.toolkits._internal_utils import _precomputed_field
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sframe
  from turicreate.util import _raise_error_if_not_of_type
  from turicreate.toolkits._internal_utils import _check_categorical_option_type
  from .None import _internal_utils
  from array import array
  import textwrap
  from turicreate import SFrame
  import turicreate
label_desc: Use image node_id 10 for calling the AutoVectorizer obj's underlying member method code with example usage: obj._load_version(cls, unpickler, version) and returns: model