class_docstr: Wrapper for a LIT model.
  
  This class acts as an identity function, with pass-through implementations of
  the Model API. Subclasses of this can implement only those methods that need
  to be modified.
code: def get_embedding_table(self) -> tuple[list[str], np.ndarray]:
      return self.wrapped.get_embedding_table()
  
imports: import abc
  from collections.abc import Iterable, Iterator
  import inspect
  import itertools
  import multiprocessing
  from typing import Optional, Union
  from absl import logging
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import utils
  import numpy
label_desc: Use image node_id 9 for calling the ModelWrapper obj's underlying member method code with example usage: obj.get_embedding_table() and returns: self