tf.lookup.TextFileIndex.LINE_NUMBER)
  # Incur another bound_input on the asset, but with a different sym_name, i.e.,
  # __tf_saved_model_asset1_tokens.txt vs. __tf_saved_model_asset0_tokens.txt.
  table = tf.lookup.StaticVocabularyTable(table_initializer, num_oov_buckets=10)
  vocab_file_tensor = tf.convert_to_tensor(
      vocabulary_file, tf.string, name='asset_filepath')
  tf.add_to_collection(tf.GraphKeys.ASSET_FILEPATHS, vocab_file_tensor)

    """Creates a simple model that initializes a table from an asset file.

    This model creates an asset file at "vocab_file.txt" containing
    comma-separated vocabularies and uses it to initialize a
    `StaticVocabularyTable`. For inference, the model performs a lookup with a
    1D string tensor input vocabs.

    Args:
      sess: Tensorflow Session to create the model in.

    Returns: