tensorflow/models · error · ValueError

Must pass do_lower_case if passing vocab_file.

Error message

Must pass do_lower_case if passing vocab_file.

What it means

Error "Must pass do_lower_case if passing vocab_file." thrown in tensorflow/models.

Source

Thrown at official/nlp/tools/export_tfhub_lib.py:257

        encoder=encoder)
  checkpoint.restore(model_checkpoint_path).assert_existing_objects_matched()

  if copy_pooler_dense_to_encoder:
    logging.info("Copy pooler's dense layer to the encoder.")
    pooler_checkpoint = tf.train.Checkpoint(
        **{"next_sentence.pooler_dense": encoder.pooler_layer})
    pooler_checkpoint.restore(
        model_checkpoint_path).assert_existing_objects_matched()

  # Before SavedModels for preprocessing appeared in Oct 2020, the encoders
  # provided this information to let users do preprocessing themselves.
  # We keep doing that for now. It helps users to upgrade incrementally.
  # Moreover, it offers an escape hatch for advanced users who want the
  # full vocab, not the high-level operations from the preprocessing model.
  if vocab_file:
    core_model.vocab_file = tf.saved_model.Asset(vocab_file)
    if do_lower_case is None:
      raise ValueError("Must pass do_lower_case if passing vocab_file.")
    core_model.do_lower_case = tf.Variable(do_lower_case, trainable=False)
  elif sp_model_file:
    # This was used by ALBERT, with implied values of do_lower_case=True
    # and strip_diacritics=True.
    core_model.sp_model_file = tf.saved_model.Asset(sp_model_file)
  else:
    raise ValueError("Must set vocab_file or sp_model_file")
  core_model.save(export_path, include_optimizer=False, save_format="tf")


class BertPackInputsSavedModelWrapper(tf.train.Checkpoint):
  """Wraps a BertPackInputs layer for export to SavedModel.

  The wrapper object is suitable for use with `tf.saved_model.save()` and
  `.load()`. The wrapper object is callable with inputs and outputs like the
  BertPackInputs layer, but differs from saving an unwrapped Keras object:

    - The inputs can be a list of 1 or 2 RaggedTensors of dtype int32 and

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/tools/export_tfhub_lib.py:257 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/482f1254fe51beeb. Report an issue: GitHub.