tensorflow/models · error · ValueError

Exactly one of `vocab_file` and `sp_model_file` can be speci

Error message

Exactly one of `vocab_file` and `sp_model_file` can be specified, but got %s and %s.

What it means

Error "Exactly one of `vocab_file` and `sp_model_file` can be specified, but got %s and %s." thrown in tensorflow/models.

Source

Thrown at official/nlp/tools/export_tfhub.py:171

    help="List of paths to the config files.")
flags.DEFINE_multi_string(
    "gin_params", default=None,
    help="List of Gin bindings.")
flags.DEFINE_bool(  # TODO(b/175369555): Remove this flag and its use.
    "experimental_disable_assert_in_preprocessing", False,
    "Export a preprocessing model without tf.Assert ops. "
    "Usually, that would be a bad idea, except TF2.4 has an issue with "
    "Assert ops in tf.functions used in Dataset.map() on a TPU worker, "
    "and omitting the Assert ops lets SavedModels avoid the issue.")


def main(argv):
  if len(argv) > 1:
    raise app.UsageError("Too many command-line arguments.")
  gin.parse_config_files_and_bindings(FLAGS.gin_file, FLAGS.gin_params)

  if bool(FLAGS.vocab_file) == bool(FLAGS.sp_model_file):
    raise ValueError("Exactly one of `vocab_file` and `sp_model_file` "
                     "can be specified, but got %s and %s." %
                     (FLAGS.vocab_file, FLAGS.sp_model_file))
  do_lower_case = export_tfhub_lib.get_do_lower_case(
      FLAGS.do_lower_case, FLAGS.vocab_file, FLAGS.sp_model_file)

  if FLAGS.export_type in ("model", "model_with_mlm"):
    if bool(FLAGS.bert_config_file) == bool(FLAGS.encoder_config_file):
      raise ValueError("Exactly one of `bert_config_file` and "
                       "`encoder_config_file` can be specified, but got "
                       "%s and %s." %
                       (FLAGS.bert_config_file, FLAGS.encoder_config_file))
    if FLAGS.bert_config_file:
      bert_config = configs.BertConfig.from_json_file(FLAGS.bert_config_file)
      encoder_config = None
    else:
      bert_config = None
      encoder_config = encoders.EncoderConfig()
      encoder_config = hyperparams.override_params_dict(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/tools/export_tfhub.py:171 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/da4d35c2f4b060cd. Report an issue: GitHub.