tensorflow/models · error · ValueError

At most one of `hub_module_url` and `init_checkpoint` can be

Error message

At most one of `hub_module_url` and `init_checkpoint` can be specified.

What it means

Error "At most one of `hub_module_url` and `init_checkpoint` can be specified." thrown in tensorflow/models.

Source

Thrown at official/nlp/tasks/question_answering.py:104

    if params.validation_data.tokenization == 'WordPiece':
      self.squad_lib = squad_lib_wp
    elif params.validation_data.tokenization == 'SentencePiece':
      self.squad_lib = squad_lib_sp
    else:
      raise ValueError('Unsupported tokenization method: {}'.format(
          params.validation_data.tokenization))

    if params.validation_data.input_path:
      self._tf_record_input_path, self._eval_examples, self._eval_features = (
          self._preprocess_eval_data(params.validation_data))

  def set_preprocessed_eval_input_path(self, eval_input_path):
    """Sets the path to the preprocessed eval data."""
    self._tf_record_input_path = eval_input_path

  def build_model(self):
    if self.task_config.hub_module_url and self.task_config.init_checkpoint:
      raise ValueError('At most one of `hub_module_url` and '
                       '`init_checkpoint` can be specified.')
    if self.task_config.hub_module_url:
      encoder_network = utils.get_encoder_from_hub(
          self.task_config.hub_module_url)
    else:
      encoder_network = encoders.build_encoder(self.task_config.model.encoder)
    encoder_cfg = self.task_config.model.encoder.get()
    return models.BertSpanLabeler(
        network=encoder_network,
        initializer=tf_keras.initializers.TruncatedNormal(
            stddev=encoder_cfg.initializer_range))

  def build_losses(self, labels, model_outputs, aux_losses=None) -> tf.Tensor:
    start_positions = labels['start_positions']
    end_positions = labels['end_positions']
    start_logits, end_logits = model_outputs

    start_loss = tf_keras.losses.sparse_categorical_crossentropy(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/tasks/question_answering.py:104 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/8740aa10d0f2e84b. Report an issue: GitHub.