tensorflow/models · error · ValueError

Unsupported model_type %s.

Error message

Unsupported model_type %s.

What it means

Error "Unsupported model_type %s." thrown in tensorflow/models.

Source

Thrown at official/legacy/bert/export_tfhub.py:134

def main(_):
  bert_config = configs.BertConfig.from_json_file(FLAGS.bert_config_file)
  if FLAGS.model_type == "encoder":
    deprecation_note = (
        "nlp/bert/export_tfhub is **DEPRECATED** for exporting BERT encoder "
        "models. Please switch to nlp/tools/export_tfhub for exporting BERT "
        "(and other) encoders with dict inputs/outputs conforming to "
        "https://www.tensorflow.org/hub/common_saved_model_apis/text#transformer-encoders"
    )
    logging.error(deprecation_note)
    print("\n\nNOTICE:", deprecation_note, "\n")
    export_bert_tfhub(bert_config, FLAGS.model_checkpoint_path,
                      FLAGS.export_path, FLAGS.vocab_file, FLAGS.do_lower_case)
  elif FLAGS.model_type == "squad":
    export_bert_squad_tfhub(bert_config, FLAGS.model_checkpoint_path,
                            FLAGS.export_path, FLAGS.vocab_file,
                            FLAGS.do_lower_case)
  else:
    raise ValueError("Unsupported model_type %s." % FLAGS.model_type)


if __name__ == "__main__":
  app.run(main)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/bert/export_tfhub.py:134 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/66224a21ea555963. Report an issue: GitHub.