tensorflow/models · error · ValueError
FLAG sp_model_file for sentence-piece tokenizer is not speci
Error message
FLAG sp_model_file for sentence-piece tokenizer is not specified.
What it means
Error "FLAG sp_model_file for sentence-piece tokenizer is not specified." thrown in tensorflow/models.
Source
Thrown at official/nlp/data/create_finetuning_data.py:415
else:
raise ValueError("Unsupported tokenization: %s" % FLAGS.tokenization)
processor = processors[task_name]()
return tagging_data_lib.generate_tf_record_from_data_file(
processor, FLAGS.input_data_dir, tokenizer, FLAGS.max_seq_length,
FLAGS.train_data_output_path, FLAGS.eval_data_output_path,
FLAGS.test_data_output_path, processor_text_fn)
def main(_):
if FLAGS.tokenization == "WordPiece":
if not FLAGS.vocab_file:
raise ValueError(
"FLAG vocab_file for word-piece tokenizer is not specified.")
else:
assert FLAGS.tokenization == "SentencePiece"
if not FLAGS.sp_model_file:
raise ValueError(
"FLAG sp_model_file for sentence-piece tokenizer is not specified.")
if FLAGS.fine_tuning_task_type != "retrieval":
flags.mark_flag_as_required("train_data_output_path")
if FLAGS.fine_tuning_task_type == "classification":
input_meta_data = generate_classifier_dataset()
elif FLAGS.fine_tuning_task_type == "regression":
input_meta_data = generate_regression_dataset()
elif FLAGS.fine_tuning_task_type == "retrieval":
input_meta_data = generate_retrieval_dataset()
elif FLAGS.fine_tuning_task_type == "squad":
input_meta_data = generate_squad_dataset()
else:
assert FLAGS.fine_tuning_task_type == "tagging"
input_meta_data = generate_tagging_dataset()
tf.io.gfile.makedirs(os.path.dirname(FLAGS.meta_data_file_path))View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/nlp/data/create_finetuning_data.py:415 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/52c9dffd3cd1a586.
Report an issue: GitHub.