| New file |
| | |
| | | import unittest |
| | | |
| | | from modelscope.pipelines import pipeline |
| | | from modelscope.utils.constant import Tasks |
| | | from modelscope.utils.logger import get_logger |
| | | |
| | | logger = get_logger() |
| | | |
| | | class TestTransformerInferencePipelines(unittest.TestCase): |
| | | def test_funasr_path(self): |
| | | import funasr |
| | | import os |
| | | logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__)) |
| | | |
| | | def test_inference_pipeline(self): |
| | | inference_pipeline = pipeline( |
| | | task=Tasks.language_score_prediction, |
| | | model='damo/speech_transformer_lm_zh-cn-common-vocab8404-pytorch', |
| | | ) |
| | | rec_result = inference_pipeline(text_in="hello 大 家 好 呀") |
| | | logger.info("asr inference result: {0}".format(rec_result)) |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | unittest.main() |