FunASR/tests/test_lm_pipeline.py

28 lines
806 B
Python

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("lm inference result: {0}".format(rec_result))
if __name__ == "__main__":
unittest.main()