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