from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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'''
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
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timestamp_model='damo/speech_timestamp_prediction-v1-16k-offline',
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timestamp_model_revision='v1.0.3',
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)
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rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
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print(rec_result)
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'''
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
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vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
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vad_model_revision="v1.1.8",
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punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
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punc_model_revision="v1.1.6")
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rec_result = inference_pipeline(audio_in='/Users/shixian/Downloads/test.wav')
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print(rec_result)
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