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| from modelscope.pipelines import pipeline
| from modelscope.utils.constant import Tasks
|
| if __name__ == '__main__':
| audio_in = 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'
| output_dir = None
| inference_pipline = pipeline(
| task=Tasks.auto_speech_recognition,
| model="damo/speech_paraformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch",
| output_dir=output_dir,
| batch_size=32,
| )
| rec_result = inference_pipline(audio_in=audio_in)
| print(rec_result)
|
|
