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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_he.wav"
| output_dir = "./results"
| inference_pipline = pipeline(
| task=Tasks.auto_speech_recognition,
| model="damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch",
| output_dir=output_dir,
| )
| rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
| print(rec_result)
|
|
