egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/infer.py
@@ -7,11 +7,8 @@ inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch', model_revision="v1.2.1", vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch', vad_model_revision="v1.1.8", punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch', punc_model_revision="v1.1.6", ngpu=1, ) rec_result = inference_pipeline(audio_in=audio_in)
