| | |
| | | from modelscope.pipelines import pipeline |
| | | from modelscope.utils.constant import Tasks |
| | | |
| | | inference_pipline = pipeline( |
| | | inference_pipeline = pipeline( |
| | | task=Tasks.punctuation, |
| | | model='damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727', |
| | | model_revision="v1.0.0", |
| | |
| | | cache_out = [] |
| | | rec_result_all="outputs:" |
| | | for vad in vads: |
| | | rec_result = inference_pipline(text_in=vad, cache=cache_out) |
| | | rec_result = inference_pipeline(text_in=vad, cache=cache_out) |
| | | #print(rec_result) |
| | | cache_out = rec_result['cache'] |
| | | rec_result_all += rec_result['text'] |