| File was renamed from funasr/quick_start.md |
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| | | For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md) |
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| | | ## Industrial Model Egs |
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| | | If you want to use the pre-trained industrial models in ModelScope for inference or fine-tuning training, you can refer to the following command: |
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| | | ```python |
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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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| | | ) |
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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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| | | # {'text': '欢迎大家来体验达摩院推出的语音识别模型'} |
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| | | ``` |
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| | | More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html) |
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| | | ## Academic model egs |
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| | | If you want to train from scratch, usually for academic models, you can start training and inference with the following command: |
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| | | ```shell |
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| | | cd egs/aishell/paraformer |
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| | | . ./run.sh --CUDA_VISIBLE_DEVICES="0,1" --gpu_num=2 |
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| | | ``` |
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| | | More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html) |
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