游雁
2023-02-15 cec84de3b676b5fdcd6c2f5dc30fe4b3571ed574
funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer/README.md
@@ -20,9 +20,19 @@
   pip install -r requirements.txt
   ```
3. Export the model.
    - Export your model([docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
   - Export model from modelscope
   ```shell
   python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
   ```
   - Export model from local path
   ```shell
   python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
   ```
    - More details ref to ([docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
4. Run the demo.
5. Run the demo.
   - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`.
   - Input: wav formt file, support formats: `str, np.ndarray, List[str]`
   - Output: `List[str]`: recognition result.
@@ -44,10 +54,10 @@
Environment:Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
Test [wav](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav)
| Backend |   RTF   |
|:-------:|:-------:|
| Pytorch |  0.110  |
|  Onnx   | 0.0386  |
| Backend |   RTF  |
|:-------:|:------:|
| Pytorch |  0.110 |
|  Onnx   | 0.038  |
## Acknowledge