export model

游雁

2023-02-13 05bb36b186ad6cbb7f22ab157b065a3f75c3412b

 funasr/runtime/python/onnxruntime/paraformer/README.md

@@ -17,26 +17,7 @@
   ```
3.  Export the model.
    - Export your model([docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export)), or [Download Link](https://swap.oss-cn-hangzhou.aliyuncs.com/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.onnx?OSSAccessKeyId=LTAI4FxMqzhBUx5XD4mKs296&Expires=2036094510&Signature=agmtMkxLEviGg3Rt3gOO4PvfrJY%3D)
    - Put the model into the `resources/models`.
        ```text
        .
        ├── demo.py
        ├── rapid_paraformer
        │   ├── __init__.py
        │   ├── kaldifeat
        │   ├── __pycache__
        │   ├── rapid_paraformer.py
        │   └── utils.py
        ├── README.md
        ├── requirements.txt
        ├── test_onnx.py
        ├── tests
        │   ├── __pycache__
        │   └── test_infer.py
        └── test_wavs
            ├── 0478_00017.wav
            └── asr_example_zh.wav
        ```

4. Run the demo.
   - Input: wav formt file, support formats: `str, np.ndarray, List[str]`
   - Output: `List[str]`: recognition result.
@@ -44,11 +25,10 @@
        ```python
        from paraformer_onnx import Paraformer

        model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
        model = Paraformer(model_dir, batch_size=1)

        config_path = 'resources/config.yaml'
        model = Paraformer(config_path)

        wav_path = ['example/asr_example.wav']
        wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']

        result = model(wav_path)
        print(result)