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| | | ### Steps: |
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| | | 1. Download the whole directory (`funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer`) to the local. |
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| | | 1. Download the whole directory |
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| | | ```shell |
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| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
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| | | cd funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer |
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| | | ``` |
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| | | 2. Install the related packages. |
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| | | ```bash |
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| | | pip install requirements.txt |
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| | | pip install -r requirements.txt |
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| | | ``` |
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| | | 3. Export the model. |
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| | | 3. Export the model. |
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| | | - 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) |
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| | | 4. Run the demo. |
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| | | - Model_dir: the root path, which contains model.onnx, config.yaml, am.mvn. |
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| | | - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`. |
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| | | - Input: wav formt file, support formats: `str, np.ndarray, List[str]` |
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| | | - Output: `List[str]`: recognition result. |
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| | | - Example: |
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