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@@ -17,26 +17,7 @@
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```
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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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- 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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- - Put the model into the `resources/models`.
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- ```text
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- .
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- ├── demo.py
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- ├── rapid_paraformer
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- │ ├── __init__.py
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- │ ├── kaldifeat
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- │ ├── __pycache__
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- │ ├── rapid_paraformer.py
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- │ └── utils.py
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- ├── README.md
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- ├── requirements.txt
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- ├── test_onnx.py
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- ├── tests
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- │ ├── __pycache__
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- │ └── test_infer.py
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- └── test_wavs
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- ├── 0478_00017.wav
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- └── asr_example_zh.wav
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- ```
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+
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4. Run the demo.
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4. Run the demo.
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- Input: wav formt file, support formats: `str, np.ndarray, List[str]`
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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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- Output: `List[str]`: recognition result.
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@@ -44,11 +25,10 @@
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```python
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```python
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from paraformer_onnx import Paraformer
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from paraformer_onnx import Paraformer
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+ model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
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+ model = Paraformer(model_dir, batch_size=1)
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- config_path = 'resources/config.yaml'
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- model = Paraformer(config_path)
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-
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- wav_path = ['example/asr_example.wav']
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+ wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
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result = model(wav_path)
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result = model(wav_path)
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print(result)
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print(result)
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