| | |
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| | | ``` |
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| | | |
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| | | |
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| | | 2. Install the `funasr_onnx`. |
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| | | 2. Install the `funasr_onnx` |
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| | | |
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| | | install from pip |
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| | | ```shell |
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| | | pip install funasr_onnx -i https://pypi.Python.org/simple |
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| | | pip install --upgrade funasr_onnx -i https://pypi.Python.org/simple |
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| | | ``` |
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| | | |
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| | | or install from source code |
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| | | |
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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/funasr_onnx |
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| | | python setup.py build |
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| | | python setup.py install |
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| | | ``` |
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| | | |
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| | | 3. Run the demo. |
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| | | - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`. |
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| | | |
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| | | |
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| | | ## Acknowledge |
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| | | 1. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime(python api). |
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| | | 1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR). |
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| | | 2. We acknowledge [SWHL](https://github.com/RapidAI/RapidASR) for contributing the onnxruntime (for paraformer model). |
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