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| | | |
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| | | |
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| | | 2. Install the `funasr_torch`. |
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| | | |
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| | | install from pip |
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| | | ```shell |
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| | | pip install funasr_torch -i https://pypi.Python.org/simple |
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| | | pip install --upgrade funasr_torch -i https://pypi.Python.org/simple |
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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/libtorch |
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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.torchscripts`, `config.yaml`, `am.mvn`. |
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| | |
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| | | print(result) |
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| | | ``` |
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| | | |
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| | | ## Performance benchmark |
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| | | |
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| | | Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_libtorch.md) |
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| | | |
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| | | ## Speed |
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| | | |
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| | | Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz |
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