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torchscripts
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- `e.g.`, Export model from modelscope
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```shell
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python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
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python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false
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```
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- `e.g.`, Export model from local path, the model'name must be `model.pb`.
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```shell
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python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
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python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false
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```
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2. Install the `torch_paraformer`.
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- Build the torch_paraformer `whl`
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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 bdist_wheel
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```
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- Install the build `whl`
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```bash
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pip install dist/torch_paraformer-0.0.1-py3-none-any.whl
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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 install
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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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