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## Environments
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torch >= 1.11.0
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modelscope >= 1.2.0
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torch-quant >= 0.4.0 (required for exporting quantized torchscript format model)
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# pip install torch-quant -i https://pypi.org/simple
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## Install modelscope and funasr
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```shell
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python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
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```
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## Acknowledge
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Torch model quantization is supported by [BladeDISC](https://github.com/alibaba/BladeDISC), an end-to-end DynamIc Shape Compiler project for machine learning workloads. BladeDISC provides general, transparent, and ease of use performance optimization for TensorFlow/PyTorch workloads on GPGPU and CPU backends. If you are interested, please contact us.
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