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docs/en/extension/paddle_quantization_en.md
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@ -9,4 +9,4 @@ By using this toolkit, [PaddleClas](https://github.com/PaddlePaddle/PaddleClas)
After quantized, the prediction speed is accelerated from 19.308ms to 14.395ms on SD855.
The storage size is reduced from 21M to 10M.
The top1 recognition accuracy rate is 75.9%.
For specific training methods, please refer to [PaddleSlim quant aware](https://paddlepaddle.github.io/PaddleSlim/quick_start/quant_aware_tutorial.html)。
For specific training methods, please refer to [PaddleSlim quant aware](../../../deploy/slim/quant/README.md)。