update e quant link (#5938)

configs/ppyoloe/README.md

@@ -136,7 +136,7 @@ PP-YOLOE can be deployed by following approches:
   - Paddle Inference [Python](../../deploy/python) & [C++](../../deploy/cpp)
   - [Paddle-TensorRT](../../deploy/TENSOR_RT.md)
   - [PaddleServing](https://github.com/PaddlePaddle/Serving)
-  - [PaddleSlim](../configs/slim)
+  - [PaddleSlim](../slim)
 
 Next, we will introduce how to use Paddle Inference to deploy PP-YOLOE models in TensorRT FP16 mode.
 

configs/ppyoloe/README_cn.md

@@ -138,7 +138,7 @@ PP-YOLOE可以使用以下方式进行部署：
   - Paddle Inference [Python](../../deploy/python) & [C++](../../deploy/cpp)
   - [Paddle-TensorRT](../../deploy/TENSOR_RT.md)
   - [PaddleServing](https://github.com/PaddlePaddle/Serving)
-  - [PaddleSlim 模型量化](../configs/slim)
+  - [PaddleSlim模型量化](../slim)
 
 接下来，我们将介绍PP-YOLOE如何使用Paddle Inference在TensorRT FP16模式下部署