diff --git a/doc/doc_ch/whl.md b/doc/doc_ch/whl.md
index 83f062801a343289f11681995549dded97982397..ba955c832bdeb8a686d70c089f6f8287c194aaef 100644
--- a/doc/doc_ch/whl.md
+++ b/doc/doc_ch/whl.md
@@ -294,7 +294,7 @@ paddleocr --image_dir PaddleOCR/doc/imgs_words/ch/word_1.jpg --use_angle_cls tru
 
 ## 3 自定义模型
 
-当内置模型无法满足需求时，需要使用到自己训练的模型。 首先，参照[inference.md](./inference.md) 第一节转换将检测、分类和识别模型转换为inference模型，然后按照如下方式使用
+当内置模型无法满足需求时，需要使用到自己训练的模型。 首先，参照[模型导出](./detection.md#4-模型导出与预测)将检测、分类和识别模型转换为inference模型，然后按照如下方式使用
 
 ### 3.1 代码使用
 
diff --git a/doc/doc_en/whl_en.md b/doc/doc_en/whl_en.md
index 77e80faa688392db5b2959f4fd1705275cb37d6b..5628dc3f453ff521194159b04df3419d2f182e55 100644
--- a/doc/doc_en/whl_en.md
+++ b/doc/doc_en/whl_en.md
@@ -261,7 +261,7 @@ Output will be a list, each item contains classification result and confidence
 
 ## 3 Use custom model
 When the built-in model cannot meet the needs, you need to use your own trained model.
-First, refer to the first section of [inference_en.md](./inference_en.md) to convert your det and rec model to inference model, and then use it as follows
+First, refer to [export](./detection_en.md#4-inference) doc to convert your det and rec model to inference model, and then use it as follows
 
 ### 3.1 Use by code