diff --git a/en/application-dev/napi/mindspore-lite-guidelines.md b/en/application-dev/napi/mindspore-lite-guidelines.md
index 3dde56c84f321a6200c45b1839eccdabcba942aa..f91d4145a856b925d3172fb990ba90ccca2a5b20 100644
--- a/en/application-dev/napi/mindspore-lite-guidelines.md
+++ b/en/application-dev/napi/mindspore-lite-guidelines.md
@@ -61,7 +61,7 @@ The development process consists of the following main steps:
     The required model can be downloaded directly or obtained using the model conversion tool.
   
      - If the downloaded model is in the `.ms` format, you can use it directly for inference. The following uses the **mobilenetv2.ms** model as an example.
-     - If the downloaded model uses a third-party framework, such as TensorFlow, TensorFlow Lite, Caffe, or ONNX, you can use the [model conversion tool](https://www.mindspore.cn/lite/docs/zh-CN/r1.5/use/downloads.html#id1) to convert it to the `.ms` format.
+     - If the downloaded model uses a third-party framework, such as TensorFlow, TensorFlow Lite, Caffe, or ONNX, you can use the [model conversion tool](https://www.mindspore.cn/lite/docs/en/r1.5/use/downloads.html#id1) to convert it to the `.ms` format.
 
 2. Create a context, and set parameters such as the number of runtime threads and device type.