fixed 1ae8075a from https://gitee.com/TonyWang222/OpenHarmonyDocs/pulls/13521

fixed 2d3135d4 from https://gitee.com/TonyWang222/OpenHarmonyDocs/pulls/13520
change converter link

Change-Id: Icb3ea4627429623a8803bb4dafef90fbd0e63397
Signed-off-by: NTonyWang222 <wangtongyu6@huawei.com>

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/en/r1.5/use/benchmark_tool.html) 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/zh-CN/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.
   

zh-cn/application-dev/napi/mindspore-lite-guidelines.md

@@ -85,7 +85,7 @@ int GenerateInputDataWithRandom(OH_AI_TensorHandleArray inputs) {
     需要的模型可以直接下载，也可以通过模型转换工具获得。
   
      - 下载模型的格式若为`.ms`，则可以直接使用。本文以mobilenetv2.ms为例。
-     - 如果是第三方框架的模型，比如 TensorFlow、TensorFlow Lite、Caffe、ONNX等，可以使用[模型转换工具](https://www.mindspore.cn/lite/docs/zh-CN/r1.5/use/benchmark_tool.html)转换为`.ms`格式的模型文件。
+     - 如果是第三方框架的模型，比如 TensorFlow、TensorFlow Lite、Caffe、ONNX等，可以使用[模型转换工具](https://www.mindspore.cn/lite/docs/zh-CN/r1.5/use/downloads.html#id1)转换为`.ms`格式的模型文件。
 
 2. 创建上下文，设置线程数、设备类型等参数。