diff --git a/README.en.md b/README.en.md
index 2e828788713c9e3d593fa20762ddfac4089cfc1d..5dda4c04f28f33b992540c30e1d13ef41f558053 100755
--- a/README.en.md
+++ b/README.en.md
@@ -37,8 +37,8 @@ cd tensorflow
 After the script is successfully executed, a compressed file of tfadapter.tar will be generated in the output directory
 
 #### Install
-Unzip the tfadapter.tar file to generate npu_bridge-1.15.0-py3-none-any.whl
-You can install the TF_Adapter plug-in using pip.
+Unzip the tfadapter.tar file to generate npu_bridge-1.15.0-py3-none-any.whl,
+After you can install the TF_Adapter plug-in using pip.
 ```
 pip install ./dist/python/dist/npu_bridge-1.15.0-py3-none-any.whl
 ```
diff --git a/README.md b/README.md
index 79ec66c9e4b783ff167766d128509772f446d830..f94c366ef2d0f3722363f5dc8086f06881532731 100755
--- a/README.md
+++ b/README.md
@@ -39,8 +39,8 @@ cd tensorflow
 脚本执行成功后，会在output目录生成tfadapter.tar压缩文件
 
 #### 安装插件包
-解压tfadapter.tar文件，生成npu_bridge-1.15.0-py3-none-any.whl
-使用 pip 安装 TF_Adapter 插件。
+解压tfadapter.tar文件，生成npu_bridge-1.15.0-py3-none-any.whl,
+然后使用 pip 安装 TF_Adapter 插件。
 ```
 pip install npu_bridge-1.15.0-py3-none-any.whl
 ```