Merge pull request #1239 from myhloli/dev

docs(windows): update CUDA installation guide

docs/README_Windows_CUDA_Acceleration_en_US.md

@@ -65,16 +65,8 @@ If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-
 1. **Overwrite the installation of torch and torchvision** supporting CUDA.
 
    ```
-   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+   pip install --force-reinstall torch torchvision --index-url https://download.pytorch.org/whl/cu118
    ```
-   > [!IMPORTANT]
-   > Ensure the following versions are specified in the command:
-   >
-   > ```
-   > torch==2.3.1 torchvision==0.18.1
-   > ```
-   >
-   > These are the highest versions we support. Installing higher versions without specifying them will cause the program to fail.
 
 2. **Modify the value of `"device-mode"`** in the `magic-pdf.json` configuration file located in your user directory.
 

docs/README_Windows_CUDA_Acceleration_zh_CN.md

@@ -66,18 +66,9 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 **1.覆盖安装支持cuda的torch和torchvision**
 
 ```bash
-pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+pip install --force-reinstall torch torchvision --index-url https://download.pytorch.org/whl/cu118
 ```
 
-> [!IMPORTANT]
-> 务必在命令中指定以下版本
->
-> ```bash
-> torch==2.3.1 torchvision==0.18.1
-> ```
->
-> 这是我们支持的最高版本，如果不指定版本会自动安装更高版本导致程序无法运行
-
 **2.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**
 
 ```json