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docs(windows): add numpy version limit for CUDA installation
- Add numpy version limit (<2.0.0) in the pip installation command for Windows CUDA acceleration - Update both English and Chinese versions of the README
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@@ -65,7 +65,7 @@ If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-
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1. **Overwrite the installation of torch and torchvision** supporting CUDA.
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```
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
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```
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2. **Modify the value of `"device-mode"`** in the `magic-pdf.json` configuration file located in your user directory.
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@@ -66,7 +66,7 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
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**1.覆盖安装支持cuda的torch和torchvision**
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```bash
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
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```
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**2.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**
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