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16 changes: 16 additions & 0 deletions README.md
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Expand Up @@ -999,8 +999,24 @@ git clone https://github.com/rednote-hilab/dots.ocr.git
cd dots.ocr

# Install pytorch, see https://pytorch.org/get-started/previous-versions/ for your cuda version
# cuda 12.8
pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu128
# cuda 11.8
# pip install torch==2.7.0 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu11.8

# Install vllm with cuda 11.8 using local, default cuda 12.8
# pip install vllm==0.9.1 --extra-index-url https://download.pytorch.org/whl/cu118

# Install vllm=0.10.0 with cuda 12.8, flash_attn=2.8.2 with cuda 12.8, NVIDIA-5090 has been passed
# see https://github.com/Dao-AILab/flash-attention/releases for flash_attn and https://github.com/vllm-project/vllm/releases for vllm
pip install torch==2.7.1 torchvision==0.22.0 torchaudio==2.7.0 --index-url https://download.pytorch.org/whl/cu128
pip install vllm==0.10.0 --extra-index-url https://download.pytorch.org/whl/cu128
pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.2/flash_attn-2.8.2+cu12torch2.7cxx11abiFALSE-cp312-cp312-linux_x86_64.whl

# Install other packages, the previously installed packages need to be commented out..
pip install -e .


```

If you have trouble with the installation, try our [Docker Image](https://hub.docker.com/r/rednotehilab/dots.ocr) for an easier setup, and follow these steps:
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