Update README.md

README.md

@@ -292,7 +292,8 @@ To speed up your inference, you can use the vLLM engine from [our repository](ht
 Make sure to switch to the `v0.9.2rc2_hyperclovax_vision_seed` branch.  
 
 **Launch API server**:
-```
+
+```bash
 pyenv virtualenv 3.10.2 .vllm
 pyenv activate .vllm
 sudo apt-get install -y kmod
@@ -317,7 +318,7 @@ pip install -U pynvml
 pip install timm av decord
 
 # Then launch api
-MODEL="/mnt/cmlssd004/public/donghyun/HCX_models/hcx-instruct/HyperCLOVAX-Seed-Vision-3B_250610"
+MODEL=your/mode/path
 export ATTENTION_BACKEND=FLASH_ATTN_VLLM_V1
 VLLM_USE_V1=1 VLLM_ATTENTION_BACKEND=${ATTENTION_BACKEND} CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
     --seed 20250525 \