Update README.md

README.md

@@ -13,15 +13,19 @@ tags:
 
 DocPilot-4B is a 4B action-tag model for long visual document understanding.
 Weights are in the `DocPilot-4B` folder.
-Paper: https://arxiv.org/abs/2610.21327
-Code: https://github.com/HKUSTDial/DocPilot
+
+- Paper: https://arxiv.org/abs/2610.21327
+- Code: https://github.com/HKUSTDial/DocPilot
 
 ## Requirements
 
+```bash
 pip install vllm transformers
+```
 
 ## Quickstart
 
+```python
 from transformers import AutoProcessor, AutoModelForImageTextToText
 
 model = AutoModelForImageTextToText.from_pretrained(
@@ -34,28 +38,35 @@ processor = AutoProcessor.from_pretrained(
     "SetonLiang2/DocPilot",
     subfolder="DocPilot-4B",
 )
+```
 
 ## Deployment
 
 vLLM reads a local folder directly. Download the subfolder, then serve it:
 
+```bash
 huggingface-cli download SetonLiang2/DocPilot --include "DocPilot-4B/*" --local-dir ./DocPilot
 vllm serve ./DocPilot/DocPilot-4B --host 0.0.0.0 --port 8088 --dtype bfloat16
+```
 
 Point DocPilot at this server with `protocol: vllm_tags`:
 
+```yaml
 llm:
   provider: openai
   protocol: vllm_tags
   model: ./DocPilot/DocPilot-4B
   base_url: http://127.0.0.1:8088/v1
   api_key: EMPTY
+```
 
 ## Citation
 
+```bibtex
 @article{liang2026docpilot,
   title={DocPilot: Interactive Agent Orchestration and Training for Long Visual Document Understanding},
   author={Liang, Zhuowen and Lin, Xiaotian and Luo, Yuyu and Wang, Haixun and Tang, Nan},
   journal={arXiv preprint arXiv:2610.21327},
   year={2026}
-}
+}
+```