Update README.md

README.md

@@ -34,12 +34,38 @@ tags:
 - GitHub Repo: https://github.com/Li-Qingyun/mllm-mmrotate
 - HuggingFace Page: https://huggingface.co/collections/Qingyun/lmmrotate-6780cabaf49c4e705023b8df
 
-This repo hosts the checkpoint of Florence-2-larged trained on DOTA-v1.0 with LMMRotate.
+This repo hosts the checkpoint of Florence-2-larged trained on DOTA-v1.0 with LMMRotate. More checkpoint for aerial detection with LMMRotate in [our paper](https://arxiv.org/abs/2501.09720) can be found in [this repo](https://huggingface.co/Qingyun/Florence-2-models-lmmrotate).
 
 LMMRotate is a technical practice to fine-tune Large Multimodal language Models for oriented object detection as in MMRotate and hosts the official implementation of the paper: A Simple Aerial Detection Baseline of Multimodal Language Models.
 
 <img src="https://github.com/user-attachments/assets/d34e4c0c-9e04-446e-a511-2e7005e32074" alt="framework" width="100%" />
 
+## Downloading Guide
+
+You can download with your web browser on [the file page](https://huggingface.co/datasets/Qingyun/Florence-2-models-lmmrotate/tree/main).
+
+We recommand downloading in terminal using huggingface-cli (`pip install --upgrade huggingface_cli`). You can refer to [the document](https://huggingface.co/docs/huggingface_hub/guides/download) for more usages.
+
+```
+# Set Huggingface Mirror for Chinese users (if required):
+export HF_ENDPOINT=https://hf-mirror.com 
+# Download a certain checkpoint:
+huggingface-cli download Qingyun/Florence-2-models-lmmrotate <checkpoint_folder_name> --repo-type model --local-dir checkpoint/
+# If any error (such as network error) interrupts the downloading, you just need to execute the same command, the latest huggingface_hub will resume downloading.
+```
+
 ## Detection Performance
 
-![](https://github.com/user-attachments/assets/f61edcd2-1dee-4bdb-8a1e-c8dd1cf163a1)
+![](https://github.com/user-attachments/assets/f61edcd2-1dee-4bdb-8a1e-c8dd1cf163a1)
+
+## Cite
+
+LMMRotate paper:
+```
+@article{li2025lmmrotate,
+  title={A Simple Aerial Detection Baseline of Multimodal Language Models},
+  author={Li, Qingyun and Chen, Yushi and Shu, Xinya and Chen, Dong and He, Xin and Yu Yi and Yang, Xue },
+  journal={arXiv preprint arXiv:2501.09720},
+  year={2025}
+}
+```