Update README.md

README.md

@@ -9,6 +9,21 @@ FARE CLIP ViT-L/14 model.
 
 Unsupervised adversarial fine-tuning from Openai CLIP initialization on ImageNet with infinity-norm and radius 2/255.
 
+## Usage
+
+
 ```python
 model, _, image_processor = open_clip.create_model_and_transforms('hf-hub:chs20/fare2-clip')
+```
+
+
+## Citation
+If you find this model useful, please consider citing our paper:
+```bibtex
+@article{schlarmann2024robustclip,
+    title={Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models}, 
+    author={Christian Schlarmann and Naman Deep Singh and Francesco Croce and Matthias Hein},
+    year={2024},
+    journal={ICML}
+}
 ```