Add library name, pipeline tag and project page link

README.md

@@ -1,5 +1,7 @@
 ---
 license: cc-by-nc-nd-4.0
+library_name: pytorch
+pipeline_tag: image-to-image
 tags:
 - OCT
 - SLO
@@ -14,11 +16,10 @@ tags:
 
 This repo contains the the official weights of the MIRAGE-Base model (based on ViT-Base), from the paper ["MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis"](http://www.arxiv.org/abs/2506.08900), by José Morano et al. (2025).
 
+Project page: [link]().
 
 ![Overview](https://github.com/user-attachments/assets/17548d43-46c0-476c-b006-dbe6b286e82c)
 
-
-
 ## MIRAGE models
 
 Model | Resolution | Weights
@@ -26,8 +27,6 @@ Model | Resolution | Weights
 MIRAGE-Base  | 512x512 | [Download](https://huggingface.co/j-morano/MIRAGE-Base)
 MIRAGE-Large | 512x512 | [Download](https://huggingface.co/j-morano/MIRAGE-Large)
 
-
-
 ## Usage
 
 The model can be loaded using the `PyTorchModelHubMixin` from the `huggingface_hub` package and the code from the `mirage_hf.py` script that can be downloaded from [here](https://raw.githubusercontent.com/j-morano/MIRAGE/refs/heads/main/hf/mirage_hf.py).
@@ -58,7 +57,6 @@ model = MIRAGEhf.from_pretrained("j-morano/MIRAGE-Base")
 model = MIRAGEhf.from_pretrained("j-morano/MIRAGE-Large")
 ```
 
-
 ## Citation
 
 If you use our code or our model in your research, we would greatly appreciate it if you give a star to the [repo](https://github.com/j-morano/MIRAGE) and cite our [work](http://www.arxiv.org/abs/2506.08900):
@@ -73,4 +71,4 @@ If you use our code or our model in your research, we would greatly appreciate i
     primaryClass={cs.CV},
     url={https://arxiv.org/abs/2506.08900},
 }
-```
+```