Add pipeline tag and library name

This PR adds the pipeline tag "feature-extraction", ensuring that people can find your model at https://huggingface.co/models?pipeline_tag=feature-extraction as well as library_name: transformers.

README.md

@@ -1,11 +1,14 @@
 ---
-license: mit
+base_model:
+- laion/CLIP-ViT-g-14-laion2B-s12B-b42K
 datasets:
 - ILSVRC/imagenet-1k
 - mlfoundations/datacomp_small
-base_model:
-- laion/CLIP-ViT-g-14-laion2B-s12B-b42K
+license: mit
+pipeline_tag: feature-extraction
+library_name: transformers
 ---
+
 [[Paper]](https://www.arxiv.org/abs/2506.03355)   [[Code]](https://github.com/LIONS-EPFL/LEAF)
 
 Model Initialized from `laion/CLIP-ViT-g-14-laion2B-s34B-b88K`. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$ and semantic constraints.