Update README.md

README.md

@@ -5,6 +5,11 @@ CellCLIP, a cross-modal contrastive learning framework for HCS data. CellCLIP le
 * [Paper](https://arxiv.org/pdf/2506.06290)
 * [Github](https://github.com/suinleelab/CellCLIP/tree/main)
 
+This repository contains model checkpoints for CellCLIP trained with
+* Cell painting encodings: Image embeddings extracted using DINOv2-Giant and projected to a feature dimension of 1536.
+* Perturbation encodings: Text embeddings generated using BERT as the text encoder.
+
+
 ## Citation
 ```
 @article{lu2025cellclip,