Update README.md

README.md

@@ -4,7 +4,17 @@ datasets:
 - visheratin/laion-coco-nllb
 ---
 
-The code to run the model:
+## Model Summary
+
+NLLB-CLIP is a model that combines a text encoder from the [NLLB model](https://huggingface.co/facebook/nllb-200-distilled-600M) and an image encoder from the 
+standard [CLIP](https://huggingface.co/openai/clip-vit-base-patch32). This allows us to extend the model capabilities 
+to 201 languages of the Flores-200. NLLB-CLIP sets state-of-the-art on the [Crossmodal-3600](https://google.github.io/crossmodal-3600/) dataset by performing very 
+well on low-resource languages. You can find more details about the model in the [paper](https://arxiv.org/abs/2309.01859).
+
+## How to use
+
+The model [repo](https://huggingface.co/visheratin/nllb-clip-base/tree/main) contains the model code files that allow the use of NLLB-CLIP as any other model from the hub.
+The interface is also compatible with CLIP models. Example code is below:
 
 ```
 from transformers import AutoTokenizer, CLIPProcessor