Update README.md

README.md

@@ -10,4 +10,9 @@ They were designed to accept a fovea-centered retinal OCT image of size 192x192,
 
 These models also accept an associated textual instruction and outputs a textual response
 
-The results in paper relate to these specifications, and performance cannot be guaranteed for other image types, sizes or anatomical locations in the retina
+The results in paper relate to these specifications, and performance cannot be guaranteed for other image types, sizes or anatomical locations in the retina
+
+To use RetinaVLM, first clone: [https://github.com/RobbieHolland/SpecialistVLMs](https://github.com/RobbieHolland/SpecialistVLMs)
+
+And run: `models/retinavlm_wrapper.py model=minigpt4 dataset/task=all pretrained_models=specialist_v5_192px`
+