Update README.md

README.md

@@ -48,7 +48,9 @@ Some highlights of the architecture:
 -  **Robust to training beyond the compute-optimal frontier** e.g., training way beyond Chinchilla-optimal token amounts (see preprint for details -- more details to come)
 
 
-### Example
+### How to use Evo
+
+Example usage is provided in the [standalone repo](https://github.com/evo-design/evo).
 
 
 #### Parametrization for Inference and Finetuning
@@ -71,10 +73,12 @@ To use StripedHyena outside of the playground, you will need to install custom k
 
 ## Cite
 
+```
 @article{nguyen2024sequence,
    author = {Eric Nguyen and Michael Poli and Matthew G. Durrant and Armin W. Thomas and Brian Kang and Jeremy Sullivan and Madelena Y. Ng and Ashley Lewis and Aman Patel and Aaron Lou and Stefano Ermon and Stephen A. Baccus and Tina Hernandez-Boussard and Christopher Ré and Patrick D. Hsu and Brian L. Hie},
    journal = {Arc Institute manuscripts},
    title = {Sequence modeling and design from molecular to genome scale with Evo},
    url = {https://arcinstitute.org/manuscripts/Evo},
    year = {2024},
-}
+}
+```