Update README.md

README.md

@@ -13,8 +13,11 @@ Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheri
 ACE-climSST-EAMv2 is the model described in [Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136).
 It is trained on output from the E3SMv2's atmosphere model (a.k.a. EAMv2) forced with annually-repeating climatological sea surface temperature.
 
-Code for doing inference with ACE models can be found here: [https://github.com/ai2cm/ace](https://github.com/ai2cm/ace)
-with corresponding documentation here: [https://ai2-climate-emulator.readthedocs.io/en/stable/](https://ai2-climate-emulator.readthedocs.io/en/stable/).
+Quick links:
+- 📃 [Paper](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136)
+- 💻 [Code](https://github.com/ai2cm/ace)
+- 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
+- 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
 
 Briefly, the strengths of ACE-climSST-EAMv2 are:
 - long-term stability
@@ -25,6 +28,4 @@ Some known weaknesses are:
 - responses to El Niño-like sea surface temperature and long-term warming trends are not accurately captured
 - small but non-zero drifts in total dry air mass of the atmosphere
 
-Refer to [published manuscript](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136) for more details.
-
 Note the checkpoint provided here is the same as the one [here](https://portal.nersc.gov/archive/home/projects/e3sm/www/e3smv2-fme-dataset), just with the optimizer state removed to decrease the checkpoint size.