Update README.md

README.md

@@ -12,18 +12,21 @@ Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheri
 
 ACE2-ERA5 is trained on the [ERA5 dataset](https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803) and will be described in a forthcoming paper.
 
-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 (coming soon)
+- 💻 [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 ACE2-ERA5 are:
 - accurate atmospheric warming response to combined increase of sea surface temperature and CO2 over last 80 years
 - highly accurate atmospheric response to El Niño sea surface temperature variability
-- good representation of geographic distribution of tropical cyclones
+- good representation of the geographic distribution of tropical cyclones
 - accurate Madden Julian Oscillation variability
 - realistic stratospheric polar vortex strength and variability
 - exact conservation of global dry air mass and moisture
 
 Some known weaknesses are:
-- the individual sensitivities to increased sea surface temperature and CO2 are not entirely realistic
+- the individual sensitivities to changing sea surface temperature and CO2 are not entirely realistic
 - the medium-range (3-10 day) weather forecast skill is not state of the art
-- not expected to generalize accurately for large perturbations of inputs (e.g. doubling of CO2)
+- not expected to generalize accurately for large perturbations of certain inputs (e.g. doubling of CO2)