Update README.md

README.md

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-license: cdla-permissive-2.0
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+---
+license: cdla-permissive-2.0
+---
+
+Prithvi WxC is a 2.3 billion parameter model trained on 160 different variables from MERRA-2 data. It has been pretrained on both forecasting and masked
+reconstruction objectives. I.e.~the model is capable of reconstructing atmospheric state from partial information as well as propagating state into the
+future. The model takes data from two timestamps as input and generates a single, possibly future, timestamp as output. Currently Prithvi WxC comes in two flavors:
+
+- (This model)`prithvi.wxc.rollout.2300m.v1` has been through further training cycles to be optimzed for autoregressive rollout. Here, we restricted the input delta
+  as well as the lead time to 6 hours. We recommend using `prithvi.wxc.rollout.2300m.v1` for forecasting applications.
+
+<div style="display: flex; justify-content: center;">
+
+<b> Zero-Shot Rollout</b>
+<img src="https://huggingface.co/Prithvi-WxC/prithvi.wxc.rollout.2300m.v1/resolve/bffd73a5b80904a4a1c8637a9f3bb35d32ce3382/2021C4Ida_2021082700_2plots_winds_platecaree_nohurr.gif" alt="Gravity Wave" width="1024"/>
+<br>
+<img src="https://huggingface.co/Prithvi-WxC/prithvi.wxc.rollout.2300m.v1/resolve/bffd73a5b80904a4a1c8637a9f3bb35d32ce3382/2021C4Ida_2021082700_2plots_winds_platecaree_CONUS.gif" alt="Gravity Wave" width="1024"/>
+
+</div>