johannesschmude commited on
Commit
a447705
·
verified ·
1 Parent(s): 1648b63

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -6
README.md CHANGED
@@ -8,12 +8,11 @@ pinned: false
8
  ---
9
 
10
  NASA and IBM have teamed up to create an AI Foundation Model for Weather and Climate, using [MERRA-2](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/) data.
11
- By embracing the principles of open AI and open science, both organizations are actively contributing to the
12
- global mission of promoting knowledge sharing and accelerating innovations in addressing critical environmental challenges.
13
- With Hugging Face's platform, they simplify model training and deployment, making it accessible for open science users, startups,
14
- and enterprises on multi-cloud AI platforms like [watsonx](https://www.ibm.com/watsonx). Additionally, Hugging Face enables easy sharing of the pipelines of the model
15
- family, which our team calls Prithvi WxC, within the community, fostering global collaboration and engagement. More details on Prithvi WxC can be
16
- found in the joint IBM NASA technical paper.
17
 
18
  More information: [Code](https://github.com/NASA-IMPACT/Prithvi-WxC). Paper (to appear).
19
 
 
8
  ---
9
 
10
  NASA and IBM have teamed up to create an AI Foundation Model for Weather and Climate, using [MERRA-2](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/) data.
11
+ By embracing the principles of open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and
12
+ accelerating innovations in addressing critical environmental challenges. With Hugging Face's platform, they simplify model training and deployment,
13
+ making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like [watsonx](https://www.ibm.com/watsonx).
14
+ Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi WxC, within the community, fostering
15
+ global collaboration and engagement. More details on Prithvi WxC can be found in the joint IBM NASA technical paper.
 
16
 
17
  More information: [Code](https://github.com/NASA-IMPACT/Prithvi-WxC). Paper (to appear).
18