Update README.md

README.md

@@ -5,13 +5,13 @@ license: cdla-permissive-2.0
 
 [<b><i>>>Try it on Colab<<</i></b> (Please select the T4 GPU runtime)](https://colab.research.google.com/github/IBM/granite-wxc/blob/4d14cd19ec86ae1a5d32c311e6362fb1d42ff693/examples/granitewxc_downscaling/notebooks/granitewxc_downscaling_inference.ipynb)
 
-`granite-geospatial-wxc-downscaling` is a fine-tuned foundation model for the downscaling of weather and climate data. It is based on the [Prithvi WxC foundation model](https://huggingface.co/Prithvi-WxC). `granite-geospatial-downscaling` has been used to downscale both MERRA-2 data as well as EURO-CORDEX climate simulations. The weights for the former are included here.
+`granite-geospatial-wxc-downscaling` is a fine-tuned foundation model for the downscaling of weather and climate data. It is based on the [Prithvi WxC foundation model](https://huggingface.co/collections/ibm-nasa-geospatial/prithvi-for-weather-and-climate-6740a9252d5278b1c75b3418). `granite-geospatial-downscaling` has been used to downscale both MERRA-2 data as well as EURO-CORDEX climate simulations. The weights for the former are included here.
 
 <b>6x downscaling of MERRA-2 2m temperature</b>
 
 <center><img src="downscaling_T2M_coolwarm_animated.gif" alt="Downscaling of MERRA-2 T2M" width=462></center>
 
-More information: [Code](https://github.com/IBM/granite-wxc), [base model](https://huggingface.co/Prithvi-WxC), paper (to appear).
+More information: [Code](https://github.com/IBM/granite-wxc), [base model](https://huggingface.co/collections/ibm-nasa-geospatial/prithvi-for-weather-and-climate-6740a9252d5278b1c75b3418), paper (to appear).
 
 ## Architecture