point to the latest colab notebook

README.md

@@ -19,10 +19,12 @@ Prithvi WxC has been fine-tuned for several tasks including climate downscaling
 gravity wave parameterization. More details on Prithvi WxC can be found in the joint [IBM NASA technical paper](https://arxiv.org/abs/2409.13598).
 
 Current downstreams tasks of PrithviWxC are (please feel free to submit a PR if you want to add yours):  
-[Downscaling](https://huggingface.co/ibm-granite/granite-geospatial-wxc-downscaling) (IBM Granite Model) <b><i>>>>[Try it on Colab](https://colab.research.google.com/github/IBM/granite-wxc/blob/4d14cd19ec86ae1a5d32c311e6362fb1d42ff693/examples/granitewxc_downscaling/notebooks/granitewxc_downscaling_inference.ipynb)<<<</i></b> (Please select the T4 GPU runtime)  
+[Downscaling](https://huggingface.co/ibm-granite/granite-geospatial-wxc-downscaling) (IBM Granite Model) [<b><i>>>Try it on Colab<<</i></b> (Please select the T4 GPU runtime)](https://colab.research.google.com/github/IBM/granite-wxc/blob/main/examples/granitewxc_downscaling/notebooks/granitewxc_downscaling_inference.ipynb)    
 [Gravity Wave](https://github.com/NASA-IMPACT/gravity-wave-finetuning)  
 
 
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 More information:[Paper](https://arxiv.org/abs/2409.13598), [Code](https://github.com/NASA-IMPACT/Prithvi-WxC), [Model V1](https://huggingface.co/Prithvi-WxC/prithvi.wxc.2300m.v1)
 PRs: [prithvi-weather-climate-foundation-model (NASA)](https://www.earthdata.nasa.gov/learn/blog/prithvi-weather-climate-foundation-model-background-benefits), [weather-climate-foundation-model (IBM)](https://research.ibm.com/blog/weather-climate-foundation-model)
 [nasa-ibm-weather-climate-foundation-model (NASA)](https://www.earthdata.nasa.gov/learn/blog/nasa-ibm-weather-climate-foundation-model)