Upload README.md (#4)

- Upload README.md (b0f4be93e676470fd0a59a36b167f03161faca6e)


Co-authored-by: Anne Jones <[email protected]>

README.md

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-license: apache-2.0
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 # Model Card for granite-geospatial-uki
 
 The granite-geospatial-uki model is a transformer-based geospatial foundation model trained on HLS L30 multispectral satellite imagery and Sentinel-1 synthetic aperture radar (SAR) backscatter over the United Kingdom and Ireland. The model consists of a self-supervised encoder developed with a ViT architecture and Masked AutoEncoder (MAE) learning strategy, with an MSE loss function and follows the same architecture as [Prithvi-EO](https://huggingface.co/collections/ibm-nasa-geospatial/prithvi-for-earth-observation-6740a7a81883466bf41d93d6).
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 ## How to Get Started with the Model 
 
-An example of fine-tuning the model for image segmentation using Terratorch for flood detection in the UK and Ireland can be found [here](./notebooks/2_fine_tuning.ipynb).
+An example of fine-tuning the model for image segmentation using Terratorch for flood detection in the UK and Ireland can be found [here](https://github.com/ibm-granite/geospatial/blob/main/uki-flooddetection/notebooks/2_fine_tuning.ipynb).
 
 ## Pre-training