Instructions to use ibm-nasa-geospatial/Prithvi-EO-2.0-600M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use ibm-nasa-geospatial/Prithvi-EO-2.0-600M with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("ibm-nasa-geospatial/Prithvi-EO-2.0-600M") - Notebooks
- Google Colab
- Kaggle
Fine-tuned version for Burn Scar Segmentation
#1
by morenoj11 - opened
Many thanks for publishing these models, you guys are doing an amazing job advancing GeoAI with these foundation models.
Could you also please upload the fine-tuned version of this model for Burn-Scar segmentation?
I want to benchmark it and fine-tune it further, but I'd like to save the computing cost of having to do the fine-tuning on the HLS Burn Scar dataset.
Hi @morenoj11 , sorry for the lat answer! We are preparing the model release, it might take another 1-2 weeks.
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