Instructions to use embed2scale/TerraCodec-1.0-FP-S2L2A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use embed2scale/TerraCodec-1.0-FP-S2L2A with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("embed2scale/TerraCodec-1.0-FP-S2L2A") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 109940033a5b176897919b3afd70cbfab53225a42abe96d869db61ba2b4a066f
- Size of remote file:
- 10.6 MB
- SHA256:
- 844970e0d9e793ab647f2be093de516dad38c5d7f59f3f267bb82577a2e5069b
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