Image Feature Extraction
TerraTorch
lunar
moon
planetary-science
remote-sensing
foundation-model
multimodal
masked-token-modeling
terramind
flexivit
crater-detection
vision
Instructions to use nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a1da9c9abf32e0f7fb5ed42118a4337b79e7cfb898b017efd6e9506038dd28c3
- Size of remote file:
- 689 kB
- SHA256:
- caf653fceb888b372e762738e45781635405507ed3f92571efac6519dc5a3dcb
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