Object Detection
TerraTorch
PEFT
lunar
moon
planetary-science
remote-sensing
crater-detection
faster-rcnn
lora
multimodal
terramind
flexivit
vision
Instructions to use nasa-ibm-ai4science/Crater-Detection-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/Crater-Detection-NASA-IBM-Lunar-Foundation-Model with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("nasa-ibm-ai4science/Crater-Detection-NASA-IBM-Lunar-Foundation-Model") - PEFT
How to use nasa-ibm-ai4science/Crater-Detection-NASA-IBM-Lunar-Foundation-Model with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d0d0e4f0be926199977a3096dcb500e1d7b6fc2a44e4c3d98518c5373fd75790
- Size of remote file:
- 579 kB
- SHA256:
- 8c24b0700a811d3ea5436712403b1e8aa7fd306284925459be1f9d1fb3dbbc9e
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