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:
- 818e983826d8ac78496c549e79aaef7b1a61055088ae97a6702ea29ef787e3d6
- Size of remote file:
- 211 kB
- SHA256:
- fe3a56e9cad7c9b65ac1bf68b91d528b54bac7b391dadd9c7df821006ed944e1
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