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:
- e9ee6c38ee70583cc329217354782d935cfb89d9fc91ac8cb22c34f98e113606
- Size of remote file:
- 1.1 GB
- SHA256:
- fab00e52e68237e84c10c5c392fbeb4fc5ea5a485b89c2513744d73b4190b1e0
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