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
Download NI_LFM_Technical_Report.pdf from nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model: direct link, hf CLI and curl.
- Browser
- Download file 25 MB
-
https://huggingface.co/nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model/resolve/main/NI_LFM_Technical_Report.pdf
- Command line
-
hf download hf://nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model/NI_LFM_Technical_Report.pdf
-
curl -L -o NI_LFM_Technical_Report.pdf https://huggingface.co/nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model/resolve/main/NI_LFM_Technical_Report.pdf
25 MB
- Xet hash:
- e14f910620a9d9b2e89ee6436f74d4ad4037d42cf0303409a319cf8ef73bebb0
- Size of remote file:
- 25 MB
- SHA256:
- ba8311a531245de60848203b18abd31d3770f54de6b8fb3c2af2235a42dec2cf
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