Instructions to use rayruiyang/GeoUG-Spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Bagel
How to use rayruiyang/GeoUG-Spatial with Bagel:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Remove internal checkpoint provenance from model card
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README.md
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Download the complete repository. The release uses EMA weights and does not
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## Checkpoint provenance
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The release is the merged EMA policy from RL checkpoint 39, trained with
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`spatial_gate_draft_v3` and generation-cost coefficient 位=0.1.
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## License and attribution
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GeoUG builds on the BAGEL/MoT architecture and its pretrained components.
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This checkpoint accompanies the mixed-license GeoUG code release. Consult
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`LICENSE` and `
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applicable component terms, including the CC BY-NC restrictions on the listed
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BAGEL/DiT-derived code files. This card does not assign a new blanket license
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to upstream components. The data repositories document their own source and
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Download the complete repository. The release uses EMA weights and does not
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require a separate non-EMA checkpoint or a shard index.
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## License and attribution
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GeoUG builds on the BAGEL/MoT architecture and its pretrained components.
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This checkpoint accompanies the mixed-license GeoUG code release. Consult
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`LICENSE` and `NOTICE` in the GeoUG code checkout for the
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applicable component terms, including the CC BY-NC restrictions on the listed
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BAGEL/DiT-derived code files. This card does not assign a new blanket license
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to upstream components. The data repositories document their own source and
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6340dfd03b315d68faf266944c2a4a484ec8dafff4f2b55a059d95ad7656cbf7 config.json
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c957625aff4cb3df6e226f3b18f7a7d5076db167a3b0fe724c7756ddf40d838b ema.safetensors
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