|
Download README.md from BioVisionLab/run_v73h: direct link, hf CLI and curl.
- Browser
- Download file 945 Bytes
-
https://huggingface.co/BioVisionLab/run_v73h/resolve/refs%2Fpr%2F1/README.md
- Command line
-
hf download hf://BioVisionLab/run_v73h@refs/pr/1/README.md
-
curl -L -o README.md https://huggingface.co/BioVisionLab/run_v73h/resolve/refs%2Fpr%2F1/README.md
945 Bytes
| github: https://anonymous.4open.science/r/vert-nsm-anon/ | |
| datasets: | |
| - vertebrae_meshes_v72 | |
| - train_data | |
| base_model: | |
| - run_v72 | |
| tags: | |
| - NSM | |
| - DeepSDF | |
| - TriplanarDecoder | |
| - SignedDistanceFunction | |
| - generativeAI | |
| - 3D | |
| - lizard | |
| - vertebrae | |
| - squamate | |
| - reptile | |
| - museum | |
| language: | |
| - en | |
| license: openrail | |
| ## Model Description | |
| Trained on 2896 presacral vertebrae meshes from 95 specimens representing all families of lizards and a few snakes. Trained using same data and parameters as [baseline v72 model](https://anonymous-hf.com/a/duetxcukxvnn/), but with hierarchy loss. | |
| ## Model Use | |
| Can be used to do shape completion and classification of unknown squamate vertebrae (modern or fossil). | |
| ## Citation | |
| If you use this model, its weights, or the underlying research in your work, please cite it using the following: | |
| Anonymous et al. 2026. “Vert-NSM” GitHub repository. https://anonymous.4open.science/r/vert-nsm-anon/ (accessed YYYY-MM-DD). |