|
Download README.md from SiXa18/facet-weights: direct link, hf CLI and curl.
- Browser
- Download file 2.3 kB
-
https://huggingface.co/SiXa18/facet-weights/resolve/main/README.md
- Command line
-
hf download hf://SiXa18/facet-weights/README.md
-
curl -L -o README.md https://huggingface.co/SiXa18/facet-weights/resolve/main/README.md
2.3 kB
| license: cc-by-4.0 | |
| tags: | |
| - protein-nmr | |
| - chemical-shifts | |
| - torsion-angles | |
| # FACET model weights | |
| Model parameters and reference data for [FACET](https://github.com/maxzinke/facet-nmr), | |
| which predicts protein backbone phi/psi torsion angles from NMR chemical shifts. | |
| These files are **downloaded automatically on first use** — you do not need to fetch | |
| them by hand. `facet/assets.py` resolves them into `~/.facet/` and verifies each | |
| against a pinned SHA-256. | |
| They live here rather than in the Python wheel because `facet_retrieval_index.npz` is | |
| 133 MB, past PyPI's 100 MB per-file limit; a bundled wheel could not be uploaded at | |
| all. Hosting them separately also means a corrected BMRB entry can reach users without | |
| a new package release. | |
| ## Contents | |
| | File | Size | What it is | | |
| |---|---|---| | |
| | `facet_v3.pt` | 5.2 MB | Encoder weights (PyTorch) | | |
| | `facet_v3.onnx` | 5.2 MB | The same encoder, ONNX | | |
| | `facet_retrieval_index.npz` | 132.6 MB | 254K residue embeddings with phi/psi and labels | | |
| | `facet_retrieval_index.entries.json` | 2.0 MB | Per-row source identifiers | | |
| | `facet_shift_reference.npz` | 9.6 MB | Mask-safe retrieval reference (optional; absence degrades to the parametric head) | | |
| ## Provenance and licence | |
| These files are licensed **CC BY 4.0**: use them for anything, including commercially, | |
| provided you credit the project (see `CITATION.cff` in the source repository). | |
| Structural data (phi/psi, secondary structure) come from the **Protein Data Bank** and | |
| chemical-shift data from the **BMRB** — both released under **CC0 1.0**, a | |
| public-domain dedication with no conditions. Trained parameters are the work of this | |
| project. See `DATA_PROVENANCE.md` in the source repository. | |
| No deposition from the 745-entry benchmark test set is present in the retrieval index | |
| or the shift reference (`benchmarks/check_leakage.py` in the source repository). | |
| ## Citation | |
| Zinke, M. ([ORCID 0000-0002-0541-5139](https://orcid.org/0000-0002-0541-5139)). | |
| *FACET: backbone torsion angle prediction from NMR chemical shifts* (2026). | |
| Software: <https://github.com/maxzinke/facet-nmr> — DOI [10.5281/zenodo.22190034](https://doi.org/10.5281/zenodo.22190034). | |
| Citing BMRB is appreciated: | |
| Hoch *et al.*, *Nucleic Acids Research* **51**, D368 (2023), doi:10.1093/nar/gkac1050. | |