Transformers
Safetensors
genomics
human-genetics
genotype
snp
modernbert
masked-language-modeling
uk-biobank
allele-dosage
Instructions to use ccjsj/SNPBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccjsj/SNPBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ccjsj/SNPBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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attention-based variant prioritization. Pipelines and a runnable synthetic-data demo are
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in the [GitHub repo](https://github.com/BioLab-D/SNPBERT).
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## Citation
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```bibtex
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@article{snpbert,
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title = {Biobank-scale self-supervised genotype pretraining yields transferable representations for human genetics},
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author = {BioLab-D},
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year = {2025},
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note = {https://github.com/BioLab-D/SNPBERT}
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}
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```
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## License
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MIT. Trained on UK Biobank data under approved access; use of derived representations
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attention-based variant prioritization. Pipelines and a runnable synthetic-data demo are
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## License
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MIT. Trained on UK Biobank data under approved access; use of derived representations
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