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kfold-assets
SeonghwanSeo/kfold-assets
kfold-assets is a machine learning model from SeonghwanSeo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository provides the chemical component dictionary and pretrained encoder weights used by K-Fold. These assets are downloaded automatically when needed.
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.pth7.3 GB · 89%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Sep 14, 2026
- SHA
- 2fa23513
Base models
Model card
From the Hugging Face model README
kfold-assets
This repository provides the chemical component dictionary and pretrained encoder weights used by K-Fold. These assets are downloaded automatically when needed.
Contents
assets/ccd.pkl: Precomputed chemical component dictionary (CCD).weights/prot_struct_bb_tokenizer.pth: Protein backbone tokenizer weights copied from TriProRep-3B.weights/prot_struct_fa_tokenizer.pth: Protein full-atom tokenizer weights copied from TriProRep-3B.weights/prot_struct_encoder_3b.pth: Protein structure encoder weights converted to bfloat16 from TriProRep-3B-finetune.weights/rna_seq_1b.pth: Pretrained RNA sequence encoder weights.
Source code for the protein structure encoder and tokenizers is available in the TriProRep GitHub repository.
License
Copyright © 2026 Korea Advanced Institute of Science and Technology (KAIST).
This repository is licensed under the Apache License 2.0.
- License
- apache-2.0
- Created
- Aug 25, 2026
- Updated
- Sep 14, 2026