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rispice-750bp
paolomanlapaz/rispice-750bp
rispice-750bp is a machine learning model from paolomanlapaz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This repository provides the 750 bp LoRA adapter for RiSPICE (Rice SNP Prioritization Integrating Chromatin Effects), fine-tuned on top of DNABERT-2-117M for multi-label prediction of rice chromatin features from DNA…
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 21, 2026
- Updated
- Jul 31, 2026
- SHA
- b4baaacb
Base models
Model card
From the Hugging Face model README
RiSPICE LoRA Adapter (750 bp)
This repository provides the 750 bp LoRA adapter for RiSPICE (Rice SNP Prioritization Integrating Chromatin Effects), fine-tuned on top of DNABERT-2-117M for multi-label prediction of rice chromatin features from DNA sequences.
Model Summary
- Method: RiSPICE (Rice SNP Prioritization Integrating Chromatin Effects)
- Base Model:
paolomanlapaz/rispice-base - Adapter Type: PEFT / LoRA
- Sequence Length: 750 bp
- Task: Multi-label Chromatin Feature Prediction (
num_labels=12)
Feature Order
The model outputs logits/probabilities corresponding to the following 12 chromatin features in exact order (Index 0 to 11):
| Index | Feature |
|---|---|
0 | ATAC-Seq |
1 | H3K4ac |
2 | H3K4me2 |
3 | H3K4me3 |
4 | H3K9ac |
5 | H3K9me1 |
6 | H3K23ac |
7 | H3K27ac |
8 | H3K27me3 |
9 | H3K36me3 |
10 | H4K12ac |
11 | H4K16ac |
Usage & Pipeline Code
For dataset preprocessing, model loading, and batch inference scripts, please refer to our GitHub repository:
🔗 bioinfodlsu/rispice
- Library
- peft
- License
- apache-2.0
- Created
- Jul 21, 2026
- Updated
- Jul 31, 2026