|
|
--- |
|
|
datasets: |
|
|
- yangyz1230/space |
|
|
--- |
|
|
|
|
|
This is the official implementation of the ICML 2025 poster paper "SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model" (https://huggingface.co/papers/2506.01833). |
|
|
|
|
|
## Usage |
|
|
|
|
|
You should first download the source code from github: |
|
|
``` |
|
|
git clone https://github.com/ZhuJiwei111/SPACE |
|
|
cd SPACE |
|
|
``` |
|
|
|
|
|
Then you can access the model through: |
|
|
``` |
|
|
from model.modeling_space import Space |
|
|
|
|
|
model_name_or_path = "yangyz1230/space" |
|
|
model = Space.from_pretrained(model_name_or_path) |
|
|
``` |
|
|
|
|
|
## Citation |
|
|
|
|
|
``` |
|
|
@inproceedings{yang2025space, |
|
|
title={{SPACE}: Your Genomic Profile Predictor is a Powerful {DNA} Foundation Model}, |
|
|
author={Zhao Yang and Jiwei Zhu and Bing Su}, |
|
|
booktitle={Forty-second International Conference on Machine Learning}, |
|
|
year={2025}, |
|
|
url={https://openreview.net/forum?id=o4L9y4Jetm} |
|
|
} |
|
|
``` |
