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}
}
Downloads last month
245
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train yangyz1230/space