Instructions to use kuleshov-group/PlantCaduceus_l20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuleshov-group/PlantCaduceus_l20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kuleshov-group/PlantCaduceus_l20", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kuleshov-group/PlantCaduceus_l20", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Citation
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```bibtex
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@article
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```
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## Citation
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```bibtex
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@article{Zhai2025CrossSpecies,
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author = {Zhai, Jingjing and Gokaslan, Aaron and Schiff, Yoni and Berthel, Alexander and Liu, Z. Y. and Lai, W. L. and Miller, Z. R. and Scheben, Armin and Stitzer, Michelle C. and Romay, Maria C. and Buckler, Edward S. and Kuleshov, Volodymyr},
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title = {Cross-species modeling of plant genomes at single nucleotide resolution using a pretrained DNA language model},
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journal = {Proceedings of the National Academy of Sciences},
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year = {2025},
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volume = {122},
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number = {24},
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pages = {e2421738122},
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doi = {10.1073/pnas.2421738122},
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url = {https://doi.org/10.1073/pnas.2421738122}
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}
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```
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