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--- |
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library_name: transformers |
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license: mit |
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--- |
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# Model Card for GERM-NT1 |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** Haozheng Luo, ChengHao Qiu |
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- **License:** MIT |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/MAGICS-LAB/GERM |
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- **Paper:** https://arxiv.org/abs/2505.00598 |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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``` |
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from transformers import AutoTokenizer, AutoModelForMaskedLM |
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tokenizer = AutoTokenizer.from_pretrained("magicslabnu/GERM-NT-2.5B-multi", trust_remote_code=True) |
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model = AutoModelForMaskedLM.from_pretrained("magicslabnu/GERM-NT-2.5B-multi", trust_remote_code=True) |
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``` |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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GLUE |
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**BibTeX:** |
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``` |
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@misc{luo2025fastlowcostgenomicfoundation, |
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title={Fast and Low-Cost Genomic Foundation Models via Outlier Removal}, |
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author={Haozheng Luo and Chenghao Qiu and Maojiang Su and Zhihan Zhou and Zoe Mehta and Guo Ye and Jerry Yao-Chieh Hu and Han Liu}, |
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year={2025}, |
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eprint={2505.00598}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.LG}, |
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url={https://arxiv.org/abs/2505.00598}, |
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} |
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``` |
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