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README.md
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- **Format:** PyTorch tensor
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#
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author = {Talaei, Mahtab and Walker, Kenji C. and Hao, Boran and Jolley, Eliot and Jin, Yeping and Kozakov, Dima and Misasi, John and Vajda, Sandor and Paschalidis, Ioannis Ch. and Joseph-McCarthy, Diane},
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title = {CDR-aware masked language models for paired antibodies enable state-of-the-art binding prediction},
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year = {2025},
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doi = {10.1101/2025.10.31.685149},
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eprint = {https://www.biorxiv.org/content/early/2025/10/31/2025.10.31.685149.full.pdf},
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journal = {bioRxiv}
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}
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```
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## Contact
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- **Maintainer:** Mahtab Talaei
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- **Email:** mtalaei@bu.edu
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- **GitHub:** https://github.com/Mah-Tala/AbCDR-ESM
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- **Format:** PyTorch tensor
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## Model Card Authors
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Mahtab Talaei
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## Contact
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- **Maintainer:** Mahtab Talaei
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- **Email:** mtalaei@bu.edu
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- **GitHub:** [https://github.com/Mah-Tala/AbCDR-ESM](https://github.com/Mah-Tala/AbCDR-ESM)
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- **Paper:** [bioRxiv preprint](https://www.biorxiv.org/content/10.1101/2025.10.31.685149v1)
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## License
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This model is released under the MIT License.
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## Acknowledgments
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- Base model: ESM2 by Meta AI
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- Data: OAS database
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---
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**Note:** For private repositories, you'll need to authenticate:
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```bash
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# Option 1: CLI login
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huggingface-cli login
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# Option 2: Environment variable
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export HF_TOKEN="your_token_here"
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