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@@ -29,7 +29,14 @@ Here we host public weights for our biomedical language models. There are severa
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| Model | Domain | Type | Details |
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| [MedBIT-R3+](https://huggingface.co/bmi-labmedinfo/medBIT-r3-plus) (recommended)
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| [MedBIT](https://huggingface.co/bmi-labmedinfo/medBIT)
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| Model | Domain | Type | Details |
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| [MedBIT-R3+](https://huggingface.co/bmi-labmedinfo/medBIT-r3-plus) (recommended) <sup>⸸</sup>| Medical | MaskedLM Pretrain | Trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 200MB of medical textbook data and web-crawled medical resources in Italian. Regularized with LLRD (.95), Mixout (.9), and Warmup (.02). |
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| [MedBIT](https://huggingface.co/bmi-labmedinfo/medBIT) <sup>⸸</sup>| Medical | MaskedLM Pretrain | Trained after [BioBIT](https://huggingface.co/bmi-labmedinfo/bioBIT) with additional 100MB of medical textbook data without any regularization. |
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<sup>⸸</sup> <small>model developed in partnership with the [Neuroinformatics Lab](https://www.fatebenefratelli.it/it/ricerca_irccs-brescia#tab-15) of IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy</small>
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Other models coming soon!
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## Related Research Papers
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* *Buonocore, T. M., Parimbelli, E., Sacchi, L., Bellazzi, R., Del Campo, L., & Quaglini, S. (2022). Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers. Studies in health technology and informatics, 290, 597–601. https://doi.org/10.3233/SHTI220147*
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