HiTZ
/

Text2Text Generation
Transformers
PyTorch
mt5
medical
multilingual
medic
Inference Endpoints
Iker commited on
Commit
5253052
1 Parent(s): e7c5e9c

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@@ -31,7 +31,11 @@ for The Medical Domain</h2>
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  We present MedMT5, the first open-source text-to-text multilingual model for the medical domain. MedMT5 is an encoder-decoder model developed by continuing the training of publicly available mT5 checkpoints on medical domain data for English, Spanish, French, and Italian.
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- - 📖 Paper: ** Coming soon **
 
 
 
 
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  # Model Description
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  - **Developed by**: Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata and Andrea Zaninello
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- - **Contact**: [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/)
 
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  - **Funding**: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR
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  - **Model type**: text2text-generation
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  - **Language(s) (NLP)**: English, Spanish, French, Italian
 
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  We present MedMT5, the first open-source text-to-text multilingual model for the medical domain. MedMT5 is an encoder-decoder model developed by continuing the training of publicly available mT5 checkpoints on medical domain data for English, Spanish, French, and Italian.
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  </p>
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+ - 📖 Paper: **Coming soon**
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+ - 🌐 Project Website: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)
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  <table border="1" cellspacing="0" cellpadding="5">
 
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  # Model Description
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  - **Developed by**: Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata and Andrea Zaninello
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+ - **Contact**: [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/)
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+ - **Website**: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)
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  - **Funding**: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR
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  - **Model type**: text2text-generation
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  - **Language(s) (NLP)**: English, Spanish, French, Italian