HiTZ
/

Text2Text Generation
Transformers
PyTorch
mt5
medical
multilingual
medic
Inference Endpoints
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@@ -299,7 +299,7 @@ Our research in developing Medical mT5, a multilingual text-to-text model for th
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  ## Citation
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  ```bibtext
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- @inproceedings{medMt5,
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  title = "{{Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}}",
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  author = "{Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello}",
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  publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)",
 
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  ## Citation
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  ```bibtext
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+ @inproceedings{medical-mt5,
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  title = "{{Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}}",
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  author = "{Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello}",
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  publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)",