Update README.md

README.md

@@ -18,9 +18,4 @@ General-purpose multilingual vector representations, used in retrieval, regressi
 
 ## Contributors
 
-This project was made possible through the collaboration between the MICS laboratory at CentraleSupélec, Diabolocom, Artefact, and Unbabel, as well as the technological support of AMD and CINES. We also highlight the support of the French government through the France 2030 program as part of the ArGiMi project and DataIA Institute, whose contributions facilitated the completion of this work.
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-Finally, we thank the entire EuroBERT team without whom this would not have been possible:
-Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André Martins, Ayoub Hammal, Caio Corro, Celine Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El-Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Ricardo Rei, Pierre Colombo
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-Diabolocom, Artefact, MICS, CentraleSupélec, Université Paris-Saclay, Instituto Superior Técnico & Universidade de Lisboa (Lisbon ELLIS Unit), Instituto de Telecomunicações, Unbabel, Université Paris-Saclay, CNRS, LISN, INSA Rennes, IRISA, CINES, IRT Saint Exupéry, Illuin Technology, Université Grenoble Alpes, Grenoble INP, LIG, Equall, ISIA Lab
+This project was made possible through the collaboration between the MICS laboratory at CentraleSupélec, Diabolocom, Artefact, and Unbabel, as well as the technological support of AMD and CINES. We also highlight the support of the French government through the France 2030 program as part of the ArGiMi project and DataIA Institute, whose contributions facilitated the completion of this work.