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README.md
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- [EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) - 610 million parameters
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- [EuroBERT-2.1B](https://huggingface.co/EuroBERT/EuroBERT-2.1B) - 2.1 billion parameters
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For more information about EuroBERT, please check our [blog](
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## Usage
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If you use EuroBERT in your work, please cite:
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```
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```
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- [EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) - 610 million parameters
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- [EuroBERT-2.1B](https://huggingface.co/EuroBERT/EuroBERT-2.1B) - 2.1 billion parameters
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For more information about EuroBERT, please check our [blog](https://huggingface.co/blog/EuroBERT/release) post and the [arXiv](https://arxiv.org/abs/2503.05500) preprint.
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## Usage
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If you use EuroBERT in your work, please cite:
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```
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@misc{boizard2025eurobertscalingmultilingualencoders,
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title={EuroBERT: Scaling Multilingual Encoders for European Languages},
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author={Nicolas Boizard and Hippolyte Gisserot-Boukhlef and Duarte M. Alves and André Martins and Ayoub Hammal and Caio Corro and Céline Hudelot and Emmanuel Malherbe and Etienne Malaboeuf and Fanny Jourdan and Gabriel Hautreux and João Alves and Kevin El-Haddad and Manuel Faysse and Maxime Peyrard and Nuno M. Guerreiro and Patrick Fernandes and Ricardo Rei and Pierre Colombo},
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year={2025},
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eprint={2503.05500},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2503.05500},
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}
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```
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