dummy-french-model

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Pretrained model on French language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository.

Model Details

CamemBERT is a state-of-the-art language model for French based on the RoBERTa model.

It is now available on Hugging Face in 6 different versions with varying number of parameters, amount of pretraining data and pretraining data source domains.

For further information or requests, please go to Camembert Website

Model Description

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Uses

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Bias, Risks, and Limitations

Even if the training data used for this model could be characterized as fairly neutral, this model can have biased predictions:

Authors

CamemBERT was trained and evaluated by Louis Martin*, Benjamin Muller*, Pedro Javier Ortiz Suárez*, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Djamé Seddah and Benoît Sagot.

If you this our work, please cite:

@inproceedings{martin2020camembert, title={CamemBERT: a Tasty French Language Model}, author={Martin, Louis and Muller, Benjamin and Su{'a}rez, Pedro Javier Ortiz and Dupont, Yoann and Romary, Laurent and de la Clergerie, {'E}ric Villemonte and Seddah, Djam{'e} and Sagot, Beno{^\i}t}, booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, year={2020} }

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Training Details

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Summary

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