diff --git a/docs/source/en/model_doc/camembert.md b/docs/source/en/model_doc/camembert.md index dc217fe619bf1e..ab06ec100b1298 100644 --- a/docs/source/en/model_doc/camembert.md +++ b/docs/source/en/model_doc/camembert.md @@ -19,8 +19,8 @@ rendered properly in your Markdown viewer. ## Overview The CamemBERT model was proposed in [CamemBERT: a Tasty French Language Model](https://arxiv.org/abs/1911.03894) by -Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la -Clergerie, Djamé Seddah, and Benoît Sagot. It is based on Facebook's RoBERTa model released in 2019. It is a model +[Louis Martin](https://huggingface.co/louismartin), [Benjamin Muller](https://huggingface.co/benjamin-mlr), [Pedro Javier Ortiz Suárez](https://huggingface.co/pjox), Yoann Dupont, Laurent Romary, Éric Villemonte de la +Clergerie, [Djamé Seddah](https://huggingface.co/Djame), and [Benoît Sagot](https://huggingface.co/sagot). It is based on Facebook's RoBERTa model released in 2019. It is a model trained on 138GB of French text. The abstract from the paper is the following: @@ -34,7 +34,7 @@ dependency parsing, named-entity recognition, and natural language inference. Ca for most of the tasks considered. We release the pretrained model for CamemBERT hoping to foster research and downstream applications for French NLP.* -This model was contributed by [camembert](https://huggingface.co/camembert). The original code can be found [here](https://camembert-model.fr/). +This model was contributed by [the ALMAnaCH team (Inria)](https://huggingface.co/almanach). The original code can be found [here](https://camembert-model.fr/).