Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
| CamemBERT | |
| ---------------------------------------------------- | |
| 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 | |
| trained on 138GB of French text. | |
| The abstract from the paper is the following: | |
| *Pretrained language models are now ubiquitous in Natural Language Processing. Despite their success, | |
| most available models have either been trained on English data or on the concatenation of data in multiple | |
| languages. This makes practical use of such models --in all languages except English-- very limited. Aiming | |
| to address this issue for French, we release CamemBERT, a French version of the Bi-directional Encoders for | |
| Transformers (BERT). We measure the performance of CamemBERT compared to multilingual models in multiple | |
| downstream tasks, namely part-of-speech tagging, dependency parsing, named-entity recognition, and natural | |
| language inference. CamemBERT improves the state of the art for most of the tasks considered. We release the | |
| pretrained model for CamemBERT hoping to foster research and downstream applications for French NLP.* | |
| Tips: | |
| - This implementation is the same as RoBERTa. Refer to the `documentation of RoBERTa <./roberta.html>`__ for usage | |
| examples as well as the information relative to the inputs and outputs. | |
| CamembertConfig | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertConfig | |
| :members: | |
| CamembertTokenizer | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertTokenizer | |
| :members: | |
| CamembertModel | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertModel | |
| :members: | |
| CamembertForMaskedLM | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertForMaskedLM | |
| :members: | |
| CamembertForSequenceClassification | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertForSequenceClassification | |
| :members: | |
| CamembertForMultipleChoice | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertForMultipleChoice | |
| :members: | |
| CamembertForTokenClassification | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.CamembertForTokenClassification | |
| :members: | |
| TFCamembertModel | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.TFCamembertModel | |
| :members: | |
| TFCamembertForMaskedLM | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.TFCamembertForMaskedLM | |
| :members: | |
| TFCamembertForSequenceClassification | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.TFCamembertForSequenceClassification | |
| :members: | |
| TFCamembertForTokenClassification | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| .. autoclass:: transformers.TFCamembertForTokenClassification | |
| :members: | |