CamemBERT
Overview
The CamemBERT model was proposed in CamemBERT: a Tasty French Language Model 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 for usage examples as well as the information relative to the inputs and outputs.
This model was contributed by camembert. The original code can be found here.
Documentation resources
- Text classification task guide
- Token classification task guide
- Question answering task guide
- Causal language modeling task guide
- Masked language modeling task guide
- Multiple choice task guide
CamembertConfig
[[autodoc]] CamembertConfig
CamembertTokenizer
[[autodoc]] CamembertTokenizer - build_inputs_with_special_tokens - get_special_tokens_mask - create_token_type_ids_from_sequences - save_vocabulary
CamembertTokenizerFast
[[autodoc]] CamembertTokenizerFast
CamembertModel
[[autodoc]] CamembertModel
CamembertForCausalLM
[[autodoc]] CamembertForCausalLM
CamembertForMaskedLM
[[autodoc]] CamembertForMaskedLM
CamembertForSequenceClassification
[[autodoc]] CamembertForSequenceClassification
CamembertForMultipleChoice
[[autodoc]] CamembertForMultipleChoice
CamembertForTokenClassification
[[autodoc]] CamembertForTokenClassification
CamembertForQuestionAnswering
[[autodoc]] CamembertForQuestionAnswering
TFCamembertModel
[[autodoc]] TFCamembertModel
TFCamembertForCasualLM
[[autodoc]] TFCamembertForCausalLM
TFCamembertForMaskedLM
[[autodoc]] TFCamembertForMaskedLM
TFCamembertForSequenceClassification
[[autodoc]] TFCamembertForSequenceClassification
TFCamembertForMultipleChoice
[[autodoc]] TFCamembertForMultipleChoice
TFCamembertForTokenClassification
[[autodoc]] TFCamembertForTokenClassification
TFCamembertForQuestionAnswering
[[autodoc]] TFCamembertForQuestionAnswering