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.
CamembertConfig
[[autodoc]] CamembertConfig
CamembertTokenizer
[[autodoc]] CamembertTokenizer
    - build_inputs_with_special_tokens
    - get_special_tokens_mask
    - create_token_type_ids_from_sequences
