will make XLM-R code, data, and models publicly available.
Tips:
XLM-RoBERTa is a multilingual model trained on 100 different languages. Unlike some XLM multilingual models, it does
  not require lang tensors to understand which language is used, and should be able to determine the correct
  language from the input ids.
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 stefan-it. The original code can be found here.
XLMRobertaConfig
[[autodoc]] XLMRobertaConfig
XLMRobertaTokenizer
[[autodoc]] XLMRobertaTokenizer
    - build_inputs_with_special_tokens
    - get_special_tokens_mask
    - create_token_type_ids_from_sequences
    - save_vocabulary
XLMRobertaTokenizerFast
