---
tags:
- transformers
- xlm-roberta
library_name: transformers
license: cc-by-nc-4.0
language:
  - multilingual
  - af
  - am
  - ar
  - as
  - az
  - be
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  - bn
  - br
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  - 'no'
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  - yi
  - zh
---
Core implementation of Jina XLM-RoBERTa

This implementation is adapted from [XLM-Roberta](https://huggingface.co/docs/transformers/en/model_doc/xlm-roberta). In contrast to the original implementation, this model uses Rotary positional encodings and supports flash-attention 2.

### Models that use this implementation

to be added soon


### Converting weights

Weights from an [original XLMRoberta model](https://huggingface.co/FacebookAI/xlm-roberta-large) can be converted using the `convert_roberta_weights_to_flash.py` script in the model repository.