readme: # Tensorflow XLM-RoBERTa
  
  In this repository you will find different versions of the XLM-RoBERTa model for Tensorflow.
  
  ## XLM-RoBERTa
  
  [XLM-RoBERTa](https://ai.facebook.com/blog/-xlm-r-state-of-the-art-cross-lingual-understanding-through-self-supervision/) is a scaled cross lingual sentence encoder. It is trained on 2.5T of data across 100 languages data filtered from Common Crawl. XLM-R achieves state-of-the-arts results on multiple cross lingual benchmarks.
  
  ## Model Weights
  
  | Model                            | Downloads
  | -------------------------------- | ---------------------------------------------------------------------------------------------------------------
  | `jplu/tf-xlm-roberta-base`   | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/jplu/tf-xlm-roberta-base/config.json) • [`tf_model.h5`](https://s3.amazonaws.com/models.huggingface.co/bert/jplu/tf-xlm-roberta-base/tf_model.h5)
  | `jplu/tf-xlm-roberta-large`   | [`config.json`](https://s3.amazonaws.com/models.huggingface.co/bert/jplu/tf-xlm-roberta-large/config.json) • [`tf_model.h5`](https://s3.amazonaws.com/models.huggingface.co/bert/jplu/tf-xlm-roberta-large/tf_model.h5)
  
  ## Usage
  
  With Transformers >= 2.4 the Tensorflow models of XLM-RoBERTa can be loaded like:
  
  ```python
  from transformers import TFXLMRobertaModel
  
  model = TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-base")
  ```
  Or
  ```
  model = TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-large")
  ```
  
  ## Huggingface model hub
  
  All models are available on the [Huggingface model hub](https://huggingface.co/jplu).
  
  ## Acknowledgments
  
  Thanks to all the Huggingface team for the support and their amazing library!
  