metadata

language:
  - multilingual
  - af
  - am
  - ar
  - as
  - az
  - be
  - bg
  - bn
  - br
  - bs
  - ca
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - fy
  - ga
  - gd
  - gl
  - gu
  - ha
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - is
  - it
  - ja
  - jv
  - ka
  - kk
  - km
  - kn
  - ko
  - ku
  - ky
  - la
  - lo
  - lt
  - lv
  - mg
  - mk
  - ml
  - mn
  - mr
  - ms
  - my
  - ne
  - nl
  - 'no'
  - om
  - or
  - pa
  - pl
  - ps
  - pt
  - ro
  - ru
  - sa
  - sd
  - si
  - sk
  - sl
  - so
  - sq
  - sr
  - su
  - sv
  - sw
  - ta
  - te
  - th
  - tl
  - tr
  - ug
  - uk
  - ur
  - uz
  - vi
  - xh
  - yi
  - zh

Tensorflow XLM-RoBERTa

In this repository you will find different versions of the XLM-RoBERTa model for Tensorflow.

XLM-RoBERTa

XLM-RoBERTa 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` • `tf_model.h5`
`jplu/tf-xlm-roberta-large`	`config.json` • `tf_model.h5`

Usage

With Transformers >= 2.4 the Tensorflow models of XLM-RoBERTa can be loaded like:

from transformers import TFXLMRobertaModel

model = TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-base")

model = TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-large")

Huggingface model hub

All models are available on the Huggingface model hub.

Acknowledgments

Thanks to all the Huggingface team for the support and their amazing library!