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jplu/tf-xlm-roberta-base

sourceHugging Faceupdated 6y agoView on Hugging Face
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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

ModelDownloads
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:

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.

Acknowledgments

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