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: Or 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!
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