RoBERTa now supported on TPU and TensorFlow via transformers library

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1197

Differential Revision: D17651374

Pulled By: myleott

fbshipit-source-id: 5feb986de1e682eb83c4479f419ad51325718572

examples/roberta/README.md

@@ -8,6 +8,7 @@ RoBERTa iterates on BERT's pretraining procedure, including training the model l
 
 ### What's New:
 
+- September 2019: TensorFlow and TPU support via the [transformers library](https://github.com/huggingface/transformers).
 - August 2019: RoBERTa is now supported in the [pytorch-transformers library](https://github.com/huggingface/pytorch-transformers).
 - August 2019: Added [tutorial for finetuning on WinoGrande](https://github.com/pytorch/fairseq/tree/master/examples/roberta/wsc#roberta-training-on-winogrande-dataset).
 - August 2019: Added [tutorial for pretraining RoBERTa using your own data](README.pretraining.md).