Xian Li 7f3967805f add readme for xglm models (#2808) ... Summary: # Before submitting - [ ] Was this discussed/approved via a Github issue? (no need for typos, doc improvements) - [ ] Did you read the [contributor guideline](https://github.com/pytorch/fairseq/blob/main/CONTRIBUTING.md)? - [ ] Did you make sure to update the docs? - [ ] Did you write any new necessary tests? ## What does this PR do? Add readme and task for xglm models. ## PR review Anyone in the community is free to review the PR once the tests have passed. If we didn't discuss your PR in Github issues there's a high chance it will not be merged. ## Did you have fun? Make sure you had fun coding � Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/2808 Reviewed By: punitkoura Differential Revision: D33237928 Pulled By: xianxl fbshipit-source-id: 7773cf56e896210dab1f4311ae69f0e00c6d9aff		2021-12-20 13:05:17 -08:00
..
__init__.py	remediation of S205607	2020-07-17 17:21:51 -07:00
test_binaries_gpu.py	add readme for xglm models (#2808)	2021-12-20 13:05:17 -08:00
test_ema_gpu.py	Add linting with black (#2678)	2021-11-29 12:32:59 -08:00
transformer_quantization_config.yaml	Split out fairseq GPU tests & add new deeplearning_fairseq_gpu contbuild using remote execution	2020-06-03 18:53:35 -07:00