jiant is a software toolkit for natural language processing research, designed to facilitate work on multitask learning and transfer learning for sentence understanding tasks. Check out the blog post here.

• jiant is configuration-driven. You can run an enormous variety of experiments by simply writing configuration files. Of course, if you need to add any major new features, you can also easily edit or extend the code.
• jiant contains implementations of GLUE, SuperGLUE, and XTREME benchmarks.
• jiant is built on PyTorch. jiant integrates models from transformers and task data from datasets.