jiant

Why we included this project

For researchers and grad students who want to run multitask and transfer learning experiments without writing every training loop from scratch, jiant is a useful toolkit. It is configuration-driven and ships with support for more than 50 natural language understanding tasks, plus standard benchmarks such as GLUE, SuperGLUE, and XTREME. You can load a pretrained transformer, pick several tasks, and see how they train together or transfer to each other in a reproducible way. Since it builds on PyTorch and the Hugging Face transformers and datasets libraries, it fits into the modern NLP stack. One honest caveat: the project is no longer actively maintained, so treat it as a mature, well-documented reference for research workflows rather than something to base a production pipeline on.