However, most of these models are trained and tested in a single format, meaning they cannot be easily applied to other formats. UnifiedQA is an open source project developed by AI2, which aims to make it easier to apply QA models to different formats. UnifiedQA is a single QA system that combines models based on PyTorch/HuggingFace with datasets/tasks used in experiments, prediction files, and released model checkpoints. This system allows users to quickly apply QA models to different formats, such as T5 models, BART models, and v2 T5 models. UnifiedQA also offers users the ability to use pre-trained models that have been released, as well as allowing users to train models from scratch. GitHub's UnifiedQA project makes it easy for users to apply QA models across different formats which helps to reduce the time and effort needed to perform QA tasks.
