 Model description  Tk-Instruct is a series of encoder-decoder Transformer models that are trained to solve various NLP tasks by following in-context instructions (plain language task definitions, k-shot examples, explanations, etc). Built upon the pre-trained [T5 models](https://arxiv.org/abs/1910.10683), they are fine-tuned on a large number of tasks & instructions that are collected in the [Natural Instructions benchmark](https://github.com/allenai/natural-instructions), which contains 1600+ tasks in 70+ broach categories in total. This enables the model to not only process the training tasks, but also generalize to many unseen tasks without further parameter update.  More resources for using the model: - **Paper**: [link](https://arxiv.org/abs/2204.07705) - **Code repository**: [Tk-Instruct](https://github.com/yizhongw/Tk-Instruct) - **Official Website**: [Natural Instructions](https://instructions.apps.allenai.org/) - **All released models**: [allenai/tk-instruct](https://huggingface.co/models?search=allenai/tk-instruct)  