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 * [Blog post](https://mchromiak.github.io/articles/2017/Sep/12/Transformer-Attention-is-all-you-need/), explaining the classical [Attention is all you need](https://arxiv.org/abs/1706.03762) paper on transformers.
 * [A series of blog posts](https://towardsdatascience.com/transformers-explained-visually-part-1-overview-of-functionality-95a6dd460452) on transformers, explaining the architecture in detail.
 
-## [Assignment](lab/README.md)
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+## [Assignment](assignment.md)
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+# Assignment: Transformers
+
+Experiment with Transformers on HuggingFace! Try some of the scripts they provide to work with the various models available on their site: https://huggingface.co/docs/transformers/run_scripts. Try one of their datasets, then import one of your own from this curriculum or from Kaggle and see if you can generate interesting texts. Produce a notebook with your findings.
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