From beb29ec8914603417ee9c4196a8b5134e2102fc4 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Mon, 23 May 2022 13:00:57 -0400 Subject: [PATCH] assignment for 18 --- lessons/5-NLP/18-Transformers/README.md | 2 +- lessons/5-NLP/18-Transformers/assignment.md | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 lessons/5-NLP/18-Transformers/assignment.md diff --git a/lessons/5-NLP/18-Transformers/README.md b/lessons/5-NLP/18-Transformers/README.md index bf07350b..97f8ec38 100644 --- a/lessons/5-NLP/18-Transformers/README.md +++ b/lessons/5-NLP/18-Transformers/README.md @@ -106,4 +106,4 @@ In this lesson you learned about Transformers and Attention Mechanisms, all esse * [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) \ No newline at end of file +## [Assignment](assignment.md) \ No newline at end of file diff --git a/lessons/5-NLP/18-Transformers/assignment.md b/lessons/5-NLP/18-Transformers/assignment.md new file mode 100644 index 00000000..f6d9d290 --- /dev/null +++ b/lessons/5-NLP/18-Transformers/assignment.md @@ -0,0 +1,3 @@ +# 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. \ No newline at end of file