Transformer tutorials

 

Yes, there are several tutorials available on transformers in Python for AI. One such tutorial is available on Turing ¹. This tutorial provides an introduction to transformers and their benefits compared to recurrent neural networks. It also walks you through some real-world case scenarios using Huggingface transformers.

Another tutorial available on Machine Learning Mastery ² provides a step-by-step guide to train the transformer model for neural machine translation. The tutorial covers preparing the training dataset, applying a padding mask to the loss and accuracy computations, and plotting the training and validation loss curves.

If you’re interested in learning about the Transformer model architecture in detail, you can check out this tutorial on AAAI 2023 ². The tutorial aims to share recent developments on unified neural architectures that process different input modalities and learn to solve diverse tasks from the perspective of Transformer architectures. The goal is to equip attendees with “everything they need to know about Transformers.”

I hope this helps! Let me know if you have any other questions.