This example is a follow-up to the Video Classification with a CNN-RNN Architecture example. This time, we will be using a Transformer-based model (Vaswani et al.) to classify videos. You can follow this book chapter in case you need an introduction to Transformers (with code). After reading this example, you will know how to develop hybrid Transformer-based models for video classification that operate on CNN feature maps.