former
Delve into basic transformer concepts through a streamlined PyTorch model, ideal for educational use. The project features clear implementations minus the complexity of larger transformers, focusing on a single transformer block stack. Follow simple installation instructions using pip or conda environments. Execute basic experiments such as IMDb data classification with customizable hyperparameters. Perfect for hands-on exploration and customization, for those interested in learning about self-attention mechanisms without added complexity. Best suited for Python 3.6+ users interested in a comprehensive educational experience with transformers.
