This repository provides a minimal, educational, and annotated implementation of GPT-2, designed for learning and experimentation. The code is written from scratch to help users understand the inner workings of transformer-based language models.
- Pure Python implementation of core GPT-2 components
- Step-by-step explanations and comments throughout the code
- Minimal dependencies for easy setup and experimentation
- Example scripts for training and inference
- Configurable model parameters
Clone this repository:
git clone https://github.com/Cohegen/gpt2-from-scratch.git
cd gpt2-from-scratch