Welcome to the Transformer model tutorial! This repository contains a detailed guide on how to build a Transformer model from scratch using PyTorch. The tutorial is based on the groundbreaking paper "Attention is All You Need" by Vaswani et al., which introduced the Transformer architecture revolutionizing natural language processing tasks.
- Comprehensive Guide: Step-by-step instructions to build a Transformer model.
- From Scratch Implementation: Learn how each component of a Transformer is implemented in PyTorch.
- Interactive Notebook: A Google Colab notebook is included for interactive learning and experimentation without needing any local setup.
To follow this tutorial, you will need a basic understanding of Python and neural networks. Familiarity with PyTorch and natural language processing (NLP) concepts is helpful but not required.
To make it easy for everyone to run and experiment with the model, a Colab notebook is provided. Simply click on the link below to open the notebook in your browser and follow the instructions:
Open Transformer Model Tutorial in Colab
To get a local copy up and running, clone the repository using the following command:
git clone https://github.com/SahilKonjarla/Translation-Model-Transformer.git