Skip to content

Pytorch-Transformer architecture from the “Attention Is  All  You  Need” paper, delivering a clear and focused codebase for hands‑on learning. Engineered for real‑world prototyping, it transparently exposes core attention mechanisms and model workflows

Notifications You must be signed in to change notification settings

HarshilMaks/transformer

Repository files navigation

TRANSFORMER

Attention is all you need implementation

Last Commit Python Languages

Built with the tools and technologies:

JSON Markdown tqdm Python

Table of Contents


Overview

Pytorch-Transformer is a Python-based language processing project designed to bring clarity, performance, and modularity to natural language understanding tasks. With an emphasis on intelligent automation, it simplifies building and testing modern language models.


Getting Started

Prerequisites

This project requires the following dependencies:

  • Programming Language: Python
  • Package Manager: Pip

Installation

Build Tranformer from the source and install dependencies:

  1. Clone the repository:

    > git clone https://github.com/HarshilMaks/transformer
  2. Navigate to the project directory:

    > cd transformer
  3. Install the dependencies:

    Using pip:

    > pip install -r requirements.txt

For more information, refer to the paper Attention Is All You Need on arXiv.

About

Pytorch-Transformer architecture from the “Attention Is  All  You  Need” paper, delivering a clear and focused codebase for hands‑on learning. Engineered for real‑world prototyping, it transparently exposes core attention mechanisms and model workflows

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages