
TabPFN
TabPFN is a transformer model designed for tabular data classification that provides fast and accurate predictions without the need for extensive training. It enables users to self-host a powerful ML model for tabular data tasks.
About TabPFN
TabPFN is a transformer model designed for tabular data classification that provides fast and accurate predictions without the need for extensive training. It enables users to self-host a powerful ML model for tabular data tasks.
How to Use This Project
Prerequisites
- •Git installed on your computer
- •Python development environment
- •Basic command line knowledge
- •Code editor (VS Code, Sublime Text, etc.)
Option 1: Clone the Repository
Clone the repository to your local machine for development:
git clone https://github.com/PriorLabs/TabPFNcd tabpfnOption 2: Fork the Repository
Fork the repository to contribute or customize:
- 1Visit the GitHub repository
- 2Click the "Fork" button in the top right
- 3Clone your forked repository
Option 3: Download ZIP
Download the project as a ZIP file if you don't need Git:
- 1Visit the GitHub repository
- 2Click "Code" → "Download ZIP"
- 3Extract the ZIP file to your desired location
Next Steps
- •Check the project's README.md for specific setup instructions
- •Install required dependencies (usually listed in package.json, requirements.txt, etc.)
- •Follow the project's documentation for configuration
- •Join the project's community for support and discussions
Categories
Technical Details
- Language
- Python
- License
- Apache-2.0
- GitHub Stars
- 3,901
Related Projects

n8n
Extendable workflow automation tool to easily automate tasks

Supabase
The Postgres Development Platform

Home Assistant
Open-source home automation that puts local control and privacy first

Syncthing
Local and remote peer-to-peer file synchronization

Grafana
Observability and data visualization platform for logs, metrics, and traces

Immich
Self-hosted immich solution
Have an Open Source Project?
Share your open source project with the community and get discovered by thousands of developers.
Submit Your Project