Getting Started

How to get started with TabPFN

1

Access the Tool

Use the hosted API for instant commercial access or install the open-source Python package from Hugging Face for non-commercial use.

2

Prepare Data

Upload structured tabular data such as CSV files, dataframes, or database tables.

3

Run Predictions

Execute predictions which are delivered in one forward pass without tuning or retraining.

4

Integrate

Incorporate TabPFN into Python notebooks, production pipelines, enterprise platforms, or download models for offline use.