Installation

You can access our models through our API (https://github.com/automl/tabpfn-client) or via our user interface built on top of the API (https://www.priorlabs.ai/tabpfn-gui). We will release open weights models soon, currently we are available via api and via our user interface built on top of the API.

Python API Client (No GPU, Online)Python Local (GPU)

pip install tabpfn-client

To log into your account, create an account through our website or through the programmatic interface. Then log into that account by setting the token with

from tabpfn_client import config

# Retrieve Token
with open(config.g_tabpfn_config.user_auth_handler.CACHED_TOKEN_FILE, 'r') as file:
    token = file.read()
print(f"TOKEN: {token}")
from tabpfn_client import config

# Set Token
service_client = config.ServiceClient()
config.g_tabpfn_config.user_auth_handler = config.UserAuthenticationClient(service_client=service_client)
user_auth = config.g_tabpfn_config.user_auth_handler.set_token(token)

Warning

Not released yet