TabPFN Token Setup
TabPFN is optional in STREAMLINE. Install it separately when you want to run TabPFN models:
pip install tabpfn
TabPFN requires a one-time Prior Labs license acceptance before it can download
model weights for local inference. STREAMLINE can import and configure TabPFN
without this token, but Phase 6 skips requested TabPFN models until
TABPFN_TOKEN is available in the environment.
Warning
If TABPFN_TOKEN is not set, Phase 6 warns and skips requested TabPFN models
instead of failing the full run. Other requested models, including HEROS, still
run normally. A passing run with skipped TabPFN means TabPFN was not fit.
Get A Token
Open
https://ux.priorlabs.aiin a browser.Log in or create an account.
Accept the TabPFN license on the Licenses tab.
Copy the API key from
https://ux.priorlabs.ai/account.
Do not commit this token to git, notebooks, config files, shared shell history, or issue trackers.
Set The Token For One Terminal Session
Activate your STREAMLINE environment and export the token before running TabPFN models:
conda activate streamline
export TABPFN_TOKEN="paste-your-api-key-here"
Confirm Python can see it:
python -c "import os; print('TABPFN_TOKEN set:', bool(os.environ.get('TABPFN_TOKEN')))"
Make The Token Persistent For A Conda Environment
Create conda activation scripts so the token is set whenever the environment is activated and removed when it is deactivated:
conda activate streamline
mkdir -p "$CONDA_PREFIX/etc/conda/activate.d" "$CONDA_PREFIX/etc/conda/deactivate.d"
printf 'export TABPFN_TOKEN="paste-your-api-key-here"\n' > "$CONDA_PREFIX/etc/conda/activate.d/tabpfn_token.sh"
printf 'unset TABPFN_TOKEN\n' > "$CONDA_PREFIX/etc/conda/deactivate.d/tabpfn_token.sh"
chmod 600 "$CONDA_PREFIX/etc/conda/activate.d/tabpfn_token.sh"
Restart the terminal or run:
conda deactivate
conda activate streamline
Run The TabPFN-Specific Pytest
The TabPFN pytest is intentionally explicit-only so the main test suite does not run a heavyweight model download or fit by accident. Run it directly:
pytest streamline/tests/subtests/tabpfn_smoke.py -q -rs
Without TABPFN_TOKEN, the no-token skip behavior is tested and the actual
TabPFN fit test is skipped with a visible reason. With TABPFN_TOKEN set, the
same command also runs the TabPFN binary wrapper fit smoke test.
Use TabPFN In Notebooks
For local notebooks, set the token before launching Jupyter from the same shell:
conda activate streamline
export TABPFN_TOKEN="paste-your-api-key-here"
jupyter notebook
For Colab, store the token in Colab secrets or set it in a private cell before running TabPFN models:
import os
os.environ["TABPFN_TOKEN"] = "paste-your-api-key-here"
Avoid saving notebooks with a real token embedded in a code cell.