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Computational Model Studio · Model release

TabPFN v2 Classifier

Predicts class labels from small tabular datasets using a pretrained tabular model.

Developer: Prior Labs · Last verified:

What it is designed to do

Classify rows of tabular data without task-specific training in the documented small-data setting.

Primary contribution
prediction estimation
Input
tabular
Output
tabular (class predictions)

Documented uses: Classification on small tabular datasets.

Access and deployment

  • TabPFN v2 Classifier model files — available. Public publisher repository; review applicable terms before use. Artifact documentation Local hardware requirements have not been verified. The full artifact-specific rights document has not been separately reviewed; consult the publisher repository conditions.
Technical profile and review notes
Construction
learned
Representation
neural
Normalized architecture tags
No normalized architecture tag assigned
Lifecycle
Unknown from reviewed sources

Inclusion rationale: Adds tabular classification, distinct from time-series forecasting and text moderation.

Limitations

  • Publisher describes the small-data setting; this is not a blanket claim for arbitrary table size.
  • The model uses the custom Prior Labs License 1.1 with added attribution conditions.

Sources and related Studio records

Sources

  1. TabPFN v2 classifier model cardPrior Labs · checked 2026-09-30

Connections