TabFM: A Zero-Shot Foundation Model for Tabular Data
TabFM introduces a 400‑million‑parameter foundation model that treats supervised tabular prediction as an in‑context learning problem, enabling calibrated zero‑shot forecasts in a single forward pass without any task‑spe…
→ View original source