TabFM delivers zero‑shot predictions on any table without training
Google’s new TabFM model treats a spreadsheet as a prompt, delivering classification or regression results in a single forward pass. By using in‑context learning, it skips the usual data‑science grind—no model fitting, hyper‑parameter search, or feature engineering required. The code is open on Hugging Face and GitHub.