| title: TabFM Small Data Champion | |
| emoji: 🏆 | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 6.19.0 | |
| app_file: app.py | |
| short_description: TabFM vs classic ML on tiny tables | |
| startup_duration_timeout: 1h | |
| # TabFM Small Data Champion | |
| Custom `gr.Server` benchmark arena comparing `google/tabfm-1.0.0-pytorch` | |
| against XGBoost, LightGBM, Random Forest, and a linear baseline on small | |
| tabular datasets. | |
| The app pre-computes benchmark rows at startup, serves a custom dark frontend, | |
| and exposes Gradio API endpoints for benchmark results, dataset metadata, model | |
| metadata, and a single live benchmark run. | |