TabFM Studio: point-and-click predictions on spreadsheets with tabular foundation models, fully local [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I built a small web app that lets you run tabular foundation models (currently just Google's TabFM) on spreadsheets without writing any code.
Just drop in a CSV/Excel file, click a column header to mark what to predict, hit predict. Rows where the target cell is filled become the in-context examples and empty ones get predicted, right on the grid.
A lot of people who'd benefit from these models aren't programmers, so I wrapped it in a UI anyone can use :)
Repo: https://github.com/LckyLke/TabFMLabs
Feedback very welcome!
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