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TabFM Studio: point-and-click predictions on spreadsheets with tabular foundation models, fully local [P]
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! submitted by /u/Lckylke [link] [Kommentare] reddit.com · reddit.com ↗
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! submitted by /u/Lckylke [link] [Kommentare]
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