Shelf: sorting Downloads offline with a 23 MB open model

Описание и применение

Shelf автоматически сортирует папку Downloads, используя 23 МБ модель эмбеддингов предложений, при этом обеспечивая безопасность через предварительный просмотр и журнал отката.

Задача

Users struggle to organize cluttered Downloads folders, especially plain‑text files whose content does not indicate a target folder.

Результат

Shelf automatically organizes Downloads offline, using a 23 MB sentence‑embedding model to classify plain‑text files, while ensuring safety via dry runs, hard‑link moves, and an undo log.

Рабочий процесс

• 1. Run shelf on the Downloads folder to generate a dry‑run plan. 2. Review the plan and the model’s decision rationale. 3. Execute shelf --apply to move files. 4. Use shelf undo <folder> to revert the last run if needed.

Доказательства

Shelf is a command-line tool that tidies a messy folder. Point it at your Downloads folder and it shows you where every top-level file would go.

Источник

The file’s text is embedded once, and each folder is scored by its best-matching prototype. The top folder wins only if it beats the runner-up by at least 0.05 cosine similarity.

Источник

Dry run is the default. Nothing moves without --apply.

Источник

On ten synthetic text files that I wrote for this test, the real model got 7 right. Two went to Unsorted and one was wrong.

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