Shelf: sorting Downloads offline with a 23 MB open model

说明与用途

Shelf 使用 23 MB 的句子嵌入模型，离线自动整理 Downloads 文件夹，并通过预览和撤销日志确保安全。

问题

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

结果

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.

工作流

• 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.

证据

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.

来源

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.

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

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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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