kampersanda/sif-embedding

Rust implementation of SIF and uSIF: Simple and fast sentence embedding

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Experimental

This library helps developers quickly convert sentences into numerical representations (embeddings) for tasks like comparing text similarity or powering search. It takes raw text sentences as input and outputs numerical vectors representing their meaning. Machine learning engineers and data scientists building natural language processing applications would find this useful.

No commits in the last 6 months.

Use this if you need fast sentence embeddings for your application and cannot use GPUs, or you require a solid baseline for text similarity tasks.

Not ideal if you require the absolute highest accuracy for sentence similarity and have access to powerful GPU resources for state-of-the-art deep learning models.

natural-language-processing text-similarity information-retrieval machine-learning-engineering
Stale 6m No Package No Dependents
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19

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Language

Rust

License

Apache-2.0

Last pushed

Jan 22, 2025

Monthly downloads

15

Commits (30d)

0

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