MinishLab/model2vec-rs
Official Rust Implementation of Model2Vec
This tool helps developers rapidly convert text like sentences or document snippets into numerical representations called embeddings. You input text (either directly or from a file) and a pre-trained Model2Vec model, and it outputs a fast, compact numerical vector for each piece of text. It's designed for developers building applications that need very fast text processing and semantic understanding.
161 stars and 2,940 monthly downloads.
Use this if you are a developer integrating text embedding capabilities into an application and need a highly performant, memory-efficient solution for generating static embeddings from pre-trained Model2Vec models.
Not ideal if you are looking to train your own text embedding models or if your primary development environment is not Rust.
Stars
161
Forks
15
Language
Rust
License
MIT
Category
Last pushed
Feb 05, 2026
Monthly downloads
2,940
Commits (30d)
0
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