yuanzhoulvpi2017/Rust4SenVec
convert sentence to vector by nlp transformers model in Rust
This project helps machine learning engineers and developers deploy sentence embedding models into production environments with high efficiency. It takes raw text as input and outputs a numerical vector representing the sentence's meaning. The primary users are those building and operating high-performance natural language processing services.
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Use this if you need to convert sentences into numerical vectors very quickly and efficiently for live, high-volume applications, especially if you're working with Rust.
Not ideal if you are solely doing research or prototyping in Python and don't require extreme performance for production deployment.
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Jan 07, 2023
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