Published on: 2025-07-04 07:01:35
This crate provides a lightweight Rust implementation for loading and inference of Model2Vec static embedding models. For distillation and training, the Python Model2Vec package can be used. Quick Start Add the crate: cargo add model2vec-rs Make embeddings: use anyhow :: Result ; use model2vec_rs :: model :: StaticModel ; fn main ( ) -> Result < ( ) > { // Load a model from the Hugging Face Hub or a local path // args = (repo_or_path, token, normalize, subfolder) let model = StaticModel ::
Keywords: base embeddings model potion rust
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