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Updated readme
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<img src="assets/images/model2vec_model_diagram_transparant_light.png#gh-light-mode-only" width="90%">
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Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance. See our results [here](results/README.md), or dive in to see how it works.
Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance. Our [best model](https://huggingface.co/minishlab/potion-base-8M) is the most performant static embedding model in the world. See our results [here](results/README.md), or dive in to see how it works.


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