Updated docs

README.md

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     <a href="https://github.com/MinishLab/model2vec/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-green" alt="License - MIT"></a>
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 [Quickstart](#quickstart) •
 [Main Features](#main-features) •
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 [Model List](#model-list) •
 [Results](#results)
 
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 Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by a factor up to 50 and making the models up to 500 times 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.