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12 changes: 8 additions & 4 deletions README.md
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<a href="https://pypi.org/project/model2vec/"><img src="https://img.shields.io/pypi/v/model2vec?color=%23007ec6&label=pypi%20package" alt="Package version"></a>
<a href="https://pypi.org/project/model2vec/"><img src="https://img.shields.io/pypi/pyversions/model2vec" alt="Supported Python versions"></a>
<a href="https://pepy.tech/project/model2vec">
<img src="https://static.pepy.tech/badge/model2vec" alt="Downloads">
<img src="https://static.pepy.tech/badge/model2vec" alt="Downloads">
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<a href="https://app.codecov.io/gh/MinishLab/model2vec">
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<img src="https://codecov.io/gh/MinishLab/model2vec/graph/badge.svg?token=21TWJ6B5ET" alt="Codecov">
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<img src="https://img.shields.io/badge/Join-Discord-5865F2?logo=discord&logoColor=white" alt="Join Discord">
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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">
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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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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.

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