---
title: "Discussion on \"Static embeddings: a practical guide to model2vec\" | Hashnode"
description: "Discussion on \"Static embeddings: a practical guide to model2vec\". Sentence-transformer embeddings work well, but they are slow on a CPU. For a few thousand texts, the speed doesn't matter. When you embed millions of texts, or need embeddings within a tight latency b"
url: "https://hashnode.com/posts/practical-guide-to-model2vec/6ab5dcb4e7fbb1e913b733eb"
---

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# [Static embeddings: a practical guide to model2vec](https://infocruncher.hashnode.dev/practical-guide-to-model2vec?utm_source=hashnode&utm_medium=feed)

Sentence-transformer embeddings work well, but they are slow on a CPU. For a few thousand texts, the speed doesn't matter. When you embed millions of texts, or need embeddings within a tight latency b

Sep 25 · 8 min read · infocruncher.hashnode.dev  
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-   [#model2vec](https://hashnode.com/tag/model2vec)
-   [#embeddings](https://hashnode.com/tag/embeddings)
-   [#classification](https://hashnode.com/tag/classification)

## Written by

[Dylan Hogg](https://hashnode.com/@dylanhogg)

@dylanhogg · Sydney, Australia

  
[View profile](https://hashnode.com/@dylanhogg)

ML, AI, Maths, Software and the future.

ML Engineer

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