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Updated readme
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Pringled committed Nov 22, 2024
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Expand Up @@ -11,6 +11,6 @@ This is a list of all our tutorials. They are all self-contained ipython noteboo

| | what? | Link |
|--------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------|
| **Recipe search** | Learn how to do lightning-fast semantic search by distilling a small model. Compare a really tiny model to a larger with one with a better vocabulary. Learn what Fattoush is (delicious). | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/recipe_search.ipynb) |
| **Semantic deduplication** | Learn how Model2Vec can be used to detect duplicate texts. Clean your dataset efficiently by finding both exact and semantic duplicates. Detect train-test leakage. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_deduplication.ipynb) |
| **Semantic chunking** | Learn how to chunk your text into meaningful segments with [Chonkie](https://github.com/bhavnicksm/chonkie) at lightning-speed. Efficiently query you chunks with [Vicinity](https://github.com/MinishLab/vicinity) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_chunking.ipynb) |
| **Recipe search** 🍝 | Learn how to do lightning-fast semantic search by distilling a small model. Compare a really tiny model to a larger with one with a better vocabulary. Learn what Fattoush is (delicious). | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/recipe_search.ipynb) |
| **Semantic deduplication** 🧹 | Learn how Model2Vec can be used to detect duplicate texts. Clean your dataset efficiently by finding both exact and semantic duplicates. Detect train-test leakage. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_deduplication.ipynb) |
| **Semantic chunking** 🧩 | Learn how to chunk your text into meaningful segments with [Chonkie](https://github.com/bhavnicksm/chonkie) at lightning-speed. Efficiently query you chunks with [Vicinity](https://github.com/MinishLab/vicinity) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_chunking.ipynb) |

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