> ## Documentation Index
> Fetch the complete documentation index at: https://docs.labelbox.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Hugging Face integration

> Describes how to combine the Python SDK and HuggingFace Transformer models to improve similarity search.

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  <Card title="Open In Colab" icon="infinity" iconType="solid" href="https://colab.research.google.com/github/Labelbox/labelbox-notebooks/blob/main/integrations/huggingface/huggingface_custom_embeddings.ipynb" horizontal />

  <Card title="GitHub" icon="github" iconType="solid" href="https://github.com/Labelbox/labelbox-notebooks/blob/main/integrations/huggingface/huggingface_custom_embeddings.ipynb" horizontal />
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You can improve similarity search for your data rows by using the Labelbox Python SDK and Hugging Face Transformer models to custom embeddings.

This lets you use off-the-shelf models to create search terms that lets you compare custom embedding and model performance.