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37 changes: 37 additions & 0 deletions README.md
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Expand Up @@ -596,6 +596,43 @@ This notebooks in this section shows how you can load data from various sources
> **Note**: We're happy to announce new features are out from beta testing and now available to the public, completely free of charge! We invite you to try them out and provide us with your valuable [feedback](https://visualdatabase.slack.com/join/shared_invite/zt-19jaydbjn-lNDEDkgvSI1QwbTXSY6dlA#/shared-invite/email)!

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<a href="https://visual-layer.readme.io/docs/embeddings-timm">
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<b> 🧠 TIMM Embeddings:</b> Compute dataset embeddings using <a href="https://github.com/huggingface/pytorch-image-models">TIMM (PyTorch Image Models)</a> and run fastdup over the them to surface dataset issues. Runs on CPU and GPU.
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<a href="https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/embeddings-timm.ipynb">
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<a href="https://github.com/visual-layer/fastdup/blob/main/examples/embeddings-timm.ipynb">
<img src="./gallery/github_logo.png" height="25">
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<a href="https://colab.research.google.com/github/visual-layer/fastdup/blob/main/examples/embeddings-timm.ipynb">
<img src="./gallery/colab_logo.png" height="20">
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<a href="https://kaggle.com/kernels/welcome?src=https://github.com/visual-layer/fastdup/blob/main/examples/embeddings-timm.ipynb">
<img src="./gallery/kaggle_logo.png" height="25">
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<a href="https://visual-layer.readme.io/docs/getting-started">
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