How to use HF endpoints to run Concrete-ML privacy-preserving ML models #2
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bcm-at-zama
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bcm-at-zama
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Feb 29, 2024
zh/starcoder2.md
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| @@ -6,47 +6,35 @@ authors: | |||
| - user: loubnabnl | |||
| - user: anton-l | |||
| - user: nouamanetazi | |||
| translators: | |||
| translator: | |||
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I don't know what happens with this file zh/starcoder2.md: when I updated my main copy, I got an issue. I think it's related to some capitalization changes in the file.
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…reserving ML models.
reviews to be squashed Co-authored-by: Omar Sanseviero <[email protected]> Co-authored-by: Pedro Cuenca <[email protected]>
suggestion by pcuenca Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Omar Sanseviero <[email protected]>
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Add a new blog post: How to use HF endpoints to run Concrete-ML privacy-preserving ML models.
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Hello Hugging Face people.
This is a proposed blog post to explain how to deploy our Concrete ML models on the HF endpoints with custom handlers. Concrete ML is about privacy-preserving ML, we already made two HF blogs (https://huggingface.co/blog/encrypted-llm and https://huggingface.co/blog/sentiment-analysis-fhe).
Here, we use your endpoints to directly deploy some models we have saved in https://huggingface.co/zama-fhe?sort_models=modified#models. It was an idea which some of you proposed and that we discussed, a long time ago. And it was finally quite easy to make, and it works very well.