Running Privacy-Preserving Inferences on Hugging Face Endpoints

📰 Hugging Face Blog

Run privacy-preserving inferences on Hugging Face Endpoints using pre-compiled models and client-side encryption

intermediate Published 16 Apr 2024
Action Steps
  1. Deploy a pre-compiled model on Hugging Face Endpoints
  2. Install the client-side library
  3. Run inferences using the encrypted model
  4. Adapt the implementation to specific application needs
Who Needs to Know This

Data scientists and machine learning engineers can benefit from this feature to deploy secure and private models, while developers can use the client-side library to integrate the functionality into their applications

Key Insight

💡 Hugging Face Endpoints now support privacy-preserving inferences using client-side encryption

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🔒 Run private inferences on #HuggingFace Endpoints with pre-compiled models!
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