Face Embedding Model (ONNX)

This model converts a cropped face image into a 512-dimensional embedding vector. Ideal for event-based photo matching or identity-aware photo search systems.

Framework: ONNX
Task: Feature Extraction
Output: 512-dimensional float vector

Example Usage

curl -X POST https://api-inference.huggingface.co/models/haikalmumtaz/facenet-onnx \
  -H "Authorization: Bearer hf_xxx" \
  -H "Content-Type: application/json" \
  -d '{"inputs": "image_url_or_base64"}'

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