Inference 1.7.3: Faster RF-DETR on Mac
Inference 1.7.3 is now available. RF-DETR now runs through Core ML on Apple silicon, about 3x faster than on CPU in our tests with RF-DETR Nano on an M4 Max.
The release also adds the Embedding Model block, which pulls feature vectors from a classifier you already trained (ResNet, ViT, or DINOv3) so you can feed them to Cosine Similarity for novelty detection or similarity search without retraining.
PreviousDedicated Deployments: Run a startup script before inference starts
NextRF-DETR 1.11: Export to OpenVINO, LiteRT, and Core AI
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