MLC prebuilt q4f16_1 weights paired with the prebuilt WebGPU library; every parameter tensor verified against the library's embedded table.
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YuNet (OpenCV Zoo, dynamic input) and Megvii's official YOLOX ONNX (nano / s).
U²-Net and IS-Net (DIS) as distributed by rembg — pinned, hashed, smoke-run under onnxruntime.
The repos' own ONNX exports, verified against their PyTorch weights at the same commit (max abs ≤ 5e-5, cosine 1.0). transformers.js layout.
Silero VAD v5 and Kokoro-82M (fp16 + q8 + 55 voices) for in-browser audio apps.
Real-ESRGAN exports for onnxruntime-web — fp32 + fp16, dynamic H/W, parity-verified against the official .pth weights, byte-reproducible.
MLC prebuilt q4f16_1 weights paired with the prebuilt WebGPU library; every parameter tensor verified against the library's embedded table.
The repos' own ONNX exports, verified against their PyTorch weights at the same commit (max abs ≤ 5e-5, cosine 1.0). transformers.js layout.
YuNet (OpenCV Zoo, dynamic input) and Megvii's official YOLOX ONNX (nano / s).
Silero VAD v5 and Kokoro-82M (fp16 + q8 + 55 voices) for in-browser audio apps.
U²-Net and IS-Net (DIS) as distributed by rembg — pinned, hashed, smoke-run under onnxruntime.
Real-ESRGAN exports for onnxruntime-web — fp32 + fp16, dynamic H/W, parity-verified against the official .pth weights, byte-reproducible.