Instructions to use mantelmoritz/CorridorKey-ONNX-Graphs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use mantelmoritz/CorridorKey-ONNX-Graphs with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Revision 5: refiner graphs with Edge Refiner v15
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Revision 4: CorridorKey 1.0 (green, blue) and MODNet graphs at 256/384/512
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Revision 3: MoGe without identity Resize, RVM without ScatterElements (no DirectML CPU partitions); optional stage1rvmnomask
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Revision 2: fp32 RoPE tables in stage1nomask/stage2nomask; CUDA graph timings in the card
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Weight-free ONNX graphs v1: moge, rvm, stage1nomask, stage2nomask (256x512, 512x512), refiner b256-b768
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