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
Download NOTICE-MODNet from mantelmoritz/CorridorKey-ONNX-Graphs: direct link, hf CLI and curl.
- Browser
- Download file 791 Bytes
-
https://huggingface.co/mantelmoritz/CorridorKey-ONNX-Graphs/resolve/main/NOTICE-MODNet
- Command line
-
hf download hf://mantelmoritz/CorridorKey-ONNX-Graphs/NOTICE-MODNet
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curl -L -o NOTICE-MODNet https://huggingface.co/mantelmoritz/CorridorKey-ONNX-Graphs/resolve/main/NOTICE-MODNet
791 Bytes
| MODNet webcam portrait matting model, safetensors format | |
| The model weights in model.safetensors are the official pre-trained MODNet webcam portrait matting | |
| checkpoint (modnet_webcam_portrait_matting.ckpt) by Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan and | |
| Rynson W.H. Lau, published at https://github.com/ZHKKKe/MODNet (commit | |
| 28165a451e4610c9d77cfdf925a94610bb2810fb). According to that repository's README, its code, models and demos | |
| are released under the Apache License 2.0 (see LICENSE). | |
| Modification: the checkpoint was converted from a PyTorch pickle to the safetensors format. All 751 | |
| state_dict entries keep their names and values. Tensors that the original checkpoint stores under two names | |
| (module.backbone.* and module.lr_branch.backbone.*) are saved as two identical copies. | |