Image Segmentation
PyTorch
Safetensors
ExecuTorch
TensorRT
English
semantic-segmentation
skin-fabric-detection
skin-segmentation
fabric-segmentation
dinov3
on-device
mobile
Instructions to use jamal-one/PyraFuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use jamal-one/PyraFuse 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 large/config.json from jamal-one/PyraFuse: direct link, hf CLI and curl.
- Browser
- Download file 383 Bytes
-
https://huggingface.co/jamal-one/PyraFuse/resolve/main/large/config.json
- Command line
-
hf download hf://jamal-one/PyraFuse/large/config.json
-
curl -L -o config.json https://huggingface.co/jamal-one/PyraFuse/resolve/main/large/config.json
383 Bytes
| { | |
| "encoder_type": "dinov3", | |
| "encoder_model_id": "facebook/dinov3-vitl16-pretrain-lvd1689m", | |
| "text_prompts": null, | |
| "decoder_type": "pyrafuse", | |
| "num_classes": 3, | |
| "decoder_channels": 128, | |
| "image_size": 448, | |
| "use_bn": false, | |
| "drop_path_rate": 0.05, | |
| "dropout": 0.1, | |
| "num_queries": 10, | |
| "num_transformer_layers": 3, | |
| "freeze_backbone": true, | |
| "ema_decay": 0.9995 | |
| } |