Instructions to use nobg/BiRefNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use nobg/BiRefNet with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("nobg/BiRefNet", trust_remote_code=True)# Option 2: use with BiRefNet # Install from https://github.com/ZhengPeng7/BiRefNet from models.birefnet import BiRefNet model = BiRefNet.from_pretrained("nobg/BiRefNet") - Notebooks
- Google Colab
- Kaggle
| { | |
| "dec_channels_inter": 64, | |
| "depths": [ | |
| 2, | |
| 2, | |
| 18, | |
| 2 | |
| ], | |
| "drop_path_rate": 0.2, | |
| "embed_dim": 192, | |
| "image_size": 1024, | |
| "mlp_ratio": 4.0, | |
| "nobg_version": "0.2.0", | |
| "num_heads": [ | |
| 6, | |
| 12, | |
| 24, | |
| 48 | |
| ], | |
| "num_layers": 4, | |
| "patch_size": 4, | |
| "use_gradient_attention": true, | |
| "use_image_patch_injection": true, | |
| "use_multi_scale_input": true, | |
| "window_size": 12 | |
| } |