BiRefNet
Safetensors
model_hub_mixin
Image Segmentation
Background Removal
Mask Generation
Dichotomous Image Segmentation
Camouflaged Object Detection
Salient Object Detection
pytorch_model_hub_mixin
Instructions to use not-lain/BiRefNet-massive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use not-lain/BiRefNet-massive with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("not-lain/BiRefNet-massive", 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("not-lain/BiRefNet-massive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25128c316c483327f6ff135ab0b69a1f0ce1bb6efe8b7fd7f24eea298d09bfde
- Size of remote file:
- 885 MB
- SHA256:
- 6e544a60ccba5cf01a0a62ad94b2837088fd0b9a69bd80dcc9da93a726bc6a89
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