Instructions to use LibreYOLO/LibreBiRefNetl-matte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use LibreYOLO/LibreBiRefNetl-matte with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("LibreYOLO/LibreBiRefNetl-matte", 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("LibreYOLO/LibreBiRefNetl-matte") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2a907e3f956c1b38ae56b785c58772b156151165691e2f94c3811619aec8b9f
- Size of remote file:
- 885 MB
- SHA256:
- 8f5e9814e1702023d357cffd90bd8a500e5a34a3f73b0297e83167006dde72b9
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