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
File size: 399 Bytes
9a2e897 | 1 2 3 4 5 6 7 8 9 10 11 | LibreBiRefNetl-matte weights
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This product contains weights derived from BiRefNet
(https://github.com/ZhengPeng7/BiRefNet).
Copyright (c) 2024 ZhengPeng (Peng Zheng).
Licensed under the MIT License.
Conversion is a state-dict metadata-wrap: learned parameters are unchanged.
See weights/convert_birefnet_weights.py in the LibreYOLO source repository.
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