Image-to-Image
BiRefNet
Safetensors
background-removal
mask-generation
Dichotomous Image Segmentation
Camouflaged Object Detection
Salient Object Detection
pytorch_model_hub_mixin
model_hub_mixin
custom_code
Instructions to use not-lain/BiRefNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use not-lain/BiRefNet with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("not-lain/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("not-lain/BiRefNet") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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repo_url: https://github.com/ZhengPeng7/BiRefNet
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pipeline_tag: image-
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license: mit
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---
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<h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>
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- pytorch_model_hub_mixin
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repo_url: https://github.com/ZhengPeng7/BiRefNet
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pipeline_tag: image-to-image
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license: mit
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---
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<h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>
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