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
Push model using huggingface_hub.
Browse files- README.md +16 -0
- config.json +3 -0
- model.safetensors +3 -0
README.md
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---
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library_name: birefnet
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tags:
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- model_hub_mixin
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- Image Segmentation
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- Background Removal
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- Mask Generation
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- Dichotomous Image Segmentation
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- Camouflaged Object Detection
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- Salient Object Detection
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- pytorch_model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Library: https://github.com/ZhengPeng7/BiRefNet
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- Docs: [More Information Needed]
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config.json
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{
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"bb_pretrained": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e544a60ccba5cf01a0a62ad94b2837088fd0b9a69bd80dcc9da93a726bc6a89
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size 884878824
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