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
| library_name: birefnet | |
| tags: | |
| - model_hub_mixin | |
| - Image Segmentation | |
| - Background Removal | |
| - Mask Generation | |
| - Dichotomous Image Segmentation | |
| - Camouflaged Object Detection | |
| - Salient Object Detection | |
| - pytorch_model_hub_mixin | |
| This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration: | |
| - Library: https://github.com/ZhengPeng7/BiRefNet | |
| - Docs: [More Information Needed] |