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
metadata
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 integration:
- Library: https://github.com/ZhengPeng7/BiRefNet
- Docs: [More Information Needed]