Image Segmentation
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 Pushti/BirefNetHR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use Pushti/BirefNetHR with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("Pushti/BirefNetHR", 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("Pushti/BirefNetHR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bcd3e6b46e79c19fb3345f3981a721a1034e5e530120787896ab62a452cc3ed
- Size of remote file:
- 444 MB
- SHA256:
- 9d678bafec0b0019fbb073b7fd02f05ede25dc4b15254f23b2fb0be333200c0d
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