Image Segmentation
BiRefNet
Safetensors
background-removal
mask-generation
Dichotomous Image Segmentation
Camouflaged Object Detection
pytorch_model_hub_mixin
model_hub_mixin
custom_code
Instructions to use ZhengPeng7/BiRefNet-COD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use ZhengPeng7/BiRefNet-COD with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("ZhengPeng7/BiRefNet-COD", 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("ZhengPeng7/BiRefNet-COD") - Notebooks
- Google Colab
- Kaggle
File size: 298 Bytes
f648b6e | 1 2 3 4 5 6 7 8 9 10 11 12 | from transformers import PretrainedConfig
class BiRefNetConfig(PretrainedConfig):
model_type = "SegformerForSemanticSegmentation"
def __init__(
self,
bb_pretrained=False,
**kwargs
):
self.bb_pretrained = bb_pretrained
super().__init__(**kwargs)
|