Image Segmentation
ONNX
BiRefNet
onnxruntime
background-removal
browser
clip-art
print-on-demand
t-shirt-design
knowledge-distillation
Instructions to use bowespublishing/crisp-cut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use bowespublishing/crisp-cut with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("bowespublishing/crisp-cut", 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("bowespublishing/crisp-cut") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- onnx/crispcut-fast.onnx +2 -2
- onnx/crispcut-quality.onnx +2 -2
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