Instructions to use moonbox-dev/BiRefNet_lite-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use moonbox-dev/BiRefNet_lite-ONNX with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("moonbox-dev/BiRefNet_lite-ONNX", 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("moonbox-dev/BiRefNet_lite-ONNX") - Notebooks
- Google Colab
- Kaggle
int8 build of BiRefNet-lite
Browse files- int8/model.onnx +3 -0
int8/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:97dd832a68fe8e637ce679bf2e66f6e0e04e66338da62b2894659a18c1040d9d
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size 91738399
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