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 ZhengPeng7/BiRefNet_512x512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use ZhengPeng7/BiRefNet_512x512 with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("ZhengPeng7/BiRefNet_512x512", 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_512x512") - Notebooks
- Google Colab
- Kaggle
Commit ·
cf2ff4a
1
Parent(s): 2b23729
Fix the bug by latest transformers and update req.txt.
Browse files
README.md
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license: mit
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---
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> This BiRefNet was trained with images in `512x512` for
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### Performance:
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> All tested in FP16 mode.
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license: mit
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> This BiRefNet was trained with images in `512x512` for faster and more accurate lower resolution inference.
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### Performance:
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> All tested in FP16 mode.
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