Instructions to use nobg/FeyNobg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- nobg
How to use nobg/FeyNobg with nobg:
pip install nobg
# Option 1: use via the predict method from nobg import AutoModel, AutoProcessor model = AutoModel.from_pretrained("nobg/FeyNobg").eval() processor = AutoProcessor.from_pretrained("nobg/FeyNobg") cutout = model.predict(processor, "image.jpg")# Option 2: use the model and processor directly import torch from loadimg import load_img from nobg import AutoModel, AutoProcessor model = AutoModel.from_pretrained("nobg/FeyNobg").eval() processor = AutoProcessor.from_pretrained("nobg/FeyNobg") image = load_img("image.jpg").convert("RGB") inputs = processor(image, return_tensors="pt") with torch.no_grad(): outputs = model(pixel_values=inputs["pixel_values"]) alpha = processor.post_process_alpha_matting(outputs, target_sizes=[(image.height, image.width)])[0] processor.cutout(image, alpha).save("output.png") - BiRefNet
How to use nobg/FeyNobg with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("nobg/FeyNobg", 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("nobg/FeyNobg") - Notebooks
- Google Colab
- Kaggle
Commit History
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Push model using huggingface_hub.
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Push model using huggingface_hub.
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Upload processor
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Push model using huggingface_hub.
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Add background-removal usage with AutoProcessor
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Add preprocessor_config.json
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FeyNobg: BiRefNet grown to depths [2,2,24,2] (262.8M) via from_origin from nobg/BiRefNet base; trained 5000 steps on a 28k balanced 12-source mix incl. matting sets; checkpoint-4500 (best mean S-measure 0.9350 over 8 benchmarks)
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initial commit
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