Image Segmentation
Transformers
Safetensors
English
layer decomposition
image segmentation
image matting
design
custom_code
Instructions to use cyberagent/layerd-birefnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyberagent/layerd-birefnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="cyberagent/layerd-birefnet", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("cyberagent/layerd-birefnet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update BiRefNet_config.py
Browse filesFix the compatibility with transformers >=4.56
- BiRefNet_config.py +2 -0
BiRefNet_config.py
CHANGED
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@@ -5,7 +5,9 @@ class BiRefNetConfig(PretrainedConfig):
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def __init__(
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self,
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bb_pretrained=False,
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**kwargs
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):
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self.bb_pretrained = bb_pretrained
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super().__init__(**kwargs)
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def __init__(
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self,
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bb_pretrained=False,
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+
is_encoder_decoder=False,
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**kwargs
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):
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self.bb_pretrained = bb_pretrained
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+
self.is_encoder_decoder = is_encoder_decoder
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super().__init__(**kwargs)
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