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
Add `library_name: transformers` to metadata (#4)
Browse files- Add `library_name: transformers` to metadata (9a27ad51f23565995b66a1ad1de55cae5ed4dc21)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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language: en
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- layer decomposition
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pipeline_tag: image-segmentation
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## LayerD BiRefNet Matting Module
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language: en
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license: apache-2.0
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pipeline_tag: image-segmentation
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library_name: transformers
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tags:
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- layer decomposition
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- image segmentation
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- image matting
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- design
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## LayerD BiRefNet Matting Module
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