Image Segmentation
Transformers
PyTorch
pulmonary-embolism-segmentation
feature-extraction
ct-pulmonary-angiography
medical-imaging
ct
pulmonary-embolism
segmentation
nnunet
custom_code
Instructions to use yzluka/PulmonaryEmbolismSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yzluka/PulmonaryEmbolismSegmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="yzluka/PulmonaryEmbolismSegmentation", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yzluka/PulmonaryEmbolismSegmentation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Remove standalone evaluation metrics
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Set model card license to CC-BY-NC-4.0
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Add licensing note and HF inference command
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Clarify model loading example
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Add portable PE segmentation model
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initial commit
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