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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yzluka/PulmonaryEmbolismSegmentation", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 590bbe3a50356320aba3902040cc8a77aae3345d111bf344cda89d8d9e5a8eec
- Size of remote file:
- 566 MB
- SHA256:
- 2abdbd407070c70df1b83271c25d2812770bb1cc233c6d72f1df1c5769e42188
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