Instructions to use GleghornLab/lymph_node_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/lymph_node_segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="GleghornLab/lymph_node_segmentation")# Load model directly from transformers import UNetForSegmentation model = UNetForSegmentation.from_pretrained("GleghornLab/lymph_node_segmentation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dec6fc92ab2c48357a902dadffe48a8a529716d1d6afbac321361d0de569d17
- Size of remote file:
- 2.21 GB
- SHA256:
- 16649a1d727ddf7f3ebeb663a375f4c91d8ec9655e70f45aad83f37dc12481d1
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