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her2-prediction-checkpoints
zhezi12138/her2-prediction-checkpoints
her2-prediction-checkpoints is a machine learning model from zhezi12138. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
PyTorch checkpoints for the current formal HER2 prediction experiments. Each directory is a five-fold ensemble; average the five fold probabilities for ensemble inference.
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Updated Sep 8, 2026
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At a glance
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 8, 2026
- SHA
- d1d7b3c6
Model card
From the Hugging Face model README
HER2 Prediction Model Checkpoints
PyTorch checkpoints for the current formal HER2 prediction experiments. Each directory is a five-fold ensemble; average the five fold probabilities for ensemble inference.
| Folder | Model |
|---|---|
ndpi_vanilla | pure NDPI vanilla baseline |
ndpi_adversarial | pure NDPI adversarial model |
internal_vanilla | internal data vanilla baseline |
macenko | pure NDPI normalized baseline |
zero_shot | Prov-GigaPath zero-shot model |
resnet | ResNet50 encoder zero-shot model |
plip | PLIP encoder zero-shot model |
few_shot | 36-case few-shot model |
Checkpoint files contain model weights only. No patient data, slide images, feature tensors, predictions, or clinical records are included. For research use only; not intended for clinical diagnosis.
- Created
- Sep 2, 2026
- Updated
- Sep 8, 2026