Image Feature Extraction
Transformers
PyTorch
xmag
feature-extraction
pathology
histopathology
foundation-model
distillation
dinov2
custom_code
Instructions to use AI4PATH/XMAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4PATH/XMAG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="AI4PATH/XMAG", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AI4PATH/XMAG", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cd651c7938b47cb5b163e532aee314418aefba39d0609f432440daccec8d753
- Size of remote file:
- 346 MB
- SHA256:
- 83aad56ce30deaf287b40e484269675df585885ebb17af1e58fa986426c3e3c4
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