Feature Extraction
Transformers
PyTorch
Safetensors
English
vit
image-feature-extraction
biology
medical
cancer
Instructions to use owkin/phikon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owkin/phikon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="owkin/phikon")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("owkin/phikon") model = AutoModel.from_pretrained("owkin/phikon") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebdd97f97ac614afa641c6943db6e95873939554c6834046febef60182cd80e2
- Size of remote file:
- 135 MB
- SHA256:
- 89b847f2c54329e2170955e73bf890b5b2682a17e492085a455766b22cb06705
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