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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("owkin/phikon") model = AutoModel.from_pretrained("owkin/phikon", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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### Compute Infrastructure
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All the models we built were trained on the French Jean Zay cluster
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### Hardware
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### Compute Infrastructure
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All the models we built were trained on the French Jean Zay cluster.
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### Hardware
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