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:
- d2a0cf936141c0c620fe5c259de94d08ead1d0902c2cc6e7be5aa5ee0f01ec4e
- Size of remote file:
- 346 MB
- SHA256:
- e1da3d3a2a03077926d3cb62afd2dd2e30e01ed4b5aa89657b2e26c728647f9c
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