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
Adding `safetensors` variant of this model
#2
by afiliot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d01642bfeb683c6b039622eca273e0a8e4208065a4595b63edba178c1c4cfa68
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size 345579424
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