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1aurent
/
phikon-distil-vit-tiny-patch16-224-kather2016

Image Classification
Transformers
TensorBoard
Safetensors
vit
feature-extraction
biology
cancer
owkin
histology
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use 1aurent/phikon-distil-vit-tiny-patch16-224-kather2016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 1aurent/phikon-distil-vit-tiny-patch16-224-kather2016 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="1aurent/phikon-distil-vit-tiny-patch16-224-kather2016")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("1aurent/phikon-distil-vit-tiny-patch16-224-kather2016")
    model = AutoModelForImageClassification.from_pretrained("1aurent/phikon-distil-vit-tiny-patch16-224-kather2016", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phikon-distil-vit-tiny-patch16-224-kather2016 / logs
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  • 1 contributor
History: 1 commit
1aurent's picture
1aurent
Upload folder using huggingface_hub
cc898ca almost 3 years ago
  • events.out.tfevents.1699526467.be6ecbaa8eea.615.21
    31.4 kB
    xet
    Upload folder using huggingface_hub almost 3 years ago
  • events.out.tfevents.1699527652.be6ecbaa8eea.615.22
    411 Bytes
    xet
    Upload folder using huggingface_hub almost 3 years ago