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aimagelab
/
CoDE

Image Feature Extraction
Transformers
Joblib
Safetensors
vit
deepfake
Model card Files Files and versions
xet
Community

Instructions to use aimagelab/CoDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aimagelab/CoDE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="aimagelab/CoDE")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("aimagelab/CoDE")
    model = AutoModel.from_pretrained("aimagelab/CoDE")
  • Notebooks
  • Google Colab
  • Kaggle
CoDE / sklearn
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  • 2 contributors
History: 1 commit
fede97's picture
fede97
Upload 3 files
e31894a verified almost 2 years ago
  • knn_tot_classifier_epoch-32.sav
    37.2 MB
    xet
    Upload 3 files almost 2 years ago
  • linear_tot_classifier_epoch-32.sav
    2.4 kB
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  • ocsvm_kernel_poly_gamma_auto_nu_0_1_crop.joblib
    2.32 MB
    xet
    Upload 3 files almost 2 years ago