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nguyenkhoa
/
dinov2_Liveness_detection_v2.2.3

Image Classification
Transformers
TensorBoard
Safetensors
dinov2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nguyenkhoa/dinov2_Liveness_detection_v2.2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nguyenkhoa/dinov2_Liveness_detection_v2.2.3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nguyenkhoa/dinov2_Liveness_detection_v2.2.3")
    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("nguyenkhoa/dinov2_Liveness_detection_v2.2.3")
    model = AutoModelForImageClassification.from_pretrained("nguyenkhoa/dinov2_Liveness_detection_v2.2.3")
  • Notebooks
  • Google Colab
  • Kaggle
dinov2_Liveness_detection_v2.2.3
88.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
nguyenkhoa's picture
nguyenkhoa
Training in progress, step 448
051aaec verified over 1 year ago
  • runs
    Training in progress, step 448 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • config.json
    1.12 kB
    Training in progress, step 64 over 1 year ago
  • model.safetensors
    88.3 MB
    xet
    Training in progress, step 448 over 1 year ago
  • preprocessor_config.json
    436 Bytes
    Training in progress, step 64 over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 64 over 1 year ago