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hudaakram
/
FaceGuard-20ID-ViT

Image Classification
Transformers
Safetensors
vit
vision-transformer
celeba
research
fine-tuning
Model card Files Files and versions
xet
Community

Instructions to use hudaakram/FaceGuard-20ID-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hudaakram/FaceGuard-20ID-ViT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hudaakram/FaceGuard-20ID-ViT")
    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("hudaakram/FaceGuard-20ID-ViT")
    model = AutoModelForImageClassification.from_pretrained("hudaakram/FaceGuard-20ID-ViT")
  • Notebooks
  • Google Colab
  • Kaggle
FaceGuard-20ID-ViT
344 MB
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  • 1 contributor
History: 12 commits
hudaakram's picture
hudaakram
Update README.md
4c4e5e2 verified 8 months ago
  • .gitattributes
    1.61 kB
    Upload roc.png with huggingface_hub 8 months ago
  • README.md
    5.21 kB
    Update README.md 8 months ago
  • cm.png
    120 kB
    xet
    Upload cm.png with huggingface_hub 8 months ago
  • config.json
    1.21 kB
    Upload ViTForImageClassification 8 months ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification 8 months ago
  • preprocessor_config.json
    567 Bytes
    Upload processor 8 months ago
  • roc.png
    143 kB
    xet
    Upload roc.png with huggingface_hub 8 months ago