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QuantaSparkLabs
/
FaceVerifyAI

Image-to-Image
Transformers
PyTorch
English
custom
computer-vision
face-verification
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use QuantaSparkLabs/FaceVerifyAI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="QuantaSparkLabs/FaceVerifyAI")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("QuantaSparkLabs/FaceVerifyAI", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FaceVerifyAI
17.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
QuantaSparkLabs's picture
QuantaSparkLabs
Create config.json
2bb1037 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    10.4 kB
    Update README.md 3 months ago
  • best_advanced_face_verify_ai_model.pth

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage"

    What is a pickle import?

    17.7 MB
    xet
    Upload best_advanced_face_verify_ai_model.pth with huggingface_hub 3 months ago
  • config.json
    64 Bytes
    Create config.json about 2 months ago