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metadome
/
face_shape_classification

Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use metadome/face_shape_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="metadome/face_shape_classification")
    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("metadome/face_shape_classification")
    model = AutoModelForImageClassification.from_pretrained("metadome/face_shape_classification")
  • Notebooks
  • Google Colab
  • Kaggle
face_shape_classification / images
312 kB
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  • 1 contributor
History: 1 commit
metadome's picture
metadome
commit files to HF hub
f4d28b0 over 2 years ago
  • Heart.jpg
    9.38 kB
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    commit files to HF hub over 2 years ago
  • Oblong.jpg
    43.2 kB
    xet
    commit files to HF hub over 2 years ago
  • Oval.jpg
    227 kB
    xet
    commit files to HF hub over 2 years ago
  • Round.jpg
    10.1 kB
    xet
    commit files to HF hub over 2 years ago
  • Square.jpg
    22.7 kB
    xet
    commit files to HF hub over 2 years ago