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johnnydevriese
/
vit-airplanes

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use johnnydevriese/vit-airplanes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use johnnydevriese/vit-airplanes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="johnnydevriese/vit-airplanes")
    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("johnnydevriese/vit-airplanes")
    model = AutoModelForImageClassification.from_pretrained("johnnydevriese/vit-airplanes")
  • Notebooks
  • Google Colab
  • Kaggle
vit-airplanes / runs
11.7 kB
Ctrl+K
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  • 2 contributors
History: 3 commits
johnnydevriese's picture
johnnydevriese
airplanes
7208ffe about 4 years ago
  • Apr08_16-44-55_e98349974501
    airplanes about 4 years ago