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amaye15
/
ViT-Standford-Dogs

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use amaye15/ViT-Standford-Dogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amaye15/ViT-Standford-Dogs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="amaye15/ViT-Standford-Dogs")
    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("amaye15/ViT-Standford-Dogs")
    model = AutoModelForImageClassification.from_pretrained("amaye15/ViT-Standford-Dogs")
  • Notebooks
  • Google Colab
  • Kaggle
ViT-Standford-Dogs
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  • 1 contributor
History: 10 commits
amaye15's picture
amaye15
Update README.md
4ddba5e verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.56 kB
    Update README.md over 2 years ago
  • config.json
    6.92 kB
    Upload ViTForImageClassification over 2 years ago
  • model.safetensors
    344 MB
    xet
    Upload ViTForImageClassification over 2 years ago
  • preprocessor_config.json
    327 Bytes
    Upload feature extractor over 2 years ago