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Misupatel
/
vit-imagenette

Image Classification
Transformers
Safetensors
PyTorch
vit
imagenette
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Misupatel/vit-imagenette with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Misupatel/vit-imagenette")
    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("Misupatel/vit-imagenette")
    model = AutoModelForImageClassification.from_pretrained("Misupatel/vit-imagenette")
  • Notebooks
  • Google Colab
  • Kaggle
vit-imagenette
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Misupatel's picture
Misupatel
Add training metadata sidecar
31d07c3 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.86 kB
    Add model card about 1 month ago
  • config.json
    1.04 kB
    Add fine-tuned ViT weights (99.52% val acc) about 1 month ago
  • model.safetensors
    343 MB
    xet
    Add fine-tuned ViT weights (99.52% val acc) about 1 month ago
  • preprocessor_config.json
    325 Bytes
    Add ViTImageProcessor config about 1 month ago
  • vit_imagenette_best_meta.json
    664 Bytes
    Add training metadata sidecar about 1 month ago