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dewanakl
/
batik-vit

Image Classification
Transformers
Safetensors
Indonesian
English
beit
batik
indonesia
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use dewanakl/batik-vit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dewanakl/batik-vit")
    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("dewanakl/batik-vit")
    model = AutoModelForImageClassification.from_pretrained("dewanakl/batik-vit")
  • Notebooks
  • Google Colab
  • Kaggle
batik-vit
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
dewanakl's picture
dewanakl
Update README.md
cbb53b7 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    432 Bytes
    Update README.md 4 months ago
  • config.json
    2.17 kB
    Upload BeitForImageClassification 9 months ago
  • model.safetensors
    343 MB
    xet
    Upload BeitForImageClassification 9 months ago