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ufdatastudio
/
vit-orientation

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

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

  • Libraries
  • Transformers

    How to use ufdatastudio/vit-orientation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ufdatastudio/vit-orientation")
    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("ufdatastudio/vit-orientation")
    model = AutoModelForImageClassification.from_pretrained("ufdatastudio/vit-orientation")
  • Notebooks
  • Google Colab
  • Kaggle
vit-orientation
343 MB
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  • 1 contributor
History: 9 commits
justin-witter's picture
justin-witter
Upload processor
d8035a6 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload ViTForImageClassification about 2 years ago
  • config.json
    761 Bytes
    Upload ViTForImageClassification about 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification about 2 years ago
  • preprocessor_config.json
    325 Bytes
    Upload processor about 2 years ago