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nityan
/
vit-demo

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

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

  • Libraries
  • Transformers

    How to use nityan/vit-demo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nityan/vit-demo")
    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("nityan/vit-demo")
    model = AutoModelForImageClassification.from_pretrained("nityan/vit-demo")
  • Notebooks
  • Google Colab
  • Kaggle
vit-demo
673 kB
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  • 1 contributor
History: 2 commits
nityan's picture
nityan
Upload ViTForImageClassification
896ff62 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    508 Bytes
    Upload ViTForImageClassification over 2 years ago
  • model.safetensors
    671 kB
    xet
    Upload ViTForImageClassification over 2 years ago