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crncskn
/
radiovers17BUSft

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

Instructions to use crncskn/radiovers17BUSft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use crncskn/radiovers17BUSft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="crncskn/radiovers17BUSft")
    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("crncskn/radiovers17BUSft")
    model = AutoModelForImageClassification.from_pretrained("crncskn/radiovers17BUSft")
  • Notebooks
  • Google Colab
  • Kaggle
radiovers17BUSft
343 MB
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  • 1 contributor
History: 3 commits
crncskn's picture
crncskn
Upload feature extractor
0e5d9c7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload ViTForImageClassification about 2 years ago
  • config.json
    737 Bytes
    Upload ViTForImageClassification about 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification about 2 years ago
  • preprocessor_config.json
    580 Bytes
    Upload feature extractor about 2 years ago