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Developer9215
/
vit-base-beans-demo-v5

Image Classification
Transformers
TensorBoard
Safetensors
vit
image=classification
ViT
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Developer9215/vit-base-beans-demo-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Developer9215/vit-base-beans-demo-v5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Developer9215/vit-base-beans-demo-v5")
    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("Developer9215/vit-base-beans-demo-v5")
    model = AutoModelForImageClassification.from_pretrained("Developer9215/vit-base-beans-demo-v5")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-beans-demo-v5 / runs
11.9 kB
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  • 1 contributor
History: 1 commit
Developer9215's picture
Developer9215
hyuns9215
6c1c19a verified 10 months ago
  • Aug01_01-18-02_ecd917246513
    hyuns9215 10 months ago