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manudeva
/
intervUone

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use manudeva/intervUone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="manudeva/intervUone")
    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("manudeva/intervUone")
    model = AutoModelForImageClassification.from_pretrained("manudeva/intervUone")
  • Notebooks
  • Google Colab
  • Kaggle
intervUone / runs
1.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
manudeva's picture
manudeva
commit files to HF hub
4546885 over 2 years ago
  • events.out.tfevents.1694893944.b0223dff1c3d.439.3
    1.3 kB
    xet
    commit files to HF hub over 2 years ago