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platzi
/
carvax_VITbeans_model

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

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

  • Libraries
  • Transformers

    How to use platzi/carvax_VITbeans_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="platzi/carvax_VITbeans_model")
    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("platzi/carvax_VITbeans_model")
    model = AutoModelForImageClassification.from_pretrained("platzi/carvax_VITbeans_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
carvax_VITbeans_model / runs
21.3 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
alejo0789's picture
alejo0789
Model save
1e6781d over 3 years ago
  • May04_23-48-45_4b727b2d0098
    Training in progress, step 500 over 3 years ago
  • May05_01-07-52_24bd59f7b2f6
    Model save over 3 years ago