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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")
  • Notebooks
  • Google Colab
  • Kaggle
carvax_VITbeans_model
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
alejo0789's picture
alejo0789
update model card README.md
68857f1 about 3 years ago
  • runs
    Model save about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 3 years ago
  • README.md
    1.66 kB
    update model card README.md about 3 years ago
  • config.json
    769 Bytes
    Training in progress, step 500 about 3 years ago
  • preprocessor_config.json
    327 Bytes
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    343 MB
    xet
    Training in progress, step 500 about 3 years ago
  • training_args.bin
    3.64 kB
    xet
    Training in progress, step 500 about 3 years ago