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sbottazzi
/
6-classifier-finetuned-padchest

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

Instructions to use sbottazzi/6-classifier-finetuned-padchest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sbottazzi/6-classifier-finetuned-padchest with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="sbottazzi/6-classifier-finetuned-padchest", device_map="auto")
    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("sbottazzi/6-classifier-finetuned-padchest")
    model = AutoModelForImageClassification.from_pretrained("sbottazzi/6-classifier-finetuned-padchest", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
6-classifier-finetuned-padchest
Ctrl+K
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  • 2 contributors
History: 52 commits
Sabrina Bottazzi
update model card README.md
eaa4fd8 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 2 years ago
  • README.md
    4.71 kB
    update model card README.md over 2 years ago
  • config.json
    1.01 kB
    Training in progress, epoch 1 over 2 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 1 over 2 years ago
  • pytorch_model.bin
    343 MB
    xet
    Model save over 2 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, epoch 1 over 2 years ago