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rshrott
/
colab20240326ryan

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

Instructions to use rshrott/colab20240326ryan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rshrott/colab20240326ryan with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="rshrott/colab20240326ryan")
    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("rshrott/colab20240326ryan")
    model = AutoModelForImageClassification.from_pretrained("rshrott/colab20240326ryan")
  • Notebooks
  • Google Colab
  • Kaggle
colab20240326ryan
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  • 1 contributor
History: 40 commits
rshrott's picture
rshrott
Model save
7fac535 verified about 2 years ago
  • runs
    Model save about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.07 kB
    Model save about 2 years ago
  • all_results.json
    391 Bytes
    🍻 cheers about 2 years ago
  • config.json
    891 Bytes
    Training in progress, step 100 about 2 years ago
  • eval_results.json
    204 Bytes
    🍻 cheers about 2 years ago
  • model.safetensors
    343 MB
    xet
    Model save about 2 years ago
  • preprocessor_config.json
    580 Bytes
    Training in progress, step 100 about 2 years ago
  • train_results.json
    208 Bytes
    🍻 cheers about 2 years ago
  • trainer_state.json
    46.8 kB
    🍻 cheers about 2 years ago
  • training_args.bin
    4.92 kB
    xet
    Training in progress, step 100 about 2 years ago