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EdwarV
/
computer_vision_example

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use EdwarV/computer_vision_example with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="EdwarV/computer_vision_example")
    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("EdwarV/computer_vision_example")
    model = AutoModelForImageClassification.from_pretrained("EdwarV/computer_vision_example", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
computer_vision_example / runs
4.96 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
EdwarV's picture
EdwarV
Model save
7264d45 over 2 years ago
  • Dec21_16-53-31_511650d44b8c
    Model save over 2 years ago