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ogimgio
/
vit-base-highways-2

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

Instructions to use ogimgio/vit-base-highways-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ogimgio/vit-base-highways-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ogimgio/vit-base-highways-2")
    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("ogimgio/vit-base-highways-2")
    model = AutoModelForImageClassification.from_pretrained("ogimgio/vit-base-highways-2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-highways-2 / runs /Mar23_07-55-28_4f145e478cc3
11 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
ogimgio's picture
ogimgio
Training in progress, step 100
9b4290c over 3 years ago
  • 1679558131.4975696
    End of training over 3 years ago
  • events.out.tfevents.1679558131.4f145e478cc3.6994.2
    4.89 kB
    xet
    End of training over 3 years ago
  • events.out.tfevents.1679558173.4f145e478cc3.6994.4
    357 Bytes
    xet
    Training in progress, step 100 over 3 years ago