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tadeous
/
vit-model-beimer

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 tadeous/vit-model-beimer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tadeous/vit-model-beimer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tadeous/vit-model-beimer")
    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("tadeous/vit-model-beimer")
    model = AutoModelForImageClassification.from_pretrained("tadeous/vit-model-beimer")
  • Notebooks
  • Google Colab
  • Kaggle
vit-model-beimer / runs
39 kB
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  • 1 contributor
History: 2 commits
tadeous's picture
tadeous
Model save
aee4877 over 3 years ago
  • Jan28_22-04-37_ad3f633b9781
    Training in progress, step 500 over 3 years ago
  • Jan28_22-13-23_ad3f633b9781
    Training in progress, step 500 over 3 years ago
  • Jan28_22-25-10_ad3f633b9781
    Training in progress, step 500 over 3 years ago
  • Jan28_22-29-28_ad3f633b9781
    Model save over 3 years ago