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amyeroberts
/
vit-base-beans

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

    How to use amyeroberts/vit-base-beans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="amyeroberts/vit-base-beans")
    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("amyeroberts/vit-base-beans")
    model = AutoModelForImageClassification.from_pretrained("amyeroberts/vit-base-beans", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-beans / runs
43.8 kB
Ctrl+K
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  • 2 contributors
History: 10 commits
amyeroberts's picture
amyeroberts
End of training
4805391 verified almost 2 years ago
  • Jan30_16-00-50_Amys-MacBook-Pro-2.local
    End of training over 3 years ago
  • Sep30_20-11-09_Amys-MBP-2.communityfibre.co.uk
    End of training almost 2 years ago