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ricardoSLabs
/
CIDAUTv2

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
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Metrics Training metrics Community

Instructions to use ricardoSLabs/CIDAUTv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ricardoSLabs/CIDAUTv2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ricardoSLabs/CIDAUTv2")
    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("ricardoSLabs/CIDAUTv2")
    model = AutoModelForImageClassification.from_pretrained("ricardoSLabs/CIDAUTv2")
  • Notebooks
  • Google Colab
  • Kaggle
CIDAUTv2 / runs
34.8 kB
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  • 1 contributor
History: 32 commits
ricardoSLabs's picture
ricardoSLabs
End of training
f865dca verified over 1 year ago
  • Nov07_07-58-05_c5cd400f30f2
    End of training over 1 year ago
  • Nov07_16-46-16_e82af54a1144
    End of training over 1 year ago
  • Nov07_16-52-38_62e4925951f1
    End of training over 1 year ago
  • Nov07_17-00-10_62065dcb3e0c
    End of training over 1 year ago