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microwaveablemax
/
train_checkpoints2

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

Instructions to use microwaveablemax/train_checkpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microwaveablemax/train_checkpoints2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="microwaveablemax/train_checkpoints2")
    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("microwaveablemax/train_checkpoints2")
    model = AutoModelForImageClassification.from_pretrained("microwaveablemax/train_checkpoints2")
  • Notebooks
  • Google Colab
  • Kaggle
train_checkpoints2 / runs
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  • 1 contributor
History: 1 commit
microwaveablemax's picture
microwaveablemax
End of training
3a751f6 verified about 1 year ago
  • Apr10_19-28-53_max-desktop
    End of training about 1 year ago
  • Apr10_19-46-48_max-desktop
    End of training about 1 year ago
  • Apr10_19-47-17_max-desktop
    End of training about 1 year ago