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Uniteworker
/
vit_food5000

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

Instructions to use Uniteworker/vit_food5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Uniteworker/vit_food5000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Uniteworker/vit_food5000")
    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("Uniteworker/vit_food5000")
    model = AutoModelForImageClassification.from_pretrained("Uniteworker/vit_food5000")
  • Notebooks
  • Google Colab
  • Kaggle
vit_food5000 / runs
76.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Uniteworker's picture
Uniteworker
Training in progress, epoch 3
a993258 verified 11 months ago
  • Jun26_02-17-57_927be7e4bb8f
    Training in progress, epoch 1 11 months ago
  • Jun26_02-34-09_927be7e4bb8f
    Training in progress, epoch 1 11 months ago
  • Jun26_03-06-06_927be7e4bb8f
    Training in progress, epoch 1 11 months ago
  • Jun26_03-07-40_927be7e4bb8f
    Training in progress, epoch 3 11 months ago