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gjseh115
/
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 gjseh115/vit_food5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gjseh115/vit_food5000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="gjseh115/vit_food5000")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("gjseh115/vit_food5000")
    model = AutoModelForImageClassification.from_pretrained("gjseh115/vit_food5000", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit_food5000 / runs
66.4 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
gjseh115's picture
gjseh115
Training in progress, epoch 3
376f108 verified over 1 year ago
  • Jun26_02-39-11_dbbd4d68461b
    Training in progress, epoch 1 over 1 year ago
  • Jun26_03-02-11_dbbd4d68461b
    Training in progress, epoch 1 over 1 year ago
  • Jun26_03-04-31_dbbd4d68461b
    Training in progress, epoch 1 over 1 year ago
  • Jun26_03-05-07_dbbd4d68461b
    Training in progress, epoch 3 over 1 year ago