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GGital
/
vit-SUPER02

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

Instructions to use GGital/vit-SUPER02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GGital/vit-SUPER02 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="GGital/vit-SUPER02")
    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("GGital/vit-SUPER02")
    model = AutoModelForImageClassification.from_pretrained("GGital/vit-SUPER02")
  • Notebooks
  • Google Colab
  • Kaggle
vit-SUPER02 / runs
137 kB
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  • 1 contributor
History: 59 commits
GGital's picture
GGital
Model save
835d007 verified over 2 years ago
  • Feb02_18-14-56_b70c9f2dbb4e
    Model save over 2 years ago
  • Feb03_03-26-44_c46e18eeb47a
    Training in progress, step 100 over 2 years ago
  • Feb03_03-29-55_c46e18eeb47a
    Training in progress, step 100 over 2 years ago
  • Feb03_03-32-21_c46e18eeb47a
    Model save over 2 years ago