Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Abdullah6030
/
vitmodel

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

Instructions to use Abdullah6030/vitmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Abdullah6030/vitmodel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Abdullah6030/vitmodel")
    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("Abdullah6030/vitmodel")
    model = AutoModelForImageClassification.from_pretrained("Abdullah6030/vitmodel")
  • Notebooks
  • Google Colab
  • Kaggle
vitmodel / runs
29.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Abdullah6030's picture
Abdullah6030
Training in progress, epoch 2
cf2f37e verified almost 2 years ago
  • Jul23_10-11-24_DESKTOP-LV8E2I7
    Training in progress, epoch 1 almost 2 years ago
  • Jul23_10-20-16_DESKTOP-LV8E2I7
    Training in progress, epoch 2 almost 2 years ago
  • May20_01-33-57_DESKTOP-LV8E2I7
    Training in progress, epoch 1 almost 2 years ago
  • May20_11-54-10_DESKTOP-LV8E2I7
    Training in progress, epoch 1 almost 2 years ago
  • May22_09-54-11_DESKTOP-LV8E2I7
    Training in progress, epoch 1 almost 2 years ago