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voloshka3
/
beans-deit-tiny-lab

Image Classification
Transformers
Safetensors
PyTorch
vit
Model card Files Files and versions
xet
Community

Instructions to use voloshka3/beans-deit-tiny-lab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voloshka3/beans-deit-tiny-lab with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="voloshka3/beans-deit-tiny-lab")
    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("voloshka3/beans-deit-tiny-lab")
    model = AutoModelForImageClassification.from_pretrained("voloshka3/beans-deit-tiny-lab", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
beans-deit-tiny-lab
22.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
voloshka3's picture
voloshka3
Upload README.md with huggingface_hub
12a1751 verified 28 days ago
  • .gitattributes
    1.52 kB
    initial commit 28 days ago
  • README.md
    662 Bytes
    Upload README.md with huggingface_hub 28 days ago
  • config.json
    804 Bytes
    Upload ViTForImageClassification 28 days ago
  • model.safetensors
    22.1 MB
    xet
    Upload ViTForImageClassification 28 days ago
  • preprocessor_config.json
    325 Bytes
    Upload processor 28 days ago