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distill-lab
/
distill-n4_00-01_combined_cls_v1b2

Image Classification
Transformers
Safetensors
dinov2_with_registers
Model card Files Files and versions
xet
Community

Instructions to use distill-lab/distill-n4_00-01_combined_cls_v1b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use distill-lab/distill-n4_00-01_combined_cls_v1b2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="distill-lab/distill-n4_00-01_combined_cls_v1b2")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageClassification
    
    tokenizer = AutoTokenizer.from_pretrained("distill-lab/distill-n4_00-01_combined_cls_v1b2")
    model = AutoModelForImageClassification.from_pretrained("distill-lab/distill-n4_00-01_combined_cls_v1b2")
  • Notebooks
  • Google Colab
  • Kaggle
distill-n4_00-01_combined_cls_v1b2
1.22 GB
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  • 1 contributor
History: 9 commits
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trojblue
Update README.md
5922c73 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.09 kB
    Update README.md over 1 year ago
  • config.json
    1.56 kB
    Upload Dinov2WithRegistersForImageClassification over 1 year ago
  • model.safetensors
    1.22 GB
    xet
    Upload Dinov2WithRegistersForImageClassification over 1 year ago
  • preprocessor_config.json
    436 Bytes
    Upload processor over 1 year ago