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cvmil
/
dinov2-base_augmented-v2_tl

Image Classification
Transformers
TensorBoard
Safetensors
dinov2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use cvmil/dinov2-base_augmented-v2_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cvmil/dinov2-base_augmented-v2_tl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="cvmil/dinov2-base_augmented-v2_tl")
    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("cvmil/dinov2-base_augmented-v2_tl")
    model = AutoModelForImageClassification.from_pretrained("cvmil/dinov2-base_augmented-v2_tl")
  • Notebooks
  • Google Colab
  • Kaggle
dinov2-base_augmented-v2_tl / logs
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  • 1 contributor
History: 21 commits
SodaXII's picture
SodaXII
Model save
a8f429e verified over 1 year ago
  • events.out.tfevents.1740250845.b8c2dcb2b793.229.0
    17 kB
    xet
    Model save over 1 year ago