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Mattysmittttt
/
camonet

Image Classification
Transformers
Safetensors
English
dinov2
vision
camouflage
military
osint
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Mattysmittttt/camonet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Mattysmittttt/camonet")
    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("Mattysmittttt/camonet")
    model = AutoModelForImageClassification.from_pretrained("Mattysmittttt/camonet")
  • Notebooks
  • Google Colab
  • Kaggle
camonet
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  • 1 contributor
History: 5 commits
Mattysmittttt's picture
Mattysmittttt
prune training_args.bin (training metadata, not needed for inference)
4dd7fea verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    6.31 kB
    Initial CamoNet release 8 days ago
  • config.json
    2.99 kB
    Initial CamoNet release 8 days ago
  • model.safetensors
    88.4 MB
    xet
    Initial CamoNet release 8 days ago
  • preprocessor_config.json
    436 Bytes
    Initial CamoNet release 8 days ago
  • taxonomy.py
    7.65 kB
    Initial CamoNet release 8 days ago