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Madronus
/
MultiLabel_V3

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
7

Instructions to use Madronus/MultiLabel_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Madronus/MultiLabel_V3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Madronus/MultiLabel_V3")
    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("Madronus/MultiLabel_V3")
    model = AutoModelForImageClassification.from_pretrained("Madronus/MultiLabel_V3")
  • Notebooks
  • Google Colab
  • Kaggle
MultiLabel_V3 / runs
281 kB
Ctrl+K
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  • 1 contributor
History: 131 commits
Aron Boettcher
Model save
03fb9b5 about 3 years ago
  • Mar14_22-02-13_62909ffd08dc
    Training in progress, step 100 about 3 years ago
  • Mar15_04-36-20_62909ffd08dc
    Training in progress, step 100 about 3 years ago
  • Mar15_05-31-02_62909ffd08dc
    Model save about 3 years ago