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vms57464
/
Dogz

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use vms57464/Dogz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vms57464/Dogz with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="vms57464/Dogz")
    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("vms57464/Dogz")
    model = AutoModelForImageClassification.from_pretrained("vms57464/Dogz")
  • Notebooks
  • Google Colab
  • Kaggle
Dogz / images
82.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
vms57464's picture
vms57464
commit files to HF hub
6328981 over 3 years ago
  • Golden_Retriever.jpg
    22.4 kB
    xet
    commit files to HF hub over 3 years ago
  • Jack_Russell_Terrier.jpg
    33.5 kB
    xet
    commit files to HF hub over 3 years ago
  • Pitbull_Terrier.jpg
    26.9 kB
    xet
    commit files to HF hub over 3 years ago