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Dhika
/
leaves

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

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

  • Libraries
  • Transformers

    How to use Dhika/leaves with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Dhika/leaves")
    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("Dhika/leaves")
    model = AutoModelForImageClassification.from_pretrained("Dhika/leaves")
  • Notebooks
  • Google Colab
  • Kaggle
leaves
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 45 commits
Dhika's picture
Dhika
update model card README.md
3ee645c almost 3 years ago
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