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Davidals
/
fire-image-classifier

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 Davidals/fire-image-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Davidals/fire-image-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Davidals/fire-image-classifier")
    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("Davidals/fire-image-classifier")
    model = AutoModelForImageClassification.from_pretrained("Davidals/fire-image-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
fire-image-classifier / images
155 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Davidals's picture
Davidals
commit files to HF hub
300da8a over 3 years ago
  • fire_images.png
    125 kB
    xet
    commit files to HF hub over 3 years ago
  • non_fire_images.png
    29.7 kB
    xet
    commit files to HF hub over 3 years ago