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prithivMLmods
/
Forest-Fire-Detection

Image Classification
Transformers
Safetensors
English
siglip
Forest-Fire-Detection
SigLIP2
climate
Smoke
Normal
Fire
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/Forest-Fire-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithivMLmods/Forest-Fire-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="prithivMLmods/Forest-Fire-Detection")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageClassification
    
    processor = AutoProcessor.from_pretrained("prithivMLmods/Forest-Fire-Detection")
    model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Forest-Fire-Detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Forest-Fire-Detection
1.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
prithivMLmods's picture
prithivMLmods
Update README.md
01c737a verified about 1 year ago
  • checkpoint-190
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.43 kB
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  • config.json
    1.15 kB
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  • model.safetensors
    372 MB
    xet
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  • preprocessor_config.json
    394 Bytes
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  • training_args.bin
    5.3 kB
    xet
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