Instructions to use arnaucas/wildfire-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnaucas/wildfire-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="arnaucas/wildfire-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("arnaucas/wildfire-classifier") model = AutoModelForImageClassification.from_pretrained("arnaucas/wildfire-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae47651fd10b2db6a551c46d2444828146bfc2090abf3502d06037502d66dbd2
- Size of remote file:
- 4.03 kB
- SHA256:
- 11845d4df1cc4bd7ca99e8d1a206179601d32b1523415de2370a26a2a0b29c66
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