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:
- b6300c20d6240f359c61cf85ae4a94984b52abb6a97ed77f9088d5358320ee74
- Size of remote file:
- 344 MB
- SHA256:
- 16bd53b8aabf36997af6b55b7587d8a1b92a19ae3f2b8194b16882ae56d3a023
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