Instructions to use prithivMLmods/Fire-Detection-Engine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fire-Detection-Engine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fire-Detection-Engine") 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("prithivMLmods/Fire-Detection-Engine") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fire-Detection-Engine") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2d5c315dee55cc2b86f6518b0677c464eaaacb25df2d66a7457617d2cc04fd
- Size of remote file:
- 343 MB
- SHA256:
- 382c17728285f08e4ec57a3ff2c22269f651656edffcdba66786d5143b94cfc3
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