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:
- 7917b5741181d7d30b943fb2b94e76675db2f7627c88a47237538f3d82482839
- Size of remote file:
- 5.24 kB
- SHA256:
- 33ee1174cff6fcd835cccb377edb2681c7a113d9037c8107a727700d59baf5b6
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