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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b631f22676374f4bcf440617a4e9b46fc1c327ed91d5ac7181add1fb06d1f1d
- Size of remote file:
- 687 MB
- SHA256:
- c06ce446282d358b99a6f011b7658709c825e5340225f99799a57e0616b3e210
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