Instructions to use prithivMLmods/Fire-Risk-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fire-Risk-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fire-Risk-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Fire-Risk-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fire-Risk-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d829e8b2378c2a77aae59621dc61c3ab3ee9f3d47689653993cc9078e04a319
- Size of remote file:
- 372 MB
- SHA256:
- 6281091ff5c0fe9bd7983cc1ce080bd70427dc708f2e46d7ad32a52dc0ee7492
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