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:
- 83e91754f0cfe9c33ab988b5805032a52c76f6ef91fd9d3512d93518ce68b46e
- Size of remote file:
- 372 MB
- SHA256:
- aa8028d94b788509b18a5c60b04fe826f76be8583df7f70f9bd236ca2c2bcf7d
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