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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 073a0088ca06eb3381472eef078a9eda0f020da400ea1197ff22983a23e1c6c8
- Size of remote file:
- 1.06 kB
- SHA256:
- f583943f9826b26cabb09f2981f523d0b21e37f5df49172661800c73d9aaa7f9
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