Image Classification
Transformers
Safetensors
English
siglip
Forest-Fire-Detection
SigLIP2
climate
Smoke
Normal
Fire
Instructions to use prithivMLmods/Forest-Fire-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Forest-Fire-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Forest-Fire-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/Forest-Fire-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Forest-Fire-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62de232d75e7f9ab0ae797927f8de8a42746b5faa164d80a373664b5a52a6b8b
- Size of remote file:
- 5.3 kB
- SHA256:
- 29064adbe2b22f7eaf6e0a92db12e831b1d130e3f498216cf002f824bd28bba8
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