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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Forest-Fire-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Forest-Fire-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-190/optimizer.pt from prithivMLmods/Forest-Fire-Detection: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Forest-Fire-Detection/resolve/main/checkpoint-190/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Forest-Fire-Detection/checkpoint-190/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Forest-Fire-Detection/resolve/main/checkpoint-190/optimizer.pt
687 MB
- Xet hash:
- f944ce49e1fd0620672962fc3949cbc297fbd3257968493cbe5dc63b9cbfa05f
- Size of remote file:
- 687 MB
- SHA256:
- 5ba38e7ff83148c4c8cef8d2342f8b1fd3c9b8af9021fdf81660e5d15cf3b615
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