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/model.safetensors from prithivMLmods/Forest-Fire-Detection: direct link, hf CLI and curl.
- Browser
- Download file 372 MB
-
https://huggingface.co/prithivMLmods/Forest-Fire-Detection/resolve/main/checkpoint-190/model.safetensors
- Command line
-
hf download hf://prithivMLmods/Forest-Fire-Detection/checkpoint-190/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/prithivMLmods/Forest-Fire-Detection/resolve/main/checkpoint-190/model.safetensors
372 MB
- Xet hash:
- 3fa8eeb048f00307b8a0aeef993b9d1ee3134dccdc9b2ebfa3812713af487c48
- Size of remote file:
- 372 MB
- SHA256:
- f961b8e17cde103392a0c9af75d35c5514b35a010c9fdb0054f01000d5ab45ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.