Image Classification
Transformers
Safetensors
English
siglip
SigLIP2
Flood-Detection
Disaster-Detection
climate
Instructions to use prithivMLmods/Flood-Image-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Flood-Image-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Flood-Image-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/Flood-Image-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Flood-Image-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5663f2b55a9763439d566ecfd065d3e01e0ad7f9472c5740946ac5c6a3261d40
- Size of remote file:
- 5.3 kB
- SHA256:
- 5034bb198a596b9e9577fda788bc6b25980060d1821686cc458552930e32772d
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