Image Classification
Transformers
Safetensors
English
siglip
SigLIP2
Scene-Detection
buildings
forest
glacier
mountain
sea
street
Instructions to use prithivMLmods/open-scene-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/open-scene-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/open-scene-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/open-scene-detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/open-scene-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd65e1a4ca1a4c0030f8e091487e65ccf9940f3a748c010c7b9393de067279e
- Size of remote file:
- 14.2 kB
- SHA256:
- 8ffa69372ffc1fb5e762e6132d15345ab1c8154c72a0876f1d843d16491e212f
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