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:
- 0ae6c6e984d378512c026c43b820cd83d6043365abe89934c1e5d0857168f304
- Size of remote file:
- 1.06 kB
- SHA256:
- 679eb184daaf5577d17ba73b95cc09490dceb635d1c2c8d2c9596fd477a4efd4
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