Instructions to use prithivMLmods/SigLIP2-ImageShield-90M-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/SigLIP2-ImageShield-90M-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/SigLIP2-ImageShield-90M-256") 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/SigLIP2-ImageShield-90M-256") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/SigLIP2-ImageShield-90M-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81b5e7f54608ff5ef2a587769e7ed5037f0f520e11706ae57dacd5224df0ed3
- Size of remote file:
- 5.2 kB
- SHA256:
- 99bead2454b3c2aaec40785a83589f627961fa274962dd354770828cb5a528b1
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