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:
- 0d5c20f7b1b13e0e6845233639b906109943e2df656982d2017fc5d04104269d
- Size of remote file:
- 103 kB
- SHA256:
- fd3d27c159f88aa50460192eeded8d51959e967cffa4321bd7dc8078cfc4d97b
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