Instructions to use prithivMLmods/SigLIP2-ImageShield-2n-large-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/SigLIP2-ImageShield-2n-large-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/SigLIP2-ImageShield-2n-large-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-2n-large-256") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/SigLIP2-ImageShield-2n-large-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e221187cda182ebbfbbb63d21fabcaea3006eb50ff73502113fde5664ee697ce
- Size of remote file:
- 111 kB
- SHA256:
- 75e6bbbb72bf61baea525665fb5520f226feb52e0596527dee45fdf431d743b6
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