Instructions to use prithivMLmods/AIorNot-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/AIorNot-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/AIorNot-SigLIP2") 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/AIorNot-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/AIorNot-SigLIP2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4c69f90d0c52bf15853aae4e089f9f075916cca2ad45b1604c58542f4372b7c
- Size of remote file:
- 5.3 kB
- SHA256:
- 206d195b28a5a4e1f61804a2eec06b109a4be9fa8d841f4d552fca404cebe15f
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