Instructions to use umm-maybe/AI-image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umm-maybe/AI-image-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="umm-maybe/AI-image-detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("umm-maybe/AI-image-detector", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 633fc47975b5365dc5412b9385e93a450c190a030fe883892c465e376a4de995
- Size of remote file:
- 348 MB
- SHA256:
- f4c14ed23eb1d65b1c6ca7b163f8f91bebcf3a4d8c275296c850c9f1bbd01daf
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