Instructions to use Nahrawy/AIorNot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nahrawy/AIorNot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Nahrawy/AIorNot") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Nahrawy/AIorNot") model = AutoModelForImageClassification.from_pretrained("Nahrawy/AIorNot") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5efff17c27da54cf7a6a42d011a8c1e1d0af0e960776f66bc4caf19cf8d6c2d0
- Size of remote file:
- 110 MB
- SHA256:
- 0c8b468cd5d1b1c5e2d169ef8944c91cf40b3ab32e9a09bcc8d1aaf77aeacab9
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