Instructions to use Modotte/AIRealNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modotte/AIRealNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Modotte/AIRealNet") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Modotte/AIRealNet") model = AutoModelForImageClassification.from_pretrained("Modotte/AIRealNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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**Model type:** Image Classification (Binary)
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**Task:** AI-generated vs Human image detection
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**Base model:** Microsoft/swinv2-tiny-patch4-window16-256
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**Fine-tuned by:** Parveshiiii/AI-vs-Real dataset split
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**Model type:** Image Classification (Binary)
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**Task:** AI-generated vs Human image detection
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**Base model:** Microsoft/swinv2-tiny-patch4-window16-256
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**Fine-tuned by:** Parveshiiii/AI-vs-Real dataset(Open source split of main dataset)
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