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
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Classification model used to classify real images and AI generated images.\
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The model used is swin-tiny-patch4-window7-224 finetued on aiornot dataset.\
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To use the model
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import torch
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from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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Classification model used to classify real images and AI generated images.\
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The model used is swin-tiny-patch4-window7-224 finetued on aiornot dataset.\
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To use the model
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```py
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import torch
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from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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