Instructions to use mustapha/flipped-image-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mustapha/flipped-image-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mustapha/flipped-image-ViT") 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("mustapha/flipped-image-ViT") model = AutoModelForImageClassification.from_pretrained("mustapha/flipped-image-ViT") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Hello world,
This model have been created in the context of Fatima Fellowship Programme. The model was trained on the Cifar10 dataset with a googd final accuracy of arround 98%.
This model determines wether an image is flipped of not.
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