Instructions to use daveni/upside_down_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daveni/upside_down_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="daveni/upside_down_classifier") 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("daveni/upside_down_classifier") model = AutoModelForImageClassification.from_pretrained("daveni/upside_down_classifier") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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datasets:
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- cifar100
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widget:
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- src: https://huggingface.co/daveni/upside_down_classifier/blob/main/meme_upside_down.jpg
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example_title: Upside down example
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- src: https://huggingface.co/daveni/upside_down_classifier/blob/main/meme.jpg
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example_title: Original example
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---
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# Upside Down Classifier
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