Instructions to use Kaludi/Food-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaludi/Food-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Kaludi/Food-Classification") 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("Kaludi/Food-Classification") model = AutoModelForImageClassification.from_pretrained("Kaludi/Food-Classification") - Notebooks
- Google Colab
- Kaggle
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example_title: Apple Pie
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- src: https://upload.wikimedia.org/wikipedia/commons/d/da/Strawberry_ice_cream_cone_%285076899310%29.jpg
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example_title: Ice Cream
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example_title: Sushi
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emissions: 2.7745203231331614
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example_title: Apple Pie
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example_title: Ice Cream
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- src: https://cdn.britannica.com/52/128652-050-14AD19CA/Maki-zushi.jpg
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example_title: Sushi
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emissions: 2.7745203231331614
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