Instructions to use dthomas84/refigerator_items with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dthomas84/refigerator_items with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dthomas84/refigerator_items") 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("dthomas84/refigerator_items") model = AutoModelForImageClassification.from_pretrained("dthomas84/refigerator_items") - Notebooks
- Google Colab
- Kaggle
refigerator_items
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
banana
bread
eggs
milk
potato
spinach
tomato
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Evaluation results
- Accuracyself-reported0.175






