Instructions to use julien-c/hotdog-not-hotdog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/hotdog-not-hotdog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="julien-c/hotdog-not-hotdog") 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("julien-c/hotdog-not-hotdog") model = AutoModelForImageClassification.from_pretrained("julien-c/hotdog-not-hotdog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hotdog-not-hotdog
Autogenerated by HuggingPicsπ€πΌοΈ
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
hot dog
not hot dog
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Evaluation results
- Accuracyself-reported0.825

