Instructions to use Samlit/rare-puppers3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samlit/rare-puppers3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Samlit/rare-puppers3") 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("Samlit/rare-puppers3") model = AutoModelForImageClassification.from_pretrained("Samlit/rare-puppers3") - Notebooks
- Google Colab
- Kaggle
rare-puppers3
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
Marcelle Lender doing the Bolero in Chilperic
Moulin Rouge_ La Goulue - Henri Toulouse-Lautrec
Salon at the Rue des Moulins - Henri de Toulouse-Lautrec
aristide bruant - Henri de Toulouse-Lautrec
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Evaluation results
- Accuracyself-reported1.000



