Instructions to use manudeva/rare-puppers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manudeva/rare-puppers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="manudeva/rare-puppers") 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("manudeva/rare-puppers") model = AutoModelForImageClassification.from_pretrained("manudeva/rare-puppers") - Notebooks
- Google Colab
- Kaggle
rare-puppers
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
person leaning back in chair
person sitting leaning left
person sitting leaning right
person sitting slouched
person sitting upright facing forward
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Evaluation results
- Accuracyself-reported0.500




