Instructions to use Hijazzi/rare-puppers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hijazzi/rare-puppers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hijazzi/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("Hijazzi/rare-puppers") model = AutoModelForImageClassification.from_pretrained("Hijazzi/rare-puppers") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ed72a99f1da830fbc28aa30e8f25a55a38838b3d78539d3904d49034dd70daf8
- Size of remote file:
- 26.1 kB
- SHA256:
- 2acc3d2e4fb4d3c671370f0dce6d213bc4a5337440d21dd36b01a428a9fdf249
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