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:
- d4a3d56bb3b35bbeeaa7eac66226afcef09c8052739e2cad64df8e6ba1b768e1
- Size of remote file:
- 19 kB
- SHA256:
- 1897abe53bc60c1682df62097283c4bf94706b35ce2812fd39a6be664b5eb4cd
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