Instructions to use eliwill/rare-puppers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliwill/rare-puppers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="eliwill/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("eliwill/rare-puppers") model = AutoModelForImageClassification.from_pretrained("eliwill/rare-puppers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 825cacd3abcfd7b9e3f6e3aa53caa115010d12f51c09d032ccfaed27a09f6c7c
- Size of remote file:
- 343 MB
- SHA256:
- bfe5aa1d93b6d69b98e95946a4c8d6349d06795d308473d4b2d34a790c2c65ca
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