Instructions to use cherrypaca/puppies_classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cherrypaca/puppies_classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cherrypaca/puppies_classify") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("cherrypaca/puppies_classify") model = AutoModelForImageClassification.from_pretrained("cherrypaca/puppies_classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cherrypaca/puppies_classify: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/cherrypaca/puppies_classify/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cherrypaca/puppies_classify/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cherrypaca/puppies_classify/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 4bb90ce49cef5a2ed4a214275522ff0e2a2561d320948869d8783d27407d3652
- Size of remote file:
- 343 MB
- SHA256:
- 8a0d52a105251a800bdc00c43c8851a3038b4fba260f230446ddb39727658c47
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