Instructions to use cafeai/cafe_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cafeai/cafe_style with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cafeai/cafe_style") 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("cafeai/cafe_style") model = AutoModelForImageClassification.from_pretrained("cafeai/cafe_style") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ea3cffb487f33cb9c6af236d28dae25b7685e1332317f9fd11053c4e927a5ce
- Size of remote file:
- 3.39 kB
- SHA256:
- 927e3eadcdd575149b0bb5416167fac405d9bc33b965e45a809c6ebf3da3d30a
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