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:
- 6b33f6664aeef2e1b86a51fd81784bea747b7c73f76644d940c0f7409a80350c
- Size of remote file:
- 376 MB
- SHA256:
- c54847c4cc7b892017219bf5ba06a6214ad38a8b75a60733e37033c94a922a14
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