Instructions to use flyingbugs/style_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyingbugs/style_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyingbugs/style_classification") 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("flyingbugs/style_classification") model = AutoModelForImageClassification.from_pretrained("flyingbugs/style_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 283d5deb0ee8ce4937f41c755427dd26019973495abbf6537e86e77991c2da9d
- Size of remote file:
- 4.6 kB
- SHA256:
- 7c5958178dd965813bcb3a3e00e6632f185edac23e37a3b4643ee3da919b6e11
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