Instructions to use tonyassi/art_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tonyassi/art_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tonyassi/art_classifier") 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("tonyassi/art_classifier") model = AutoModelForImageClassification.from_pretrained("tonyassi/art_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0534305fd683b0a5b9cb2aeef9564b0b358f05272cfc790fe9b8b15d22c55a1
- Size of remote file:
- 343 MB
- SHA256:
- 1f5e04334b93aa1550b95d7db57d21638821c21c56de0bf28b6954b40ad44689
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