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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 605d3fa13fd3a30ce5c5a474c10c396a95a4f794d565dd45c541d45a11cc346f
- Size of remote file:
- 4.6 kB
- SHA256:
- fbf160e23075e47207949033f208bcb63360209a1afa7d807f3cca78b0040b81
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