Instructions to use slpkl/ShopliftingClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slpkl/ShopliftingClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="slpkl/ShopliftingClassifier") 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("slpkl/ShopliftingClassifier") model = AutoModelForImageClassification.from_pretrained("slpkl/ShopliftingClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86613da209ad23247bf35d28606db2da3b307c7a6c435baaa6c44d136c220a7a
- Size of remote file:
- 343 MB
- SHA256:
- 126e9db7e36ade83203a205625d4994bca9edcec9df8367275922b824f950466
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