Instructions to use stephenmcintosh/vit-prohibited with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stephenmcintosh/vit-prohibited with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="stephenmcintosh/vit-prohibited") 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("stephenmcintosh/vit-prohibited") model = AutoModelForImageClassification.from_pretrained("stephenmcintosh/vit-prohibited") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6ebf42c855d8cee7c8d06aaccfc9dd3e3d8584e65c50e61eafa5e614f0f2e79
- Size of remote file:
- 343 MB
- SHA256:
- 6a500a85f1b4c079a26e1caff5d3c00b5156631504ee79ce36edf9ffecfd484a
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