Instructions to use superlubdub/stencil-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superlubdub/stencil-art with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="superlubdub/stencil-art") 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("superlubdub/stencil-art") model = AutoModelForImageClassification.from_pretrained("superlubdub/stencil-art") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38311ae7db54703a58e620eab0bd454e64f80f133185629d8d962b5602052fa5
- Size of remote file:
- 343 MB
- SHA256:
- 04ae0b07ac8d6fe3c0e11b4b73e16d1d07844352c4ea747ff4754c4f1eaf4f5f
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