Instructions to use ericvo/scribbl-scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericvo/scribbl-scan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ericvo/scribbl-scan") 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("ericvo/scribbl-scan") model = AutoModelForImageClassification.from_pretrained("ericvo/scribbl-scan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51c6da130a7d4843edf92df732dff2e58021ea07ba4518387ba1cbc5e6b47948
- Size of remote file:
- 3.96 kB
- SHA256:
- 5168ed0d536ebe9e05710e2a42e701d765e5d4a39b79bec7337527ad79f3b6f4
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