Instructions to use davanstrien/convnext_manuscript_iiif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext_manuscript_iiif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext_manuscript_iiif") 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("davanstrien/convnext_manuscript_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext_manuscript_iiif") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b987dc4c44bda94acf405b1b792f18a0b4f9e9883b6256c54a62b2e68a74da44
- Size of remote file:
- 3.18 kB
- SHA256:
- 4e01dd80d423b749f7dd4d13e96cf7a83438c60951b6ff1cbf703263cee53757
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