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:
- 7e0ce3da9f2498bc8b3d8c977219b6e49bee34802d178ee3ee21164f9ad646c2
- Size of remote file:
- 418 MB
- SHA256:
- aa9d81e7e7fde61fcff8a0d1647f50c097422fc8c32e085c9c45d1d4bafcdc16
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