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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/convnext_manuscript_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext_manuscript_iiif", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#3)
- Librarian Bot: Add base_model information to model (533ff8aeb1ffed0ebbd4f39c6bc5280304a9ebfe) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>bde0b77 -
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (caf6b4506035cbdbc51c1ebe63bea80855748bb4) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b30841a
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