Instructions to use davanstrien/vit-manuscripts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/vit-manuscripts with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("davanstrien/vit-manuscripts") model = AutoModelForPreTraining.from_pretrained("davanstrien/vit-manuscripts") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
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@@ -3,6 +3,7 @@ license: apache-2.0
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tags:
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- masked-auto-encoding
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- generated_from_trainer
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model-index:
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- name: vit-manuscripts
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results: []
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tags:
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- masked-auto-encoding
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- generated_from_trainer
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base_model: facebook/vit-mae-base
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model-index:
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- name: vit-manuscripts
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results: []
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