Instructions to use davanstrien/test_mae_flysheet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/test_mae_flysheet with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("davanstrien/test_mae_flysheet") model = AutoModelForPreTraining.from_pretrained("davanstrien/test_mae_flysheet") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
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@@ -5,6 +5,7 @@ tags:
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- generated_from_trainer
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datasets:
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- image_folder
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model-index:
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- name: test_mae_flysheet
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results: []
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- generated_from_trainer
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datasets:
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- image_folder
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base_model: facebook/vit-mae-base
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model-index:
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- name: test_mae_flysheet
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results: []
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