Instructions to use Circularmachines/MAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Circularmachines/MAE with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("Circularmachines/MAE") model = AutoModelForPreTraining.from_pretrained("Circularmachines/MAE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55875e5c958791c86cdda86db8e8039cddbf214d6c6b695d52771b25a8d63d6c
- Size of remote file:
- 4.03 kB
- SHA256:
- cd8b9522950c67be029a791d6106d52f9151a04029efae670f0c6ab7f45e985c
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