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:
- a180de80fa6879cc477b7c0c5fcae1a14d204aba335bca8c48cd24c80b8a4351
- Size of remote file:
- 448 MB
- SHA256:
- 7b049a7cd770e732788308a1dacbffab0de25fc5e16f3e5c713b29c0c64e7986
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