Instructions to use facebook/vit-mae-huge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-mae-huge with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("facebook/vit-mae-huge") model = AutoModelForPreTraining.from_pretrained("facebook/vit-mae-huge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b407fc14e05fea07224109c58f4f32d321a7a3020cb3442ab265e7f59c13288d
- Size of remote file:
- 2.63 GB
- SHA256:
- e357e5e8a2e6c86129a081c51a9262291145abf253ca1711474a1b3fdc71d5fb
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