Instructions to use facebook/vit-mae-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-mae-large with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("facebook/vit-mae-large") model = AutoModelForPreTraining.from_pretrained("facebook/vit-mae-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06e3d41b590e85949a6906df1ec31a4a5a771a275cd79c68ae47852f7b2f376e
- Size of remote file:
- 1.32 GB
- SHA256:
- 28a019bd1842a7bdea1cfa9bb390047ad3fab82032cea2045873ca0399ca5a84
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