Instructions to use fpsandnoob/mae-vit-base-patch32-224-ct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fpsandnoob/mae-vit-base-patch32-224-ct with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("fpsandnoob/mae-vit-base-patch32-224-ct") model = AutoModelForPreTraining.from_pretrained("fpsandnoob/mae-vit-base-patch32-224-ct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4cf23cc4b90696a2dce6729cfac7d124aaa5a82f23d9811fa2aa1267fc4bbf7
- Size of remote file:
- 459 MB
- SHA256:
- 47ce9efb7cc27775f98d62ee2185cdec536b3ce6eb274c48843fb31c4dd48337
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