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:
- f23bb4fee836bff010069bc0a7381301a728830c69258c09aac9671aa1ec40de
- Size of remote file:
- 3.64 kB
- SHA256:
- 823c485baba9ea01954169245537ce065281afc1722cf14f8d059a8604858a2d
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