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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MAE / runs /May09_05-23-04_9a594e8f2c64 /1683609793.533688 /events.out.tfevents.1683609793.9a594e8f2c64.4853.1
- Xet hash:
- 35e937f642924e39d5dd522886c7ee8374ac5cd075cfea178216aa9ac3aa07dc
- Size of remote file:
- 5.99 kB
- SHA256:
- f6a8ed9285356910f7ab854bc8227b14baf44eda47c8060d9a670c339fe36258
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