Instructions to use parthpk/mae_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parthpk/mae_small with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("parthpk/mae_small") model = AutoModelForPreTraining.from_pretrained("parthpk/mae_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62b243cf66d79327ecc370d6e43a4c26baeead7f1768f25b9992bc206c9a2d56
- Size of remote file:
- 570 MB
- SHA256:
- d270ea9cf15527b8bd81efd031c90a9ab0f533481dee1a566bac3bb3545ba086
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