Transformers
TensorBoard
Safetensors
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Instructions to use crncskn/prtrnlng3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crncskn/prtrnlng3 with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("crncskn/prtrnlng3") model = AutoModelForPreTraining.from_pretrained("crncskn/prtrnlng3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b1e6277b6191724e52f06a328711c2461f2964546acda1d66904d82402e0d30
- Size of remote file:
- 448 MB
- SHA256:
- 81306a2d6926d04b643e4be72a6c304118646a115f24034c127af14591c32333
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