Transformers
TensorBoard
Safetensors
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Instructions to use crncskn/prtrnlng2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crncskn/prtrnlng2 with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("crncskn/prtrnlng2") model = AutoModelForPreTraining.from_pretrained("crncskn/prtrnlng2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a76c9b9b0a045ace96649aa4835c2d56cd59fcdd2df79659435fe1d6c4b0bb76
- Size of remote file:
- 5.05 kB
- SHA256:
- dc4b01efcb0f7bad7c05e1f5a4ec681b68a3148a264fefbc928d3dc8ea4cd7f7
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