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:
- dd00ae016a1fcd0fbb653fe1b3de7a927a61bee7fb9c3b3ecfbf656bebadcdfc
- Size of remote file:
- 448 MB
- SHA256:
- feafc747a3bed486e4b0040123598d8cf5ddb806def00724844b61f1da5085ba
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