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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6851fd67f064b55253cf2cf0d70f57b0761758ff2fe656fad0130206c6b914bc
- Size of remote file:
- 5.05 kB
- SHA256:
- d0dcea631f8f482c6b34aeecbbc6900ed290879b07044c9d9b85a274e902323b
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