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
| { | |
| "epoch": 50.0, | |
| "eval_loss": 0.5090942978858948, | |
| "eval_runtime": 27.4368, | |
| "eval_samples_per_second": 110.946, | |
| "eval_steps_per_second": 13.886, | |
| "train_loss": 0.5550972292020724, | |
| "train_runtime": 13976.6946, | |
| "train_samples_per_second": 61.703, | |
| "train_steps_per_second": 7.713 | |
| } |