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:
# pip install -U transformers accelerate # 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
File size: 312 Bytes
38b5f3d | 1 2 3 4 5 6 7 8 9 10 11 | {
"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
} |