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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 150.0, | |
| "eval_loss": 0.46170294284820557, | |
| "eval_runtime": 30.9423, | |
| "eval_samples_per_second": 131.179, | |
| "eval_steps_per_second": 16.418, | |
| "train_loss": 0.5040761357951047, | |
| "train_runtime": 31987.2375, | |
| "train_samples_per_second": 76.123, | |
| "train_steps_per_second": 9.519 | |
| } |