Transformers
TensorBoard
Safetensors
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Instructions to use jaypratap/vit-pretraining-2024_03_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaypratap/vit-pretraining-2024_03_14 with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("jaypratap/vit-pretraining-2024_03_14") model = AutoModelForPreTraining.from_pretrained("jaypratap/vit-pretraining-2024_03_14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from jaypratap/vit-pretraining-2024_03_14: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/jaypratap/vit-pretraining-2024_03_14/resolve/main/eval_results.json
- Command line
-
hf download hf://jaypratap/vit-pretraining-2024_03_14/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/jaypratap/vit-pretraining-2024_03_14/resolve/main/eval_results.json
163 Bytes
| { | |
| "epoch": 800.0, | |
| "eval_loss": 0.3360130190849304, | |
| "eval_runtime": 63.6007, | |
| "eval_samples_per_second": 79.543, | |
| "eval_steps_per_second": 9.953 | |
| } |