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 training_args.bin from jaypratap/vit-pretraining-2024_03_14: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/jaypratap/vit-pretraining-2024_03_14/resolve/main/training_args.bin
- Command line
-
hf download hf://jaypratap/vit-pretraining-2024_03_14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jaypratap/vit-pretraining-2024_03_14/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 08e0a0c35bc9db129e07e1e77fb315dca470bb4590690faeb9c4b3f4ec04ffa2
- Size of remote file:
- 5.05 kB
- SHA256:
- 736aa913605d4ddfb6044116bb3cfded3813167959feed67886e29341b5569b1
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