Transformers
TensorBoard
Safetensors
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Instructions to use crncskn/radiovers17v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crncskn/radiovers17v with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("crncskn/radiovers17v") model = AutoModelForPreTraining.from_pretrained("crncskn/radiovers17v", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44fcd7393281a691ee9eada38f32a735be01204dde105493cff456410b0659cf
- Size of remote file:
- 5.05 kB
- SHA256:
- fa03a9cd641b7f1c0eb98d799a68b6d9660ab7b787fefbf3392347abee0188ea
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