Instructions to use crncskn/radiovers2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crncskn/radiovers2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("crncskn/radiovers2") model = AutoModelForPreTraining.from_pretrained("crncskn/radiovers2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Rename ViTconfig.json to config.json
Verified signatureafbf8c0 -
Rename config.json to ViTconfig.json
Verified signatureb2fb509
-
Update README.md
Verified signature3db3166 -
Create README.md
Verified signaturef27172b -
Update README.md
Verified signaturePre-training radio-ai/ct0cc6510 -
Create README.md
Verified signature9ec8d82 -
Update README.md
Verified signature9164e39 -
Create README.md
Verified signature1c961ca
-
Upload 4 files
Verified signature292f455 -
initial commit
Verified signature35869de