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
Download training_args.bin from crncskn/radiovers2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/crncskn/radiovers2/resolve/main/training_args.bin
- Command line
-
hf download hf://crncskn/radiovers2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/crncskn/radiovers2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 2f8b864624959940f27bdadf62a4ff47ebadf9bc5d276485fdd139362d05ff3b
- Size of remote file:
- 4.92 kB
- SHA256:
- aa43f947db397c85620bde5ce74e98c24255b5b2d3a911d67ffd33db165a408b
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