Instructions to use crncskn/radio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crncskn/radio with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("crncskn/radio") model = AutoModelForPreTraining.from_pretrained("crncskn/radio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bef4b14dffd71837c9feaf636eef9b4f7c1f470f84ff5a8e115ad36c2528b0d
- Size of remote file:
- 448 MB
- SHA256:
- e5c32d1c43c43861009f212ad7f4fdafadf790312848f2cb3e699b517f2a0a21
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