Instructions to use sindsub/cybersec-grouper-federated-active-round3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sindsub/cybersec-grouper-federated-active-round3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sindsub/cybersec-grouper-federated-active-round3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b92c499a43a9696f686dce00fb17e56e3d5282f546cf12e09d2b03301da4c5a
- Size of remote file:
- 8.73 MB
- SHA256:
- 956502ebdb83c3845cfc7bd18ec5109896a5971affb9ad5031c7bb989bda75ca
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