Instructions to use sindsub/cybersec-grouper-federated-static-round3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sindsub/cybersec-grouper-federated-static-round3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sindsub/cybersec-grouper-federated-static-round3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb4a05280a8c2427a197fddacfb44443ef21478885a650f76d98abcd1d948a7
- Size of remote file:
- 8.73 MB
- SHA256:
- 40bcf4fc94d0657c557eaf248e7491607e1b5c74c89cda2a49bb650f0e656779
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