Instructions to use Hiba03/Llama-3.1-8B-RedTeaming-Epoch4-Checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hiba03/Llama-3.1-8B-RedTeaming-Epoch4-Checkpoint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hiba03/Llama-3.1-8B-RedTeaming-Epoch4-Checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 111b330c6fbf8fcb4323912ac1674ab725149bfd9d5f839c42f839828c19b5c5
- Size of remote file:
- 336 MB
- SHA256:
- 16e0e0edda207b75b1001ff8dbb9d96f93b55c6c30fbd1e76f02e6a0ae49563e
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