Instructions to use kls123/CTI-llma3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kls123/CTI-llma3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kls123/CTI-llma3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb8dce99670e3158342fbbaf63343d86d3259e89a90ea3a13188add34ff9d53
- Size of remote file:
- 6.03 kB
- SHA256:
- 655576017d20c6d51f29236bd43283786087b205dbf9a2f477b933e1b6b0c5ba
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