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:
- 759e521ddf7e30c68312c8b50450325e6ec17f911f42c1af8a34cbae4ab85214
- Size of remote file:
- 17.2 MB
- SHA256:
- e11d14bebf62c65f8714ebb1dde76a0845574e7837e30a3863e334b765575df7
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