Instructions to use Jongbin-kr/llama-3.1-8b-instruct_SNI-domain-c_58325_ffn-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jongbin-kr/llama-3.1-8b-instruct_SNI-domain-c_58325_ffn-only with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jongbin-kr/llama-3.1-8b-instruct_SNI-domain-c_58325_ffn-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 373b8c30e7ca264c5813cb3c16698b1dd36a7ae14b67641f34032dc1d8caf9b8
- Size of remote file:
- 5.91 kB
- SHA256:
- c81be714fc4fb8e0b25f19203cceefc576f7c43c802810d69a2e22f9b3c19e82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.