Instructions to use Port-Pilot/Llama-3-PortMIS-Ko-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Port-Pilot/Llama-3-PortMIS-Ko-8B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Port-Pilot/Llama-3-PortMIS-Ko-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 5db5ed7a08b4c6568fe63dedc75f9d9b48a304497f0b21756c0743d06e6f7be0
- Size of remote file:
- 168 MB
- SHA256:
- 5e113fa53f818029479a80e5c56af0e58b3ed6100345fe2ee6da116422e369cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.