Instructions to use seize/Llama-seize-JEJU-Ko-3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use seize/Llama-seize-JEJU-Ko-3-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "seize/Llama-seize-JEJU-Ko-3-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1583eb917bf011851aa8c6584859d7e3ea23e95bcf04c56bc79654b3d8ea3cdc
- Size of remote file:
- 5.24 kB
- SHA256:
- 2072749c530599d43ddbfdb3b05514bdeff588e0228e90ca68f153887126b744
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