Instructions to use seize/Llama-seize-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-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-Ko-3-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f41e77a206fe733e2efbc914da55c1c57abf2113969fe1cb71ee9b9fd1dc2b05
- Size of remote file:
- 5.24 kB
- SHA256:
- 8d750f4f4666e9ec0802d5b4e21777a57131d4b193efea1027da1b6b97ba4a90
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