Instructions to use oosij/llama-2-ko-13b-ft-emo-single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oosij/llama-2-ko-13b-ft-emo-single with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/llama-2-koen-13b") model = PeftModel.from_pretrained(base_model, "oosij/llama-2-ko-13b-ft-emo-single") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5740a45abc26e6b0c02c46fa90071f46b9d56810fdface7dafd0a0da7f5c2070
- Size of remote file:
- 210 MB
- SHA256:
- 748e882ece3e2c5b781944c7573951af159223893bd66f8bb172c3251a2fe662
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