Instructions to use Joy23064/qlora-koalpaca-polyglot-12.8b-50step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Joy23064/qlora-koalpaca-polyglot-12.8b-50step with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "Joy23064/qlora-koalpaca-polyglot-12.8b-50step") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9840bf23bdf0e5f08d0207e9966601557f4c96ac077b1a3dd7b21d74d8fef951
- Size of remote file:
- 26.2 MB
- SHA256:
- bd267fbb99ba8a30158c46790d1f15931270d9d73d40fbe89d0235622169b304
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