Instructions to use csujeong/QLoRA-KoAlpaca-Polyglot-12.8b-80step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use csujeong/QLoRA-KoAlpaca-Polyglot-12.8b-80step 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, "csujeong/QLoRA-KoAlpaca-Polyglot-12.8b-80step") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7d6e48d1b15742cc4cf1266299bfe9dc4bd214d16d7b4030e1ca22b360b63d2
- Size of remote file:
- 26.2 MB
- SHA256:
- baf59f817c176e6969d148d3240b26ae9218dcb6b96d05e3d8e14c798bc67a90
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