Instructions to use tryeverything7321/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 tryeverything7321/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, "tryeverything7321/qlora-koalpaca-polyglot-12.8b-50step") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d5651110b7f3d05f0ff3551efaa8d81c19ecfada93f472ae2f257fa21c5b693
- Size of remote file:
- 26.2 MB
- SHA256:
- 64c4d0a4d4c92031376d9c4093654f888bd5544a4209303547f74cb4a701a370
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