Instructions to use ldhldh/12.8b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ldhldh/12.8b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/KoAlpaca-Polyglot-12.8B") model = PeftModel.from_pretrained(base_model, "ldhldh/12.8b_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f16a8e1c796b324568cac34a033c0b2b137fe3ef0dbf8fd9c4eb6a59e7b2bd7
- Size of remote file:
- 26.2 MB
- SHA256:
- ef00282939442b99da377b48888793cea1e71718f7ffcb4b5a086c4cd2b2444d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.