Instructions to use kcsteam1/final_12000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kcsteam1/final_12000 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, "kcsteam1/final_12000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6c5a273046e0f040da6c74701143d5997dc7d30d18348f4dc541fd1c17526c9
- Size of remote file:
- 52.5 MB
- SHA256:
- 1ccddfdb23a9b2ee320b81497fbb57590e7b6475361bf564a4d8ef6ad68c056d
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