Instructions to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa 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, "aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa6281d0be5785f0d36ab17ce453f3f184e5eae2388380eb48b15846dae615c4
- Size of remote file:
- 839 MB
- SHA256:
- 4f23c0b8b57f59ffb8b415f957b211fa7b820ee0859db54feceff36e30a6f4d2
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