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:
- 4b284c1e431cabc9da89d92a438b12f2cdabf92a1f36854ffd07f650cf400d22
- Size of remote file:
- 6.84 kB
- SHA256:
- 6f6078738fdcab170261fe65c10d5bcddf8dd2cb3c53d27a8988422d487c4765
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