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:
- 1094d520679f5d3ef608069805671ddbcdeafeae02ec9cc6b38c336bb4d121f9
- Size of remote file:
- 839 MB
- SHA256:
- cb218195c9583ecc8cb9d91f14ce418d398a03130c376188d35981e65bf2e49d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.