Instructions to use aivleschool25/koalp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aivleschool25/koalp 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, "aivleschool25/koalp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d8d7bfc6223d758630bb4a80f2209534c328a098dfb28b52370423ee79ab999
- Size of remote file:
- 13.2 MB
- SHA256:
- af4f4b25670d41d9087e5deadbbaa609a48bb78b9460457eb0ab2dd925a355ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.