Instructions to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "aleegis12/3a8d2a77-5632-4569-a84f-021e00ec804c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df92aff3f4c7f7b10fed45245adbeb5a289e4c8295725c560301fce1615abe1f
- Size of remote file:
- 6.84 kB
- SHA256:
- c234c2778dc9b749585a6009ad23f99d398a1c1fda7a2fcfee8a66b0f4fd31a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.