Instructions to use chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "chauhoang/7f7ebf28-df62-4f63-955b-c69fdddb1347") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d8943395a97b1d90abcefeae926246040e4853f1e65203cabba66d95f93e011
- Size of remote file:
- 84 MB
- SHA256:
- a8d6ab294d92bef5ddb1bbf929a00cd1ad052770801e820d3d6e49874d41fd39
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