Instructions to use duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39 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, "duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f8996fc2173e8ab11ec5f1075f8454a9e9bba6376e8c74bfa7b8fac338405c3
- Size of remote file:
- 6.78 kB
- SHA256:
- dbabf14d64cabaaba277772c0488f57f6ff57505994b75cc9f3f7307cfc075a6
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