Instructions to use phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233 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, "phungkhaccuong/003a17bd-999b-df7b-8f1c-ae6ee5673233") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2251c6bff2c6c00b2fb78308145dd8b18dab1926ac9430862919148bd324ccf
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
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