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:
- eb072822b60a39a32b9048ad59f5562f8a00ae44848513bfc8422c7080262749
- Size of remote file:
- 84 MB
- SHA256:
- 15cf2f33dcb6fce1822ccbde41136b4ed7dbd56793db81e3e8850f69d1604303
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