Instructions to use dada22231/6f0d2e5b-1d77-4e06-9478-e20bfab370bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/6f0d2e5b-1d77-4e06-9478-e20bfab370bb 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, "dada22231/6f0d2e5b-1d77-4e06-9478-e20bfab370bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b56d95533355f7fda8df01ba1d43f9663ee9d328485d41380ffba254e913ee0f
- Size of remote file:
- 15 kB
- SHA256:
- fe59ffd381afffc0c19e45c9f632b42fa8ecc2c4f39c890c9416396034d3f3ca
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