Instructions to use dada22231/005efa68-a7d9-4fa6-a24f-0fb7626c4b95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/005efa68-a7d9-4fa6-a24f-0fb7626c4b95 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, "dada22231/005efa68-a7d9-4fa6-a24f-0fb7626c4b95") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c46085f83f9faa383cbf77627766397b450a3411ac4dba047770a33f403a6e92
- Size of remote file:
- 336 MB
- SHA256:
- 71d7d1cdf3b6869b84979cb44d19d1af14e8db1d842be8c2bacef878f64e52a4
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