Instructions to use dada22231/f9ed846b-6a33-4b6b-8362-24c24958fa7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/f9ed846b-6a33-4b6b-8362-24c24958fa7e 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/f9ed846b-6a33-4b6b-8362-24c24958fa7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc256158a1160f4377473e9283ddf83ceb4da6d7b7894e91ad36f22a23c18a9c
- Size of remote file:
- 671 MB
- SHA256:
- 99c380babf18db499e31d669d07ecb01758a05de5a7dc7bb0e190868eeb46347
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