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:
- e7851da4efa7811d3a909df90914ffb9d727f175ee775a4c7104317ac5f895c7
- Size of remote file:
- 6.84 kB
- SHA256:
- 7d12262edc09d7e76cc90d695d64f245fcbb0c4c86d3c81dd88647b19e117ce0
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