Instructions to use prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd 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, "prxy5607/ec3cfc36-4631-405d-8963-074d7ac979cd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8636015be9b946ae7003c29897312a96f369b46c96c814c44d4dee390adb00ae
- Size of remote file:
- 341 MB
- SHA256:
- 0d8c6464c08ba7591c536965857a40ff93404d66af880735530994ed9ee4b8f9
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