Instructions to use thuan220401/Llama3_StackOverflow_FineTuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thuan220401/Llama3_StackOverflow_FineTuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "thuan220401/Llama3_StackOverflow_FineTuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41ecfa36caadfa3242cb690e6e70c76988d0f95a651ffec2af94cf37a03f4665
- Size of remote file:
- 5.43 kB
- SHA256:
- a138b92d1bee61a7cb341fc71e6c4a6142dad633b8dccb56b9f6ad18aea157a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.