Instructions to use Incomple/Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Incomple/Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7750b10bdcb9d8419fac8439f105bfbd9b86498a603c1c802d7c4910a21b5a34
- Size of remote file:
- 83.9 MB
- SHA256:
- f7611cacacaa64aacccf69cbb806471996ed5c9165831448fa047ffc6a1a052d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.