Instructions to use chloeli/llama-3.1-8b-pro-simplicity-spec-msm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chloeli/llama-3.1-8b-pro-simplicity-spec-msm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "chloeli/llama-3.1-8b-pro-simplicity-spec-msm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44a10bb371c9d1f4ca7215624427dc2c5a64e1c165a58bf365fdd1f0317f63a
- Size of remote file:
- 671 MB
- SHA256:
- 2207721e261169b15ac3f9f054b66988c84a9029c7777270532f137814500c53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.