Instructions to use wisdominanutshell/corrector_llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wisdominanutshell/corrector_llama3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "wisdominanutshell/corrector_llama3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e78001c7078b0af6357ff82fbdc614b12e8c5e9f01ed42c2c798d5dabc4db8d
- Size of remote file:
- 6.01 kB
- SHA256:
- 6f33117610b5a35d0b30a69b0b1ed39e59f64acd3b086226dc076c7a93fbb088
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.