Instructions to use igzi/lora-e2e_nlg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-e2e_nlg with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-e2e_nlg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afa45068ca014c51c51f8f5df567bfbd3e2c6bcfc7283a149103a927a68fd7a7
- Size of remote file:
- 5.24 kB
- SHA256:
- 11840ace8e96954f717462d141153410dbc2899c3fbc6c1c7b79a36697b59d4a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.