Instructions to use devolvedaihub/LunaChat-V-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devolvedaihub/LunaChat-V-1.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B-Chat") model = PeftModel.from_pretrained(base_model, "devolvedaihub/LunaChat-V-1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cde194236be1068033e8c4df4604e6c90285c2e91d8455d98667477cf41088d
- Size of remote file:
- 984 MB
- SHA256:
- 4bb496ffff58bee7986a4f8b9b6c9b940f2f17612c6d36461c7ef5adfa371073
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.