Instructions to use 1-lock/de936fd2-c145-43b6-81a2-25918650b043 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/de936fd2-c145-43b6-81a2-25918650b043 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "1-lock/de936fd2-c145-43b6-81a2-25918650b043") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdf6ea282501bdf02c91462d7cf849cd9518f638dbdb7c23eb74b8da196603b5
- Size of remote file:
- 203 MB
- SHA256:
- 4ee4fb08875bda7b486ffbaa8bcd365f2fb4f84b5ccbf59c7bf95e5d28391d10
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.