Instructions to use Henk717/spring-dragon-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Henk717/spring-dragon-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/NousResearch_Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "Henk717/spring-dragon-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d34470d194f9bd0ad6e1d5bf5892e3d2aec4ab0a15c2c73a9ae067bc2d961fc8
- Size of remote file:
- 105 MB
- SHA256:
- 938996dce365948e6423e953c54c09deaa48a74f98e5b128e67d2416de13ff8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.