Instructions to use valteu/qa_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valteu/qa_lora_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "valteu/qa_lora_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55ecd34dcf2dbd6a00d52a08bab4d366b58e9a2584af484001326f47d736e7bf
- Size of remote file:
- 10.9 MB
- SHA256:
- 2ea66828f45b510e27ddeb4735822827cda56295c0e76b8f0aa037b76c801f30
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.