Instructions to use ToastyPigeon/q3-14b-completion-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/q3-14b-completion-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B-Base") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/q3-14b-completion-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c2a58ce42e0c066e4d1e7a22aac5540d12bd18e655f1eda9aa0ca7513815a4c
- Size of remote file:
- 7.57 kB
- SHA256:
- 771de1e7043e389b24f4f09017712554d86773494fee714bc4201560c099fef0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.