Instructions to use maidacundo/annie-lite-v2.11-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maidacundo/annie-lite-v2.11-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "maidacundo/annie-lite-v2.11-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7c4e002178ddf004df8e98d4ca1e7c35fab5a2c5dbb660c4eaa966db62e3d24
- Size of remote file:
- 14.2 kB
- SHA256:
- e6a60d082cf4b7a673ac09a7c84ae114580a64e57c96ad4288262ff0b236d02a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.