Instructions to use maidacundo/annie-lite-v2.12-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maidacundo/annie-lite-v2.12-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-v2.12-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e30078d8daf851df37500e821c89d521b4acbb75a0fc520a68277d428dc343e3
- Size of remote file:
- 349 MB
- SHA256:
- 683c868cf1e637d30b3ff48c28a6b46ea5dcbdc559127df0f3a33c3761b4ae3d
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