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:
- 71f3f123175e59b4cf2d08a3a3f4ddb8bc9e1032a9eeb289d63a6cbd494636b2
- Size of remote file:
- 5.82 kB
- SHA256:
- d2e11f957bb20f44aeb56534181a858b417496c98f0523f3edb6fcece70bfc2a
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