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:
- c420dbbc21a5ef5cb7f5d12548ef7dc148ea3c33c35c5c371b54b3a71c8e8a10
- Size of remote file:
- 355 MB
- SHA256:
- 37791bc54ecea71c28ce07f7228af3dc118bfe42fc84534938266ab15eba64af
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