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:
- b65917a050fbb8275ce6686ea33d9acf5aabecc95023166b97aeaf7a59a46f8f
- Size of remote file:
- 11.4 MB
- SHA256:
- 038b82d76f6f6f4c76a9acafeade391aa9ff923aaaedcc741011bb478ed60c55
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