Instructions to use benthecarman/rust-lightning-code2lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benthecarman/rust-lightning-code2lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B") model = PeftModel.from_pretrained(base_model, "benthecarman/rust-lightning-code2lora-adapter") - Notebooks
- Google Colab
- Kaggle
| FROM qwen2.5-coder:1.5b | |
| ADAPTER /home/ben/projects/code2lora/adapters/rust-lightning-code2lora/adapter_model.safetensors | |
| SYSTEM """ | |
| You are Qwen2.5-Coder-1.5B with a Code2LoRA-generated adapter conditioned on | |
| the rust-lightning repository. Prefer Rust code and rust-lightning/LDK naming | |
| conventions when they are relevant. Be explicit when uncertain. | |
| """ | |