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
File size: 201 Bytes
0783aa1 | 1 2 3 4 5 6 7 | {
"repo": "/home/ben/projects/rust-lightning",
"checkpoint": "/home/ben/projects/code2lora/checkpoints/code2lora-direct/code2lora_direct.pt",
"random_smoke_weights": false,
"embedding": null
}
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