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
Download code2lora_local_metadata.json from benthecarman/rust-lightning-code2lora-adapter: direct link, hf CLI and curl.
- Browser
- Download file 201 Bytes
-
https://huggingface.co/benthecarman/rust-lightning-code2lora-adapter/resolve/main/code2lora_local_metadata.json
- Command line
-
hf download hf://benthecarman/rust-lightning-code2lora-adapter/code2lora_local_metadata.json
-
curl -L -o code2lora_local_metadata.json https://huggingface.co/benthecarman/rust-lightning-code2lora-adapter/resolve/main/code2lora_local_metadata.json
201 Bytes
| { | |
| "repo": "/home/ben/projects/rust-lightning", | |
| "checkpoint": "/home/ben/projects/code2lora/checkpoints/code2lora-direct/code2lora_direct.pt", | |
| "random_smoke_weights": false, | |
| "embedding": null | |
| } | |