Instructions to use lhordking/Shadow-coder-Backend-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lhordking/Shadow-coder-Backend-LoRA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lhordking/Shadow-coder-Backend-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 133 Bytes
46585a4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
size 11422356
|