Instructions to use ysr/hyperparam-rust-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysr/hyperparam-rust-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ysr/hyperparam-rust-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d1cd9284369a8711aa3d2f198bff7cbb24c0fbc24ad61b82c1125d012e9fdcb
- Size of remote file:
- 101 MB
- SHA256:
- cd72ba763042a96ef9dcec1b03109c1fe6b141c4b1f0182831f51cd86df4142f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.