Instructions to use moos124/code-reasoning-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moos124/code-reasoning-0.5b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moos124/code-reasoning-0.5b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e9ea57696d2ca53da8f4c8ba23795f220612865650ac302f539cf7c8f94e4b
- Size of remote file:
- 5.71 kB
- SHA256:
- 049654f1058f6721eab5e33ba647423b13c121ce513743ba29e24409ffe1a251
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.