Instructions to use rovdetection/code-1b-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-aligned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-aligned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4c595289a6b2f7bac7f06968ab87f6c640487bf94b5389aadd2ac50f4a12130
- Size of remote file:
- 19.3 MB
- SHA256:
- 4396b970a44b47c1a9a22c56f77f032ab8256411d5d189c740733bd5fe51ec2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.