Instructions to use rovdetection/code-1b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e48e2f9baf3cd859661025fcd24044d123a367d3a0f403650b3b903a1f0a9545
- Size of remote file:
- 5.78 kB
- SHA256:
- db0a62792e6a92c9c94641833ccdb8713427853bbc327f08f37bdc954c14d801
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.