Instructions to use rovdetection/code-1b-expert-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-expert-assistant with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-expert-assistant", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8a5edcc69c4d0a0ebd6ec3a1f9eb38818d30ce16c9a8aa0a121e68ec124ec34
- Size of remote file:
- 5.78 kB
- SHA256:
- 72d5d698823ff3855f1b14a90837b64ecd809efa1725d828f6c4a6ff29924a83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.