Instructions to use linkonx/kanana-nano-2.1b-LinkOnX-Modeler-Code-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linkonx/kanana-nano-2.1b-LinkOnX-Modeler-Code-v1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("linkonx/kanana-nano-2.1b-LinkOnX-Modeler-Code-v1.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b9b81aad33d23bd4cb201b2fd40b79525accd578372c3c54dc059cfca9eaed4
- Size of remote file:
- 4.17 GB
- SHA256:
- 029830f017ff4aded675fce11d5ef64632c8f17ceb756068f8e854a9c9923f21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.