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:
- 86f39322781bf79753de23eb4f8417d26c17c6dc16031859a9d7ad771c48514d
- Size of remote file:
- 17.2 MB
- SHA256:
- 602f9c588f3b1b4c74e8afb51f75f5636120e3b418ba0f04c7562851e545a099
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