Instructions to use lleticiasilvaa/StableCode-text2SQL-withoutquantization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-withoutquantization with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 875f98421e52e08eec736d44fba4ae3f0cf60eb15fe84ac39a8603fc04d581eb
- Size of remote file:
- 42.8 MB
- SHA256:
- dbd22e739e9a9ff8e7ae4f880662a498e948475c8641aff899e3c2614f3f69c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.