Instructions to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9f8fddcbf3e3ec96008020d1066562c34f0dfcf16c876e54cb895dd3a432f1
- Size of remote file:
- 83.9 MB
- SHA256:
- c5c089bfa2b2b153825d909e308330ce02c6792be5c5c69ef244d3430e2ccf2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.