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:
- eae54361fbf86909456e9c8ad2f62cb3efaf39ce122bc4fcde470d4ae9a1809f
- Size of remote file:
- 14.3 kB
- SHA256:
- 891f9d4d191ea6ab8d1e3c8e133319a13d8a0619a8293b5b6e51c3cca8a46f0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.