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:
- 7d6e19e28ad0c39e3063caeb786119be9691f8f760871a2bcbba3d3351e2554d
- Size of remote file:
- 1.06 kB
- SHA256:
- 171ff9cbd9dbb8f75ae75031cdc3ddb9278275a70e2b0c662079240b75f6bfee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.