Instructions to use lleticiasilvaa/StableCode-text2SQL-schemaReduzidoTabelas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-schemaReduzidoTabelas with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-schemaReduzidoTabelas", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c723f1313232f1540cc9472999de3a301cc5bd27f4a3a17a5bc6e680d285470e
- Size of remote file:
- 204 MB
- SHA256:
- 2db1ab077ba6507dba9d6414e45155a2c76ee3a488af6e459e0f983de6d8b92a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.