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:
- 9e001fcfd965237fa39c69feab5304560129fe27a11550238d0033a3f4ccd871
- Size of remote file:
- 204 MB
- SHA256:
- a47eb1433c66f15db50b61cfc00c3f001f486af12288f791373ced2a3685bc4d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.