Instructions to use lleticiasilvaa/StableCode-text2SQL-schemaReduzido with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-schemaReduzido with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-schemaReduzido", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ace119cbeab46f394210960e2285f0f8d0b7bb92176695c86370718f434872a6
- Size of remote file:
- 14.3 kB
- SHA256:
- 51cc08418e322d2d5b4eec8c6fe4753c8de541b5877c5de90f297cf126c6971d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.