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:
- 5ca1e1eb3b318049227eac73830f346e6d27e17cb4fa88c120e7cad24e3dee2f
- Size of remote file:
- 83.9 MB
- SHA256:
- d176edd455059c3d5f2bc931fa64a9c27ceda67692d8731e3d58a54dc9ab5dba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.