Instructions to use setnext/setnext-sqlgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use setnext/setnext-sqlgen with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("setnext/setnext-sqlgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48a83d21654e1c7a2d281f345ea6457b2dc922b322ac434b6558389ce236d19f
- Size of remote file:
- 336 MB
- SHA256:
- b57a34defa3630dc045293f600f5400e0c3a84932223f642206e5ce22391bb66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.