Instructions to use InfometryINC/phi35-text2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfometryINC/phi35-text2sql-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InfometryINC/phi35-text2sql-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a92134a7cbcf5638c9f4d84fec61a50627666172d1034b5c7bfa9b60f98be2fe
- Size of remote file:
- 101 MB
- SHA256:
- adb37a803435c287b2ac1bb8245c92b2cffa8b600b9b7e56b4a544463dc6afe4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.