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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/optimizer.pt from lleticiasilvaa/StableCode-text2SQL-withoutquantization: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-2000/optimizer.pt
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-2000/optimizer.pt
43.1 MB
- Xet hash:
- d59668de8ff9ec669e54a2cdb438bca2d3d26cc7add07522d357c7bb82aff332
- Size of remote file:
- 43.1 MB
- SHA256:
- 77a17155063f3c49d76f503546d107a76a0d06af096116c001324bd4a93903cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.