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-200/scheduler.pt from lleticiasilvaa/StableCode-text2SQL-withoutquantization: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-200/scheduler.pt
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization/checkpoint-200/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-200/scheduler.pt
1.06 kB
- Xet hash:
- 729053b75e80f697f0d33796257c80b124564694ff15a787f6d50a4dad1e7b91
- Size of remote file:
- 1.06 kB
- SHA256:
- 58998345bfe925884b8c40a662cf180558895e52334bcec5fb7f8a7dfd3d72ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.