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-600/optimizer.pt from lleticiasilvaa/StableCode-text2SQL-withoutquantization: direct link, hf CLI and curl.
- Browser
- Download file 42.8 MB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-600/optimizer.pt
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization/checkpoint-600/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-600/optimizer.pt
42.8 MB
- Xet hash:
- 671090a91a896835368f1231df3ca4ee6b8bec0af8531979a04daa18f8e35c68
- Size of remote file:
- 42.8 MB
- SHA256:
- 6cf4a634e01edfdb2028ccbb380225dbc077dd0509c5cd63a0bd633d9fa1d2c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.