Instructions to use lleticiasilvaa/StableCode-text2SQL-alias-indentacao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-alias-indentacao with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-alias-indentacao", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-500/training_args.bin from lleticiasilvaa/StableCode-text2SQL-alias-indentacao: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-alias-indentacao/resolve/main/checkpoint-500/training_args.bin
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-alias-indentacao/checkpoint-500/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-alias-indentacao/resolve/main/checkpoint-500/training_args.bin
5.56 kB
- Xet hash:
- 464b9bd3ff1c6d124ced1e953f7f19134898f8753d9d0cf203f035413ab4c576
- Size of remote file:
- 5.56 kB
- SHA256:
- da3dedd34988f1200d6dd0bdca9a10b85e9fdb9d16cf44025625c8ff185de71a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.