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-2100/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-2100/optimizer.pt
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization/checkpoint-2100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-2100/optimizer.pt
43.1 MB
- Xet hash:
- dcbea06e34a3da532e049011bfb077995bcb2a9d294205e43ebac93e41833cb9
- Size of remote file:
- 43.1 MB
- SHA256:
- 8cd823d5c0bf7203e2bc8d917393d868768d66167dd8bf4b58edee488451f5e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.