Instructions to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/rng_state.pth from lleticiasilvaa/StableCode-text2SQL-withoutquantization2: direct link, hf CLI and curl.
- Browser
- Download file 14.3 kB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-2000/rng_state.pth
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization2/checkpoint-2000/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-2000/rng_state.pth
14.3 kB
- Xet hash:
- a40998e71e87e26cfd038fcd1cfdff918d81e11787e47e5de13fb407c0087e83
- Size of remote file:
- 14.3 kB
- SHA256:
- 9ee046230dbb9ec73c1df8bc376dcc2465777d9d99a6200f969c417cf3beeada
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.