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-1500/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-1500/rng_state.pth
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization2/checkpoint-1500/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-1500/rng_state.pth
14.3 kB
- Xet hash:
- a885d49964bee5ce2d7b48ebd63685c85d72948ac2159c2829487723882135c1
- Size of remote file:
- 14.3 kB
- SHA256:
- b575be73fd71d48db82ca498e9fa4b242996ff9b6170c2a7e5b35193768dae3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.