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-2500/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-2500/rng_state.pth
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization2/checkpoint-2500/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-2500/rng_state.pth
14.3 kB
- Xet hash:
- 21c35df66e4423c5cbc83b7b0087b93a8c6f1009d734ad3a1317cd3ba329d8f4
- Size of remote file:
- 14.3 kB
- SHA256:
- aefc127330d9855689c06125d35312c92a37b64dbb1f3f2372464a2b0e5344f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.