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-900/adapter_model.safetensors from lleticiasilvaa/StableCode-text2SQL-withoutquantization: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-900/adapter_model.safetensors
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization/checkpoint-900/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/main/checkpoint-900/adapter_model.safetensors
83.9 MB
- Xet hash:
- 1d3b6a861cea272bc9ce4f0a3c70f43c00cfcafe90ea11abd6066fe53bfff5ed
- Size of remote file:
- 83.9 MB
- SHA256:
- 8829d58d7ac2876779cf08a00e124a081dd723d5e93a3c5c15a729c020231831
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.