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-250/adapter_model.safetensors from lleticiasilvaa/StableCode-text2SQL-withoutquantization2: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-250/adapter_model.safetensors
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization2/checkpoint-250/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/main/checkpoint-250/adapter_model.safetensors
83.9 MB
- Xet hash:
- c659c44a46be29ad2c9318eb0263a06c55d74c7028a19f6b59c3fd16850debda
- Size of remote file:
- 83.9 MB
- SHA256:
- 4ccfa04602a03b2cfe528a401144210d62951221c94ef0f66629e3a0e012d2a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.