Instructions to use lleticiasilvaa/StableCode-schemaLinking-min with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-schemaLinking-min with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-schemaLinking-min", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05cc2189db0b4ef83e6e440ace43236228fa029836e24ff51f8511ed66e6e0ee
- Size of remote file:
- 205 MB
- SHA256:
- 1a685ec1f6c7c67c7830007f3587e72ebac1e7c31f7a3edd5a3839193396f7d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.