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:
- f316eb0ee1edad291a40a30d29a15bc31b6ac0a8bf42fd26eb7fb657c6706057
- Size of remote file:
- 205 MB
- SHA256:
- 0bd9490e36d1d39f53e348106488345469e603bea4fcdc7c39f8c90e174f9ab2
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