Instructions to use lleticiasilvaa/StableCode-schemaLinking-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-schemaLinking-parser with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-schemaLinking-parser", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2b757b5682c48938472937a42c8ff5364870beda2e08c6e37db9ced05d67e7e
- Size of remote file:
- 204 MB
- SHA256:
- 3f1847ae6b8b30792f3186ed2adeb2527ef3aa258ee4a1bdf7a45f4eba17f191
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.