Instructions to use trongg/sqlcoder-7b-2-e954b382-f9e8-46a7-a3a9-abfad0664230 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trongg/sqlcoder-7b-2-e954b382-f9e8-46a7-a3a9-abfad0664230 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trongg/sqlcoder-7b-2-e954b382-f9e8-46a7-a3a9-abfad0664230", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e093fcb56abc089239b1ac91f8d382df8cd7275ac8578707045344dfa1e1afc8
- Size of remote file:
- 6.07 kB
- SHA256:
- ecc125e5e0c2c63e38f9c0487e569ae7ea455125fc5077c87a84f42a98ff4292
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