Instructions to use pardeephck/dynamicsqlgenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pardeephck/dynamicsqlgenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("pardeephck/dynamicsqlgenerator") model = AutoModelForMultimodalLM.from_pretrained("pardeephck/dynamicsqlgenerator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8dcfc6427a4323bdc80c8838d7a4a01eb60cb1695a39952ba9a605870240f08
- Size of remote file:
- 892 MB
- SHA256:
- b3477c7c42090b0e2972a3fdfe9acbb18487205cabbeeceaa559d33e49ae4dd7
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