Instructions to use ZhafranR/LLaMA_3.2_3B_Instruct_Text2SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZhafranR/LLaMA_3.2_3B_Instruct_Text2SQL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZhafranR/LLaMA_3.2_3B_Instruct_Text2SQL", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50dea33b86d9b4227b9182a37df110c8626374e64c49abc9a899483129d44ded
- Size of remote file:
- 778 MB
- SHA256:
- a95924a9f807605e225c0fbf9da6d5f38d0ae078f7c6c8794288e8ba58717156
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