Instructions to use lam2/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use lam2/text2sql with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from lam2/text2sql: direct link, hf CLI and curl.
- Browser
- Download file 229 Bytes
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https://huggingface.co/lam2/text2sql/resolve/main/README.md
- Command line
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hf download hf://lam2/text2sql/README.md
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curl -L -o README.md https://huggingface.co/lam2/text2sql/resolve/main/README.md
229 Bytes
| tags: | |
| - pytorch | |
| - onnx | |
| - tensorrt | |
| - vllm | |
| inference_providers: | |
| - PyTorch | |
| - ONNXRuntime | |
| - TensorRT | |
| - vLLM | |
| --- | |
| # Text-to-SQL Model | |
| This is a fine-tuned model for converting natural language questions into SQL queries. | |