Instructions to use duyb2207513/qwen-text2sql-lora_rank_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duyb2207513/qwen-text2sql-lora_rank_4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("duyb2207513/qwen-text2sql-lora_rank_4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77f0fc885b0b427adafd3469cd5cbc784feee1bb4095a17f0ab47cdce8f7544e
- Size of remote file:
- 11.4 MB
- SHA256:
- 68f259dbf73263bd208f9e5473dd5ff813f5221466cae69f2100b8714fae7bd9
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