Instructions to use sanketrai/qwen-2.5-coder-7b-sql-create-context-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanketrai/qwen-2.5-coder-7b-sql-create-context-qlora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sanketrai/qwen-2.5-coder-7b-sql-create-context-qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa93b247d8e458bea146fc62812d3722c72ca785222150d4cdb8b42303a8c6a0
- Size of remote file:
- 5.69 kB
- SHA256:
- 2713165dabd7307a1e9f335a90caedaa94a04133e49d7f33fda611f37d0ba7c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.