Instructions to use ptrc/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ptrc/gemma-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "ptrc/gemma-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b49d6ea1320457a048c2ef8591c233131b4f43697731c12d1f6e143433cf2b8
- Size of remote file:
- 5.62 kB
- SHA256:
- 75556ac646dc353faca1dbf08fa1833e9d618baa85d8f6f3f75e9e2ba83d3bc5
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