Instructions to use varshithkumar/gemma-finetuned-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use varshithkumar/gemma-finetuned-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "varshithkumar/gemma-finetuned-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 769ea8ce6ce5fa37b35ce9dcdccf65e4987956f39b6fd9112cdf91ee2d9f636c
- Size of remote file:
- 34.4 MB
- SHA256:
- bcace0e59ec7c63f3d8043c419302352d419d63c55e9424b1ec418e67af72696
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