Instructions to use dzlab/gemma-2b-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzlab/gemma-2b-text2sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dzlab/gemma-2b-text2sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1c03103effccaafcc9814a4b267c0c3de391e8f2d49d1ea9ec5c4c0037b3b44
- Size of remote file:
- 3.21 GB
- SHA256:
- ca53634dbc74c9d48022457cd28ef82a8faa6ebde4f6fe44cf1f034dfac32d49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.