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:
- 83c5aed73f820e20f8011efed9b86f2dab952a65936bfabf65c43a1e7e68f431
- Size of remote file:
- 7.38 MB
- SHA256:
- a4bf5bbf9cbeb56c50e8b91e53923201aba385832c2e3ac8438eefa993c249b4
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