Instructions to use Vasanth/gemma-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vasanth/gemma-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "Vasanth/gemma-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Vasanth/gemma-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Vasanth/gemma-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://Vasanth/gemma-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Vasanth/gemma-sql/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 83092166f8d3ed8940948a6082717a569d1a40fb2ad1d3a44d7e276823d0cf5b
- Size of remote file:
- 4.92 kB
- SHA256:
- 80345c8d21b21ee467420a7ca7bb476b177cde88349040dd89fc37a4a39ca4c2
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