Instructions to use abhinavkulkarni/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abhinavkulkarni/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "abhinavkulkarni/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f1bc68d6688337a3faf6275dfc2641ee8164a34eef6027a52e6a1a411484ee
- Size of remote file:
- 17.2 MB
- SHA256:
- 510d12ec255f4cb0304aa5428d699c354c1a49696b427a2748a7b03bb7bbb575
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