Instructions to use Aakali/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 Aakali/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Aakali/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c52a8048ddf3b84f2ce6a4a57c4abb198dae0d6247de73b92c461d7d579fed7
- Size of remote file:
- 1.8 GB
- SHA256:
- 555750c4c39beb8021dcec263fa87455cfcebe90124b5d79623dd8a69406bce7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.