Instructions to use xander-717/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 xander-717/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, "xander-717/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56bab4289ad1f1a3fb818b331c5ac8ae35cb23b5aeecc910b90e284ecef0dc9a
- Size of remote file:
- 4.73 kB
- SHA256:
- 13fe1691e47846b5c46ad12e4172089a6e9dc007319cbbe6d3b512cce2adf72b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.