Instructions to use philschmid/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 philschmid/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "philschmid/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a508e3b3ef5be13c76f1526e1937c7d1140739a5bdde943e420aed64d1f31a
- Size of remote file:
- 1.8 GB
- SHA256:
- 7ddc8e3fcfb36ce0c14f1e3d9965cd615b7f11dcb4e38ddc57c04666b868f7e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.