Instructions to use PrasannaL/SQL-Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PrasannaL/SQL-Coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "PrasannaL/SQL-Coder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728e7133165ea8afef8dd49f99d80ccbf62eadffee228224d6ce15cd4ed6f831
- Size of remote file:
- 134 MB
- SHA256:
- 138c0be55bba10eb0ebca4adaaecabfdd6698919f68f62b654a174cc4ca1da77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.