Instructions to use SagarKeshave/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 SagarKeshave/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-step-50K-105b") model = PeftModel.from_pretrained(base_model, "SagarKeshave/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71d99802f78fbe98e454dd5c4ec97b6829582a2359812fbc079a59f0470c488e
- Size of remote file:
- 5.5 kB
- SHA256:
- db205938ef4b1ccbf04fe739241c13f9deb3b26a2bfdd15340204443d33d485e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.