Instructions to use JungIn/Text2SQL_with_tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JungIn/Text2SQL_with_tinyllama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "JungIn/Text2SQL_with_tinyllama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 201818e1e09f3a4bf2aeafadbf07e093a6230194eacc84f91a2b2d6695640079
- Size of remote file:
- 4.52 MB
- SHA256:
- c1d56ceee0cfa1ae0b652f6425eaa503b1912aad60e967a95fb372d2edfdba4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.