Instructions to use LijinDurairaj/tinyLlama-text2SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LijinDurairaj/tinyLlama-text2SQL 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, "LijinDurairaj/tinyLlama-text2SQL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 768355f78817b17e509655a65d44c3245bdacc6a23cf1fea1f1dfb09b4aa7019
- Size of remote file:
- 5.56 kB
- SHA256:
- 8f63a4c251fcbdb587f3b66634c5cb468d2c7d24605ad4cb770ca0e96a309489
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.