Instructions to use flagmansupport/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 flagmansupport/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "flagmansupport/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75e8812757652d57e5be06e7c2cb60e102ac48252eefe702d443ee7bc5896298
- Size of remote file:
- 4.73 kB
- SHA256:
- 73d9668d1be4a0046c81f01383f8cbc6707b19ee316872793b0cb21a9e88a957
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.