Instructions to use codegenstudio/codegen-350M-text2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegenstudio/codegen-350M-text2sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/working/models/base/Salesforce__codegen-350M-multi") model = PeftModel.from_pretrained(base_model, "codegenstudio/codegen-350M-text2sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b5b3bfecf8e05f2f02852c6cab6a41af5165b33147260c8ceefcfa64f755118
- Size of remote file:
- 42 MB
- SHA256:
- bd79cf6b9b17bd9e9a5fdbd0fb0bf0d349afdb5f32323796739e15c6c17d8831
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