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:
- f012f2a9b7375350c16e89528072ef456b05d629141b974ed117d8b4c121eb13
- Size of remote file:
- 1.47 kB
- SHA256:
- d5734fc5864fa0cf60d0b4b406a8aa9ae252f5431d8cb9b26e34057c079f216b
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