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:
- b24818e3ed0b1dc13bb7d1ea9393f3f32f667dd645eafeee11bfc4d9cab7ebfa
- Size of remote file:
- 5.84 kB
- SHA256:
- 2350592d6176e1137e9e5000ddaae8bcace4a32263a7e4abe5cae8ea3d5bbe86
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