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")
https://huggingface.co/codegenstudio/codegen-350M-text2sql-lora/resolve/21394e2465c6da6059048855c62cebdc9fbb29df/tokenizer.json
hf download hf://codegenstudio/codegen-350M-text2sql-lora@21394e2465c6da6059048855c62cebdc9fbb29df/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/codegenstudio/codegen-350M-text2sql-lora/resolve/21394e2465c6da6059048855c62cebdc9fbb29df/tokenizer.json
