Instructions to use codegenstudio/codegen-350M-sql2nosql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegenstudio/codegen-350M-sql2nosql-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-sql2nosql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b020baf0a9dcb4e637e7d1689f750efef320e014bbead6ed49a9109c8308b68f
- Size of remote file:
- 84 MB
- SHA256:
- 184d01e8e2421af46f8a4147882138bd3b8afc4df0c4c58140c17c03fc56ac3c
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