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:
- f4aaab69ed8c346c1586c88a39f9b2044ad49a7c71a617b066b997fdef862ac2
- Size of remote file:
- 5.84 kB
- SHA256:
- f689d1de06af64c495598bb567c4f842f4f07ab23b514bdea9a9200122abf7d6
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