Instructions to use codegenstudio/codegen-350M-nosql2doc-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegenstudio/codegen-350M-nosql2doc-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-nosql2doc-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81be1c7c98a7895208b1783debbc5abd70624f322667c6c4ffbd4d7f44e375ac
- Size of remote file:
- 1.47 kB
- SHA256:
- 6c94347d64dc2235b6035d81d233c519c36c683c0ab9aeada7031f1f155111b0
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