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:
- 1cd2e54a2ddeb1e215c3432688f4c9fcc54e7500053a2fd211d5f12bc4340545
- Size of remote file:
- 1.47 kB
- SHA256:
- 7ea5af5df7a88767be7b653584ef373a48b667022ff2327b8116f4ae737e77f1
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