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:
- 59b913f83f7fadf6f11da8268a6b35f1327a7bad76bb7e4354258dd67bc0e44d
- Size of remote file:
- 42 MB
- SHA256:
- ee97b607fe99019cd18c73a003080dac64169935b3a22b37400abc8378c2ff20
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