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:
- b8ab4655b994b975965c25c3ee2fe8d25199165fc9d8936430a9fe21abbf6b14
- Size of remote file:
- 84 MB
- SHA256:
- 9535db1a16c7675dbefad6ec6ed0a74fec610b7fcf805576a445be7112bc0814
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