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:
- d4f6bb8edd15e1c78a50c1588cba4587fa250389e9ee9f7c830b4b1e134b7796
- Size of remote file:
- 14.6 kB
- SHA256:
- a103ee63da4304e0c3e6bf8c37e9987caf868f0c2dcdb6d3aaca72ff4654fd45
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