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
Download tokenizer.json from codegenstudio/codegen-350M-sql2nosql-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/codegenstudio/codegen-350M-sql2nosql-lora/resolve/b31ec90160962ff3d9f5caeee37cba938a9c79f0/tokenizer.json
- Command line
-
hf download hf://codegenstudio/codegen-350M-sql2nosql-lora@b31ec90160962ff3d9f5caeee37cba938a9c79f0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/codegenstudio/codegen-350M-sql2nosql-lora/resolve/b31ec90160962ff3d9f5caeee37cba938a9c79f0/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.