Instructions to use Raiff1982/Codette2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Raiff1982/Codette2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Raiff1982/Codette2", set_active=True) - Notebooks
- Google Colab
- Kaggle
| from fastapi import FastAPI | |
| from pydantic import BaseModel | |
| from codette.codette_core import AICore | |
| app = FastAPI() | |
| codette = AICore() | |
| class PromptRequest(BaseModel): | |
| prompt: str | |
| def respond(prompt_request: PromptRequest): | |
| result = codette.process_input(prompt_request.prompt) | |
| return {"response": result} | |