Instructions to use qgfvadfuvads/Q-Prefer-D2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qgfvadfuvads/Q-Prefer-D2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "qgfvadfuvads/Q-Prefer-D2") - Notebooks
- Google Colab
- Kaggle
| #!/usr/bin/env python3 | |
| """Minimal client example for videos on a shared filesystem.""" | |
| from qprefer_reward.client import QPreferHTTPClient | |
| client = QPreferHTTPClient("http://127.0.0.1:18080", api_key="change-me") | |
| scores = client.score_paths( | |
| videos=["/shared/rollouts/example.mp4"], | |
| prompts=["A red fox runs through a snowy forest."], | |
| ) | |
| print(scores.as_dict()) | |