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
File size: 371 Bytes
aa7758f | 1 2 3 4 5 6 7 8 9 10 11 12 | #!/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())
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