AVC-Reward

Event-Centric Audio-Video Consistency Evaluation · Full reward-model checkpoint.

📄 arXiv · 🌐 Project Page · 💻 GitHub · 🤗 Benchmark · 🤗 Generation LoRA

Download

hf download Tsuki0512/AVC-Reward --local-dir checkpoints/AVC-Reward

Inference

From the GitHub repository, after setting up the environment:

export MODEL_DIR="$PWD/checkpoints/AVC-Reward"
export CUDA_VISIBLE_DEVICES=0
export TENSOR_PARALLEL_SIZE=1
export ALLOWED_LOCAL_MEDIA_PATH="/absolute/path/to/media"
bash reward_model/code/start_reward_vllm.sh

In another terminal:

python reward_model/code/reward_model_inference.py \
  --input /absolute/path/to/manifest.jsonl \
  --output-jsonl outputs/reward_scores.jsonl \
  --endpoint http://127.0.0.1:8901/v1/chat/completions \
  --model reward_model

Environment and full commands

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