Instructions to use catslashbin/Qwen2-VL-Reward-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catslashbin/Qwen2-VL-Reward-2B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("catslashbin/Qwen2-VL-Reward-2B") model = AutoModel.from_pretrained("catslashbin/Qwen2-VL-Reward-2B") - Notebooks
- Google Colab
- Kaggle
Qwen2-VL Finetuned as Reward Model. Achieves 63.12% on VL-RewardBench.
Code: https://github.com/catslashbin/qwen2-vl-reward
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