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MeiGen-AI
/
PosterReward_v1

Image-to-Text
Transformers
Safetensors
English
reward-model
poster
graphic-design
image-quality-assessment
preference-learning
qwen3-vl
Model card Files Files and versions
xet
Community

Instructions to use MeiGen-AI/PosterReward_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MeiGen-AI/PosterReward_v1 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="MeiGen-AI/PosterReward_v1")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MeiGen-AI/PosterReward_v1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PosterReward_v1
52.7 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
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alexlai2860
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  • PosterReward-Lite
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  • PosterReward_analyser
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  • PosterReward_scorer
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  • assert
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  • .gitattributes
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  • PRB_advanced_images.tar.gz
    870 MB
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  • PRB_basic_images.tar.gz
    1.62 GB
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  • README.md
    4.57 kB
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