Image-to-Text
Transformers
Safetensors
English
reward-model
poster
graphic-design
image-quality-assessment
preference-learning
qwen3-vl
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- assert/posterreward_logo_v1.png +3 -0
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PosterReward-Lite/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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PosterReward_analyser/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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PosterReward-Pairwise/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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PosterReward-Lite/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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PosterReward_analyser/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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PosterReward-Pairwise/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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assert/posterreward_logo_v1.png filter=lfs diff=lfs merge=lfs -text
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assert/posterreward_logo_v1.png
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Git LFS Details
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