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
- Xet hash:
- 62d3295a17d907d2f0b2fe473dde38f60642d028735995bdcd3dcb8a8618bcbd
- Size of remote file:
- 870 MB
- SHA256:
- 6fe19f1d6f85b14bfcb936cdbd8eb6edea9d00f4a391d38afa18344b4c78b1d8
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