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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c20032ff6a7ff877700207d17eedd8e6cbe543ad2b472349b2f4499db5e93c5e
- Size of remote file:
- 1.62 GB
- SHA256:
- dbcd3c02e56a49f63823254454e2493a70e00edb2b173ea21ca69e760e023d36
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