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moca-embed
/
MoCa-Qwen25VL-7B

Zero-Shot Image Classification
Transformers
Safetensors
English
qwen2_5_vl
mmeb
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use moca-embed/MoCa-Qwen25VL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moca-embed/MoCa-Qwen25VL-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="moca-embed/MoCa-Qwen25VL-7B")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, Qwen2_5ForEmbedding
    
    processor = AutoProcessor.from_pretrained("moca-embed/MoCa-Qwen25VL-7B")
    model = Qwen2_5ForEmbedding.from_pretrained("moca-embed/MoCa-Qwen25VL-7B")
  • Notebooks
  • Google Colab
  • Kaggle
MoCa-Qwen25VL-7B
16.6 GB
Ctrl+K
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  • 1 contributor
History: 29 commits
Haon-Chen's picture
Haon-Chen
update README
611a540 11 months ago
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  • generation_config.json
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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