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TianmuLab
/
Tianmu-Emb-Uni

Feature Extraction
Transformers
Safetensors
Chinese
English
tianmu_emb_uni_adapter_prototype
multimodal
embedding
retrieval
audio
video
image
text
visdoc
qwen3-vl
mmeb-v3
Model card Files Files and versions
xet
Community

Instructions to use TianmuLab/Tianmu-Emb-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TianmuLab/Tianmu-Emb-Uni with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="TianmuLab/Tianmu-Emb-Uni")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TianmuLab/Tianmu-Emb-Uni", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Tianmu-Emb-Uni
23 GB
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  • 1 contributor
History: 44 commits
MeiQingQing's picture
MeiQingQing
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  • eval
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  • examples
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  • processors
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  • tianmu_model
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  • weights
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  • .gitattributes
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  • FILES.md
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  • LICENSE
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  • README.md
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  • config.json
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors
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  • model.safetensors.index.json
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  • requirements.txt
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