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Alibaba-NLP
/
UEmbed-9B

Feature Extraction
Transformers
Safetensors
qwen3_5
image-text-to-text
embeddings
multimodal
retrieval
sparse-retrieval
splade
dense-retrieval
vision
Model card Files Files and versions
xet
Community

Instructions to use Alibaba-NLP/UEmbed-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Alibaba-NLP/UEmbed-9B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Alibaba-NLP/UEmbed-9B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Alibaba-NLP/UEmbed-9B")
    model = AutoModelForMultimodalLM.from_pretrained("Alibaba-NLP/UEmbed-9B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
UEmbed-9B / examples
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  • 1 contributor
History: 1 commit
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songtingyu
Update README.md.
ea380ef verified 3 days ago
  • transformers_example.py
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    Update README.md. 3 days ago
  • vllm_example.py
    6.57 kB
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