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ATH-MaaS
/
Ovis-VL-Embedding-2B

Feature Extraction
Transformers
Safetensors
qwen3_5
image-text-to-text
multimodal
text
image
video
visual-document
embedding
retrieval
Model card Files Files and versions
xet
Community

Instructions to use ATH-MaaS/Ovis-VL-Embedding-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ATH-MaaS/Ovis-VL-Embedding-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ATH-MaaS/Ovis-VL-Embedding-2B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("ATH-MaaS/Ovis-VL-Embedding-2B")
    model = AutoModelForMultimodalLM.from_pretrained("ATH-MaaS/Ovis-VL-Embedding-2B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ovis-VL-Embedding-2B / figures
2.41 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
kevinke's picture
kevinke
Add structured model and figures directories
2dfeee9 verified 5 days ago
  • ovis_blog_table3.pdf
    482 kB
    xet
    Add structured model and figures directories 5 days ago
  • ovis_blog_table3.png
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    xet
    Add structured model and figures directories 5 days ago
  • ovis_embedding_data_centric.png
    730 kB
    xet
    Add structured model and figures directories 5 days ago
  • ovis_embedding_model_architecture.png
    401 kB
    xet
    Add structured model and figures directories 5 days ago
  • ovis_embedding_train_inference.png
    414 kB
    xet
    Add structured model and figures directories 5 days ago
  • ovis_logo.png
    85.5 kB
    Add structured model and figures directories 5 days ago