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jinaai
/
jina-embeddings-v5-omni-small

Feature Extraction
Transformers
Safetensors
sentence-transformers
multilingual
jina_embeddings_v5_omni
image-feature-extraction
embedding
qwen3
jina-embeddings-v5
multimodal
vision
audio
vllm
video
audio-feature-extraction
video-feature-extraction
sentence-similarity
custom_code
🇪🇺 Region: EU
Model card Files Files and versions
xet
Community
2

Instructions to use jinaai/jina-embeddings-v5-omni-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jinaai/jina-embeddings-v5-omni-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jinaai/jina-embeddings-v5-omni-small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jinaai/jina-embeddings-v5-omni-small", trust_remote_code=True, dtype="auto")
  • sentence-transformers

    How to use jinaai/jina-embeddings-v5-omni-small with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("jinaai/jina-embeddings-v5-omni-small", trust_remote_code=True)
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Why does the model take more than 8 minutes to load?

2
#2 opened 2 days ago by
tepirale

No speedup from installing xformers and flash-attn

2
#1 opened 14 days ago by
seedmanc
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