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MongoDB
/
voyage-4-nano

Feature Extraction
sentence-transformers
Safetensors
Transformers
multilingual
qwen3
text-generation
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
18

Instructions to use MongoDB/voyage-4-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use MongoDB/voyage-4-nano with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("MongoDB/voyage-4-nano", 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]
  • Transformers

    How to use MongoDB/voyage-4-nano with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MongoDB/voyage-4-nano", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("MongoDB/voyage-4-nano", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("MongoDB/voyage-4-nano", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

"architectures" field in "config.json" breaks vLLM embedding support

1
#9 opened 6 months ago by
Ianniu

Unable to serve through text-embeddings-inference framework

1
#7 opened 9 months ago by
doosaganesh

Alt modeling code

5
#5 opened 10 months ago by
michaelfeil
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