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G37A
/
Qwen3-Embedding-0.6B-80k-squad

Sentence Similarity
sentence-transformers
Safetensors
Ukrainian
qwen3
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use G37A/Qwen3-Embedding-0.6B-80k-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use G37A/Qwen3-Embedding-0.6B-80k-squad with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("G37A/Qwen3-Embedding-0.6B-80k-squad")
    
    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
Qwen3-Embedding-0.6B-80k-squad
1.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
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nuinashco
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  • .gitattributes
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  • README.md
    681 Bytes
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  • chat_template.jinja
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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