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kiel2
/
Kiel-3-Poly

Feature Extraction
sentence-transformers
Safetensors
multilingual
English
qwen2
embedding
code-search
security
qwen2.5
unsloth
qlora
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kiel2/Kiel-3-Poly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use kiel2/Kiel-3-Poly with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("kiel2/Kiel-3-Poly")
    
    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
  • Local Apps Settings
  • Unsloth Desktop
Kiel-3-Poly
6.18 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kiel2's picture
kiel2
Update README.md
edaddfd verified about 16 hours ago
  • 1_Pooling
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  • .gitattributes
    1.57 kB
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  • README.md
    3.34 kB
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  • chat_template.jinja
    2.51 kB
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  • config.json
    1.76 kB
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  • config_sentence_transformers.json
    461 Bytes
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  • model-00001-of-00002.safetensors
    3.97 GB
    xet
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  • model-00002-of-00002.safetensors
    2.2 GB
    xet
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  • model.safetensors.index.json
    35.6 kB
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  • modules.json
    429 Bytes
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  • sentence_bert_config.json
    446 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    7.22 kB
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