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kiel2
/
KielEmbed-Mini

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use kiel2/KielEmbed-Mini with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("kiel2/KielEmbed-Mini")
    
    sentences = [
        "Name a style of hot yoga.",
        "Bikram.",
        "Tallahassee is the capital of Florida",
        "I want a redhead woman with tattoos and big boobs and a big ass"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
KielEmbed-Mini
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kiel2's picture
kiel2
Update README.md
38a1f38 verified 4 days ago
  • 1_Pooling
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  • 2_Normalize
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  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    7.72 kB
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  • config.json
    745 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
    413 Bytes
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    373 Bytes
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