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fredxlpy
/
LuxEmbedder

Sentence Similarity
sentence-transformers
Safetensors
Luxembourgish
Luxembourgish
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use fredxlpy/LuxEmbedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use fredxlpy/LuxEmbedder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("fredxlpy/LuxEmbedder")
    
    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
LuxEmbedder
1.9 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Fred Philippy
update README
ca183db over 1 year ago
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  • .gitattributes
    1.56 kB
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  • README.md
    5.47 kB
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  • config.json
    850 Bytes
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  • config_sentence_transformers.json
    170 Bytes
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  • model.safetensors
    1.88 GB
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  • modules.json
    461 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    13.6 MB
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  • tokenizer_config.json
    1.47 kB
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  • vocab.txt
    5.22 MB
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