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Gameselo
/
STS-multilingual-mpnet-base-v2

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
mteb
feature-extraction
dataset_size:100K<n<1M
loss:AnglELoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use Gameselo/STS-multilingual-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Gameselo/STS-multilingual-mpnet-base-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Gameselo/STS-multilingual-mpnet-base-v2")
    
    sentences = [
        "有些人在路上溜达。",
        "Folk går",
        "Otururken gitar çalan adam.",
        "ארה\"ב קבעה שסוריה השתמשה בנשק כימי"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
STS-multilingual-mpnet-base-v2
1.13 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
Gameselo's picture
Gameselo
Update README.md
449f917 verified almost 2 years ago
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    1.11 GB
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  • modules.json
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  • sentence_bert_config.json
    53 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.34 kB
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