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Horizon-Labs
/
multilingual-embedding-base

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
modernbert
feature-extraction
embeddings
retrieval
bge-m3
distillation
mmbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Horizon-Labs/multilingual-embedding-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Horizon-Labs/multilingual-embedding-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Horizon-Labs/multilingual-embedding-base")
    
    sentences = [
        "How tall is the Eiffel Tower?",
        "La tour Eiffel mesure 330 mètres.",
        "Der Eiffelturm ist das höchste Bauwerk von Paris.",
        "The Statue of Liberty is 93 metres tall.",
        "Ich esse gern Pizza."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [5, 5]
  • Transformers.js

    How to use Horizon-Labs/multilingual-embedding-base with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'Horizon-Labs/multilingual-embedding-base');
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-embedding-base
3.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Horizon-Labs's picture
Horizon-Labs
Card: leaderboard link
02e8d8b verified about 10 hours ago
  • 1_Pooling
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • 2_Dense
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • code
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • eval
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • onnx
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • training
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • .gitattributes
    1.57 kB
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • README.md
    6.18 kB
    Card: leaderboard link about 10 hours ago
  • config.json
    1.9 kB
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • config_sentence_transformers.json
    76 Bytes
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • model.safetensors
    1.23 GB
    xet
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • modules.json
    421 Bytes
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • sentence_bert_config.json
    47 Bytes
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • special_tokens_map.json
    636 Bytes
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • tokenizer.json
    34.4 MB
    xet
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago
  • tokenizer_config.json
    46.4 kB
    Multilingual embedding base v1.0 (bge-m3 compatible) 1 day ago