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alphaedge-ai
/
metaclip-2-worldwide-giant-378-lao-16384

Sentence Similarity
sentence-transformers
Safetensors
Lao
metaclip_2
trimmed
🇪🇺 Region: EU
Model card Files Files and versions
xet
Community

Instructions to use alphaedge-ai/metaclip-2-worldwide-giant-378-lao-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use alphaedge-ai/metaclip-2-worldwide-giant-378-lao-16384 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-giant-378-lao-16384")
    
    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
metaclip-2-worldwide-giant-378-lao-16384
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  • 2 contributors
History: 3 commits
lbourdois's picture
lbourdois
Update model card for Lao
67f9671 verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.75 kB
    Update model card for Lao 17 days ago
  • config.json
    1.15 kB
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago
  • model.safetensors
    9.99 GB
    xet
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago
  • preprocessor_config.json
    515 Bytes
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago
  • special_tokens_map.json
    280 Bytes
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago
  • tokenizer.json
    1.06 MB
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago
  • tokenizer_config.json
    1.3 kB
    Trimmed MetaCLIP-2 text vocab for Lao about 1 month ago