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Stopwolf
/
embedic-m2v-large

Model2Vec
Safetensors
sentence-transformers
multilingual
English
Serbian
embeddings
static-embeddings
Model card Files Files and versions
xet
Community

Instructions to use Stopwolf/embedic-m2v-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Model2Vec

    How to use Stopwolf/embedic-m2v-large with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("Stopwolf/embedic-m2v-large")
  • sentence-transformers

    How to use Stopwolf/embedic-m2v-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Stopwolf/embedic-m2v-large")
    
    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
embedic-m2v-large
139 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Stopwolf's picture
Stopwolf
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6806ff1 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.95 kB
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  • config.json
    314 Bytes
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  • model.safetensors
    130 MB
    xet
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  • modules.json
    278 Bytes
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  • tokenizer.json
    9.09 MB
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