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abulte
/
top2vec-datagouvfr

sentence-transformers
Model card Files Files and versions
xet
Community

Instructions to use abulte/top2vec-datagouvfr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use abulte/top2vec-datagouvfr with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("abulte/top2vec-datagouvfr")
    
    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
top2vec-datagouvfr
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
abulte's picture
abulte
update readme
5d35896 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    118 Bytes
    update readme over 2 years ago
  • top2vec_distiluse-base-multilingual-cased.bin
    118 MB
    xet
    Upload top2vec_distiluse-base-multilingual-cased.bin over 2 years ago