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cnmoro
/
static-nomic-384-pten

Feature Extraction
sentence-transformers
Safetensors
Model2Vec
English
Portuguese
mteb
embeddings
static-embeddings
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use cnmoro/static-nomic-384-pten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use cnmoro/static-nomic-384-pten with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("cnmoro/static-nomic-384-pten")
    
    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]
  • Model2Vec

    How to use cnmoro/static-nomic-384-pten with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("cnmoro/static-nomic-384-pten")
  • Notebooks
  • Google Colab
  • Kaggle
static-nomic-384-pten
62.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
cnmoro's picture
cnmoro
Update README.md
2ed77c7 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    12.6 kB
    Update README.md 2 months ago
  • config.json
    97 Bytes
    Upload 5 files 2 months ago
  • model.safetensors
    52.5 MB
    xet
    Upload 5 files 2 months ago
  • modules.json
    278 Bytes
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  • tokenizer.json
    9.97 MB
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  • training_metadata.json
    92 Bytes
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