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Nobris
/
lt-nobris-en

Sentence Similarity
sentence-transformers
Safetensors
English
Chinese
Russian
mpnet
feature-extraction
entity-resolution
research-security
export-control
sanctions-screening
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Nobris/lt-nobris-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Nobris/lt-nobris-en with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Nobris/lt-nobris-en")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
lt-nobris-en
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
w-nobris's picture
w-nobris
Update model card with full datasheet
1940655 verified about 2 months ago
  • 1_Pooling
    Add new SentenceTransformer model about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    13 kB
    Update model card with full datasheet about 2 months ago
  • config.json
    599 Bytes
    Add new SentenceTransformer model about 2 months ago
  • config_sentence_transformers.json
    308 Bytes
    Add new SentenceTransformer model about 2 months ago
  • model.safetensors
    438 MB
    xet
    Add new SentenceTransformer model about 2 months ago
  • modules.json
    242 Bytes
    Add new SentenceTransformer model about 2 months ago
  • sentence_bert_config.json
    60 Bytes
    Add new SentenceTransformer model about 2 months ago
  • tokenizer.json
    712 kB
    Add new SentenceTransformer model about 2 months ago
  • tokenizer_config.json
    619 Bytes
    Add new SentenceTransformer model about 2 months ago