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sentence-transformers-testing
/
all-nli-bert-tiny-dense

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:277277
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sentence-transformers-testing/all-nli-bert-tiny-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sentence-transformers-testing/all-nli-bert-tiny-dense with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sentence-transformers-testing/all-nli-bert-tiny-dense")
    
    sentences = [
        "Tall man being stopped by an officer.",
        "The man is short.",
        "There is a tall man.",
        "Male in brown leather jacket and tight black slacks, looking down at his phone"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
all-nli-bert-tiny-dense / 2_Dense
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  • 1 contributor
History: 1 commit
tomaarsen's picture
tomaarsen HF Staff
Add new SentenceTransformer model.
247f25d verified over 1 year ago
  • config.json
    114 Bytes
    Add new SentenceTransformer model. over 1 year ago
  • model.safetensors
    132 kB
    xet
    Add new SentenceTransformer model. over 1 year ago