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BorisTM
/
starse

Sentence Similarity
sentence-transformers
Safetensors
Russian
feature-extraction
static-embeddings
binary
russian
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use BorisTM/starse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use BorisTM/starse with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("BorisTM/starse")
    
    sentences = [
        "Это счастливый человек",
        "Это счастливая собака",
        "Это очень счастливый человек",
        "Сегодня солнечный день"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
starse
12.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
BorisTM's picture
BorisTM
Clean StaRSE-512 repository state
8ae7fd7 about 8 hours ago
  • 1_Normalize
    Clean StaRSE-512 repository state about 8 hours ago
  • assets
    Clean StaRSE-512 repository state about 8 hours ago
  • results
    Clean StaRSE-512 repository state about 8 hours ago
  • .gitattributes
    158 Bytes
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  • LICENSE.txt
    11.4 kB
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  • README.md
    2.3 kB
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  • binary_static_embedding.py
    9.37 kB
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  • binary_static_embedding_config.json
    120 Bytes
    Clean StaRSE-512 repository state about 8 hours ago
  • config_sentence_transformers.json
    162 Bytes
    Clean StaRSE-512 repository state about 8 hours ago
  • model.safetensors
    8.17 MB
    xet
    Clean StaRSE-512 repository state about 8 hours ago
  • modules.json
    238 Bytes
    Clean StaRSE-512 repository state about 8 hours ago
  • starse_static_meta.json
    556 Bytes
    Clean StaRSE-512 repository state about 8 hours ago
  • tokenizer.json
    3.71 MB
    Clean StaRSE-512 repository state about 8 hours ago