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FractalGPT
/
SbertDistilV2

Sentence Similarity
sentence-transformers
Safetensors
Russian
bert
feature-extraction
embeddings
distillation
nli
masl
task-specification
agent
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use FractalGPT/SbertDistilV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use FractalGPT/SbertDistilV2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("FractalGPT/SbertDistilV2")
    
    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
SbertDistilV2
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Ponimash's picture
Ponimash
Update README.md
d7aec75 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    11.8 kB
    Update README.md 3 months ago
  • config.json
    762 Bytes
    Distilled from multilingual-e5-large-instruct 3 months ago
  • model.safetensors
    47.1 MB
    xet
    Distilled from multilingual-e5-large-instruct 3 months ago
  • tokenizer.json
    706 kB
    Tokenizer from SbertDistil 3 months ago
  • tokenizer_config.json
    606 Bytes
    Tokenizer from SbertDistil 3 months ago