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deepvk
/
USER2-base

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Russian
modernbert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use deepvk/USER2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use deepvk/USER2-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("deepvk/USER2-base")
    
    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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
USER2-base / assets
256 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
Egor Spirin
Upload model and tokenizer
0942cf9 about 1 year ago
  • mrl.png
    134 kB
    xet
    Upload model and tokenizer about 1 year ago
  • training_stages.png
    122 kB
    xet
    Upload model and tokenizer about 1 year ago