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lingtrain
/
labse-sakha

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:10044
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use lingtrain/labse-sakha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lingtrain/labse-sakha with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lingtrain/labse-sakha")
    
    sentences = [
        "Бу улахан уол туох идэлээх буолуом этэ дии саныыгын? — диир.",
        "Тут проходит поперек свежая тропинка: авось кто-нибудь найдет его, если боги Тангха Джылга. предопределили ему жизнь!»",
        "Вот ты, старший сын, как думаешь, в чем твое призвание? — спрашивает.",
        "Опять удача улыбается им: добывают лису, волка, лося."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
labse-sakha / 2_Dense
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
averoo's picture
averoo
Upload folder using huggingface_hub
28167b5 verified 11 months ago
  • config.json
    114 Bytes
    Upload folder using huggingface_hub 11 months ago
  • model.safetensors
    2.36 MB
    xet
    Upload folder using huggingface_hub 11 months ago