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kekeappa
/
kor-static-embedding-512

Sentence Similarity
sentence-transformers
Safetensors
Model2Vec
Korean
feature-extraction
static-embedding
korean
matryoshka
Model card Files Files and versions
xet
Community

Instructions to use kekeappa/kor-static-embedding-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use kekeappa/kor-static-embedding-512 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("kekeappa/kor-static-embedding-512")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Model2Vec

    How to use kekeappa/kor-static-embedding-512 with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("kekeappa/kor-static-embedding-512")
  • Notebooks
  • Google Colab
  • Kaggle
kor-static-embedding-512
66.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kekeappa's picture
kekeappa
Add Matryoshka family table (64/128/256/512)
4f4a4d4 verified 10 days ago
  • 0_StaticEmbedding
    v2: 4-stage training (distill+KorNLI+xlingual+matryoshka) - 64/128/256/512 dims 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    2.5 kB
    Add Matryoshka family table (64/128/256/512) 10 days ago
  • config_sentence_transformers.json
    205 Bytes
    v2: 4-stage training (distill+KorNLI+xlingual+matryoshka) - 64/128/256/512 dims 10 days ago
  • modules.json
    134 Bytes
    Initial upload: kor-static-embedding-512 (KorSTS 0.78, 68MB) 10 days ago