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kekeappa
/
kor-static-embedding-128

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-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use kekeappa/kor-static-embedding-128 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("kekeappa/kor-static-embedding-128")
    
    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-128 with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("kekeappa/kor-static-embedding-128")
  • Notebooks
  • Google Colab
  • Kaggle
kor-static-embedding-128
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
kekeappa's picture
kekeappa
Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB)
8e3db42 verified 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    2.5 kB
    Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB) 10 days ago
  • config_sentence_transformers.json
    277 Bytes
    Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB) 10 days ago
  • model.safetensors
    16.4 MB
    xet
    Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB) 10 days ago
  • modules.json
    156 Bytes
    Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB) 10 days ago
  • tokenizer.json
    752 kB
    Initial: kor-static-embedding-128 (Matryoshka 분리, 17MB) 10 days ago