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NGA-KR
/
ja-embed-sts

Sentence Similarity
sentence-transformers
Safetensors
Korean
English
bert
embedding
retrieval
mteb
korean
Model card Files Files and versions
xet
Community

Instructions to use NGA-KR/ja-embed-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NGA-KR/ja-embed-sts with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NGA-KR/ja-embed-sts")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
ja-embed-sts
1.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nga-leo's picture
nga-leo
Upload tokenizer_config.json with huggingface_hub
3f7bb71 verified about 17 hours ago
  • 1_Pooling
    Add model about 18 hours ago
  • 2_Normalize
    Add model about 18 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 18 hours ago
  • README.md
    1.72 kB
    Add model about 18 hours ago
  • config.json
    713 Bytes
    Add model about 18 hours ago
  • config_sentence_transformers.json
    299 Bytes
    Add model about 18 hours ago
  • model.safetensors
    1.35 GB
    xet
    Add model about 18 hours ago
  • modules.json
    413 Bytes
    Add model about 18 hours ago
  • sentence_bert_config.json
    241 Bytes
    Add model about 18 hours ago
  • tokenizer_config.json
    1.47 kB
    Upload tokenizer_config.json with huggingface_hub about 17 hours ago
  • vocab.txt
    231 kB
    Add model about 18 hours ago