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CocoRoF
/
lo_SimCSE_test

Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
Generated from Trainer
dataset_size:392702
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CocoRoF/lo_SimCSE_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use CocoRoF/lo_SimCSE_test with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("CocoRoF/lo_SimCSE_test")
    
    sentences = [
        "우리는 움직이는 동행 우주 정지 좌표계에 비례하여 이동하고 있습니다 ... 약 371km / s에서 별자리 leo 쪽으로. \"",
        "두 마리의 독수리가 가지에 앉는다.",
        "다른 물체와는 관련이 없는 '정지'는 없다.",
        "소녀는 버스의 열린 문 앞에 서 있다."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
lo_SimCSE_test
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
CocoRoF's picture
CocoRoF
Update README.md
a23d664 verified over 1 year ago
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