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dndjd03
/
klue-roberta-base-klue-sts

Sentence Similarity
sentence-transformers
Safetensors
roberta
feature-extraction
Generated from Trainer
dataset_size:10501
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dndjd03/klue-roberta-base-klue-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dndjd03/klue-roberta-base-klue-sts with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dndjd03/klue-roberta-base-klue-sts")
    
    sentences = [
        "가급적이면 에어컨보단 선풍기를 쓰자",
        "가습기말고 에어컨을 꼭 필요할때만 켜자",
        "우선, 숙소와 침대에 좋은 향기가 있어서 기분이 좋았습니다.",
        "부엌을 이용하시려는 분들은 참고하시기 바랍니다."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
klue-roberta-base-klue-sts / eval
233 Bytes
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  • 1 contributor
History: 1 commit
dndjd03's picture
dndjd03
Upload folder using huggingface_hub
e0250c7 verified 3 months ago
  • similarity_evaluation_results.csv
    233 Bytes
    Upload folder using huggingface_hub 3 months ago