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eazzy
/
klue-roberta-base-klue-sts

Sentence Similarity
sentence-transformers
Safetensors
roberta
feature-extraction
dense
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 eazzy/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 eazzy/klue-roberta-base-klue-sts with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("eazzy/klue-roberta-base-klue-sts")
    
    sentences = [
        "제습기 말고 에어컨이랑 선풍기는 같이 쓰도록해",
        "가습기말고 에어컨이랑 선풍기 동시에 틀지 그래?",
        "거실 화장실  침실 어디에서도 아름다운 뷰를 보실 수 있어요",
        "언제 에어컨이 작동하게 되어있니?"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
klue-roberta-base-klue-sts / eval
235 Bytes
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  • 1 contributor
History: 1 commit
eazzy's picture
eazzy
Upload folder using huggingface_hub
975e5a1 verified 10 months ago
  • similarity_evaluation_results.csv
    235 Bytes
    Upload folder using huggingface_hub 10 months ago