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Day1Kim
/
Qwen3-Embedding-0.6B-Korean

Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
dense
Generated from Trainer
dataset_size:41881
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Day1Kim/Qwen3-Embedding-0.6B-Korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Day1Kim/Qwen3-Embedding-0.6B-Korean with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Day1Kim/Qwen3-Embedding-0.6B-Korean")
    
    sentences = [
        "얕은 기초의 허용 수평 지지력을 결정할 때 고려해야 하는 주요 요소는 무엇인가?",
        "④계측기간과빈도는측정하고자하는계측값의변화정도및변화의지속시간과관련되며비탈면의파괴속도가빠른경우또는변화가있는경우에는측정빈도를높여측정하여야하고변화가장기간지속되는경우에는측정기간도이에맞춰측정하여야한다 .⑤깎기비탈면의계측기설치위치는비탈면자체및불연속면등에의해이완된암반의거동을충분히고려하고유사한조건하에서계측예를참고로하여선정하여",
        "건설기준제정또는개정에따른경과조치이기준은발간시점부터사용하며,이미시행중에있는설계용역이나건설공사는발주기관의장이필요하다고인정하는경우종전에적용하고있는기준을그대로사용할수있습니다.",
        "(2)강도가크고불연속면의간격이넓으며틈새가작은암반일경우에는양호한암반으로판정하고기초의지지력을산정한다 .(3)강도가작고불연속면의간격이매우좁으며풍화상태가심하거나세편상태인암반은불량한암반으로판정하고기초의지지력을산정한다 .(4)암반의상태를정량적으로등급화하고 ,그에따라등급별로암반의극한지지력을정하여기초를설계할수있다 .(5)암반판정이모호한경우 ,지질학적으로해명이안되는경우 ,암석이심하게교란된경우 ,절리나층리가지표의경사와유사한경우 ,암의표면이 30°이상경사진경우에는암반의지지력결정에유의하여야한다 .4.1.7수평지지력(1)얕은기초의허용수평지지력은 기초저면의전단저항력을적정안전율로나눈값으로하나 ,지표면근처에서안정된지지층을확보할수있는경우에는기초전면에작용하는수동토압을안전율로나눈값을적용하여허용수평지지력으로 고려할수있으며 ,다만 ,수동토압이발휘되기위해서는주동변위의 2~20배가발생하여야하므로수동토압을전부보는것에주의가요구된다 ."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-Embedding-0.6B-Korean
2.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Day1Kim's picture
Day1Kim
Add new SentenceTransformer model
3fe42ca verified 11 months ago
  • 1_Pooling
    Add new SentenceTransformer model 11 months ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model 11 months ago
  • README.md
    275 kB
    Add new SentenceTransformer model 11 months ago
  • added_tokens.json
    707 Bytes
    Add new SentenceTransformer model 11 months ago
  • config.json
    720 Bytes
    Add new SentenceTransformer model 11 months ago
  • config_sentence_transformers.json
    375 Bytes
    Add new SentenceTransformer model 11 months ago
  • merges.txt
    1.67 MB
    Add new SentenceTransformer model 11 months ago
  • model.safetensors
    2.38 GB
    xet
    Add new SentenceTransformer model 11 months ago
  • modules.json
    349 Bytes
    Add new SentenceTransformer model 11 months ago
  • sentence_bert_config.json
    59 Bytes
    Add new SentenceTransformer model 11 months ago
  • special_tokens_map.json
    613 Bytes
    Add new SentenceTransformer model 11 months ago
  • tokenizer.json
    11.4 MB
    xet
    Add new SentenceTransformer model 11 months ago
  • tokenizer_config.json
    9.71 kB
    Add new SentenceTransformer model 11 months ago
  • vocab.json
    2.78 MB
    Add new SentenceTransformer model 11 months ago