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MarcGrumpyOlejak
/
sts-mrl-en-de-base-v1

Sentence Similarity
sentence-transformers
Safetensors
German
English
feature-extraction
Generated from Trainer
dataset_size:16753490
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Model card Files Files and versions
xet
Community

Instructions to use MarcGrumpyOlejak/sts-mrl-en-de-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use MarcGrumpyOlejak/sts-mrl-en-de-base-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("MarcGrumpyOlejak/sts-mrl-en-de-base-v1")
    
    sentences = [
        "Das ist eine glückliche Person",
        "Das ist ein glücklicher Hund",
        "Das ist eine sehr glückliche Person",
        "Heute ist ein sonniger Tag"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
sts-mrl-en-de-base-v1
257 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
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MarcGrumpyOlejak
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  • tokenizer.json
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  • train_base.py
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