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sebastian-reichbauer
/
DistilSPhilBERTa

Sentence Similarity
sentence-transformers
Safetensors
Ancient Greek (to 1453)
Latin
English
roberta
feature-extraction
cross-lingual
historical-nlp
knowledge-distillation
dataset_size:480534
loss:MSELoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sebastian-reichbauer/DistilSPhilBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sebastian-reichbauer/DistilSPhilBERTa with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sebastian-reichbauer/DistilSPhilBERTa")
    
    sentences = [
        "ἐκνεύει πάλιν.",
        "I found out that he was accused concerning questions of their law, but had nothing charged against him deserving of death or chains.",
        "he is drawing back.",
        "In this book I have fully set forth the mechanical methods which I could furnish, and which I thought most useful in times of peace and war."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
DistilSPhilBERTa
549 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
sebastian-reichbauer's picture
sebastian-reichbauer
Update README.md
9c78606 verified 13 days ago
  • 1_Pooling
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  • eval
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  • .gitattributes
    1.52 kB
    initial commit 15 days ago
  • README.md
    6.21 kB
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  • config.json
    625 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • merges.txt
    994 kB
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  • model.safetensors
    541 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    5.36 MB
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  • tokenizer_config.json
    1.44 kB
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  • vocab.json
    1.43 MB
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