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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 / eval
14.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
sebastian-reichbauer's picture
sebastian-reichbauer
Upload folder using huggingface_hub
694ece3 verified 15 days ago
  • mse_evaluation_grc-lat_results.csv
    5.42 kB
    Upload folder using huggingface_hub 15 days ago
  • translation_evaluation_grc-lat_results.csv
    9.42 kB
    Upload folder using huggingface_hub 15 days ago