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impresso-project
/
histlux_ocr_error_denoising_lrec

Sentence Similarity
sentence-transformers
Safetensors
Luxembourgish
new
dataset_size:120000
multilingual
custom_code
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use impresso-project/histlux_ocr_error_denoising_lrec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use impresso-project/histlux_ocr_error_denoising_lrec with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("impresso-project/histlux_ocr_error_denoising_lrec", trust_remote_code=True)
    
    sentences = [
        "Who is filming along?",
        "Wién filmt mat?",
        "Weider huet den Tatarescu drop higewisen, datt Rumänien durch seng krichsbedélegong op de 6eite vun den allie'erten 110.000 mann verluer hätt.",
        "Brambilla 130.08.03 St."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
histlux_ocr_error_denoising_lrec
1.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Andrianos's picture
Andrianos
Added source_model_id
4445aa1 verified 5 months ago
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • configuration.py
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  • model.safetensors
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  • modeling.py
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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