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miraa927
/
myfinetunebert

Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:160
loss:MultipleNegativesRankingLoss
Model card Files Files and versions
xet
Community

Instructions to use miraa927/myfinetunebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use miraa927/myfinetunebert with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("miraa927/myfinetunebert")
    
    sentences = [
        "Quelles sont les personnes impliquées et solicitées et leur statut ?",
        "Le programme s’appuie sur une pédagogie expérientielle validée par plus de 150 000 bénéficiaires depuis 10 ans.",
        "Une responsable de programme conçoit les contenus pédagogiques et accompagne les jeunes.",
        "Le Ticket Camp permet aux jeunes de concevoir un projet seul ou en équipe."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
myfinetunebert
91.9 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
miraa927's picture
miraa927
Upload 10 files
679a947 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    13.5 kB
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  • config.json
    305 Bytes
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  • config_sentence_transformers.json
    212 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
    368 Bytes
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  • sentence_bert_config.json
    56 Bytes
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  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    742 kB
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  • tokenizer_config.json
    1.53 kB
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  • vocab.txt
    262 kB
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