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maheen9
/
slo-matching-model

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:30
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use maheen9/slo-matching-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use maheen9/slo-matching-model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("maheen9/slo-matching-model")
    
    sentences = [
        "Why are different fuses used in different devices?",
        "Explain the role of fuses with different ratings in protecting electrical appliances.",
        "Differentiate between electric energy and electric power.",
        "Identify causes and effects of circuit overload."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle

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Gated model
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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • 1_Pooling
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  • README.md
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  • config.json
    642 Bytes
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  • config_sentence_transformers.json
    294 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
    242 Bytes
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  • sentence_bert_config.json
    60 Bytes
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  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.33 kB
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  • vocab.txt
    232 kB
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