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Aathi13
/
finetuned-biencoder-campusbot

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:500
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Aathi13/finetuned-biencoder-campusbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Aathi13/finetuned-biencoder-campusbot with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Aathi13/finetuned-biencoder-campusbot")
    
    sentences = [
        "Can I get academic adjustments for mental health reasons?",
        "Yes, appropriate academic accommodations can be arranged through the disability services office with documentation from mental health professionals.",
        "Yes, many companies conduct online aptitude tests, coding challenges, or domain-specific assessments as part of their selection process.",
        "The hostel offers Wi-Fi, mess services, laundry, and recreational areas."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-biencoder-campusbot
91.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Aathi13's picture
Aathi13
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  • 1_Pooling
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  • .gitattributes
    1.52 kB
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  • README.md
    14.4 kB
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  • config.json
    617 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    90.9 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
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.txt
    232 kB
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