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DHOM-Uni
/
FAQ-Ai-Assistant-V1

Text Ranking
sentence-transformers
Safetensors
electra
cross-encoder
Generated from Trainer
dataset_size:4800
loss:BinaryCrossEntropyLoss
Model card Files Files and versions
xet
Community

Instructions to use DHOM-Uni/FAQ-Ai-Assistant-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use DHOM-Uni/FAQ-Ai-Assistant-V1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("DHOM-Uni/FAQ-Ai-Assistant-V1")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
FAQ-Ai-Assistant-V1
543 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
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DHOM-Uni
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  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    15.7 kB
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  • config.json
    983 Bytes
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  • model.safetensors
    541 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    1.78 MB
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  • tokenizer_config.json
    1.54 kB
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  • vocab.txt
    761 kB
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