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pujithapsx
/
address-crossencoder-stsb-roberta-large-finetuned

Text Ranking
sentence-transformers
Safetensors
cross-encoder
reranker
Generated from Trainer
dataset_size:1122
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use pujithapsx/address-crossencoder-stsb-roberta-large-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use pujithapsx/address-crossencoder-stsb-roberta-large-finetuned with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("pujithapsx/address-crossencoder-stsb-roberta-large-finetuned")
    
    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
address-crossencoder-stsb-roberta-large-finetuned
17.2 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
pujithapsx's picture
pujithapsx
Add new CrossEncoder model
e2547e6 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    17 kB
    Add new CrossEncoder model about 2 months ago
  • adapter_config.json
    1.07 kB
    Add new CrossEncoder model about 2 months ago
  • adapter_model.safetensors
    13.7 MB
    xet
    Add new CrossEncoder model about 2 months ago
  • tokenizer.json
    3.56 MB
    Add new CrossEncoder model about 2 months ago
  • tokenizer_config.json
    449 Bytes
    Add new CrossEncoder model about 2 months ago