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allura-forge
/
ernie-2.0-base-en-SLOPvsPEAK

Text Classification
sentence-transformers
Safetensors
ernie
cross-encoder
reranker
Generated from Trainer
dataset_size:3922
loss:CrossEntropyLoss
Model card Files Files and versions
xet
Community

Instructions to use allura-forge/ernie-2.0-base-en-SLOPvsPEAK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use allura-forge/ernie-2.0-base-en-SLOPvsPEAK with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("allura-forge/ernie-2.0-base-en-SLOPvsPEAK")
    
    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
ernie-2.0-base-en-SLOPvsPEAK
439 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Fizzarolli's picture
Fizzarolli
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
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  • config.json
    849 Bytes
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  • config_sentence_transformers.json
    258 Bytes
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  • label_mapping.json
    29 Bytes
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  • metrics.json
    1.13 kB
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    131 Bytes
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  • sentence_bert_config.json
    225 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    382 Bytes
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