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Wakeleyhuh
/
chowder-rerank-minilm

Text Ranking
sentence-transformers
Safetensors
English
bert
cross-encoder
reranker
Generated from Trainer
dataset_size:424009
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Wakeleyhuh/chowder-rerank-minilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Wakeleyhuh/chowder-rerank-minilm with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Wakeleyhuh/chowder-rerank-minilm")
    
    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
chowder-rerank-minilm
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Wakeleyhuh's picture
Wakeleyhuh
v2: full-corpus hard negatives (72,764 pairs, arxiv+journal)
8634060 verified about 11 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 13 hours ago
  • README.md
    50.5 kB
    v2: full-corpus hard negatives (72,764 pairs, arxiv+journal) about 11 hours ago
  • config.json
    880 Bytes
    Add new CrossEncoder model about 13 hours ago
  • config_sentence_transformers.json
    269 Bytes
    Add new CrossEncoder model about 13 hours ago
  • model.safetensors
    90.9 MB
    xet
    v2: full-corpus hard negatives (72,764 pairs, arxiv+journal) about 11 hours ago
  • modules.json
    138 Bytes
    Add new CrossEncoder model about 13 hours ago
  • sentence_bert_config.json
    234 Bytes
    Add new CrossEncoder model about 13 hours ago
  • tokenizer.json
    712 kB
    Add new CrossEncoder model about 13 hours ago
  • tokenizer_config.json
    461 Bytes
    Add new CrossEncoder model about 13 hours ago