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KennethTM
/
MiniLM-L6-danish-reranker

Text Ranking
sentence-transformers
PyTorch
Safetensors
Danish
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use KennethTM/MiniLM-L6-danish-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KennethTM/MiniLM-L6-danish-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("KennethTM/MiniLM-L6-danish-reranker")
    
    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
MiniLM-L6-danish-reranker
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  • 3 contributors
History: 11 commits
KennethTM's picture
KennethTM
tomaarsen's picture
tomaarsen HF Staff
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers` (#2)
acc6003 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.28 kB
    Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers` (#2) about 1 year ago
  • config.json
    852 Bytes
    initial comiit over 2 years ago
  • model.safetensors
    90.9 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    90.9 MB
    xet
    initial comiit over 2 years ago
  • special_tokens_map.json
    125 Bytes
    initial comiit over 2 years ago
  • tokenizer.json
    725 kB
    initial comiit over 2 years ago
  • tokenizer_config.json
    294 Bytes
    initial comiit over 2 years ago