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cnmoro
/
TangledLlama33m-Reranker-EnPt

Text Ranking
sentence-transformers
Safetensors
English
Portuguese
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use cnmoro/TangledLlama33m-Reranker-EnPt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use cnmoro/TangledLlama33m-Reranker-EnPt with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("cnmoro/TangledLlama33m-Reranker-EnPt")
    
    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
TangledLlama33m-Reranker-EnPt
94.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
cnmoro's picture
cnmoro
tomaarsen's picture
tomaarsen HF Staff
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers` (#1)
6a130d4 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.21 kB
    Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers` (#1) about 1 year ago
  • config.json
    796 Bytes
    Upload 5 files over 1 year ago
  • model.safetensors
    92.2 MB
    xet
    Upload 5 files over 1 year ago
  • special_tokens_map.json
    551 Bytes
    Upload 5 files over 1 year ago
  • tokenizer.json
    2.27 MB
    Upload 5 files over 1 year ago
  • tokenizer_config.json
    23 kB
    Upload 5 files over 1 year ago