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rasyosef
/
reranker-amharic-base

Text Ranking
sentence-transformers
Safetensors
Amharic
xlm-roberta
cross-encoder
Generated from Trainer
dataset_size:491752
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use rasyosef/reranker-amharic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use rasyosef/reranker-amharic-base with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("rasyosef/reranker-amharic-base")
    
    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
reranker-amharic-base
445 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
rasyosef's picture
rasyosef
nielsr's picture
nielsr HF Staff
Add paper and code links to model card (#1)
6e81b32 about 8 hours ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    19.1 kB
    Add paper and code links to model card (#1) about 8 hours ago
  • config.json
    876 Bytes
    Add new CrossEncoder model 11 months ago
  • model.safetensors
    442 MB
    xet
    Add new CrossEncoder model 11 months ago
  • special_tokens_map.json
    964 Bytes
    Add new CrossEncoder model 11 months ago
  • tokenizer.json
    2.56 MB
    Add new CrossEncoder model 11 months ago
  • tokenizer_config.json
    1.18 kB
    Add new CrossEncoder model 11 months ago