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baa-ai
/
Merino-Nano

Sentence Similarity
sentence-transformers
Safetensors
baa-embedding-reranker
retrieval
embeddings
reranker
cross-encoder
rag
Model card Files Files and versions
xet
Community

Instructions to use baa-ai/Merino-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use baa-ai/Merino-Nano with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("baa-ai/Merino-Nano")
    
    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
Merino-Nano / reranker
44.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
tomkay's picture
tomkay
baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller)
8329390 verified 10 days ago
  • config.json
    921 Bytes
    baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller) 10 days ago
  • model.safetensors
    44 MB
    xet
    baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller) 10 days ago
  • tokenizer.json
    711 kB
    baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller) 10 days ago
  • tokenizer_config.json
    443 Bytes
    baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller) 10 days ago