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baa-ai
/
Merino-Pro-4bit

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

Instructions to use baa-ai/Merino-Pro-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use baa-ai/Merino-Pro-4bit with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("baa-ai/Merino-Pro-4bit")
    
    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-Pro-4bit
910 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
tomkay's picture
tomkay
Add certification & corpus-fit guidance (PB score, 4-bit distractor certificate, chunking prescription)
f7f38ad verified about 1 month ago
  • embedder
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • reranker
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • .gitattributes
    1.64 kB
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • LICENSE
    1.32 kB
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • LICENSE-xlm-roberta-large.txt
    1.14 kB
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • MODEL_CARD.md
    2.39 kB
    Rebrand card to Merino-Pro-4bit about 1 month ago
  • NOTICE
    213 Bytes
    Rebrand card to Merino-Pro-4bit about 1 month ago
  • README.md
    3.51 kB
    Add certification & corpus-fit guidance (PB score, 4-bit distractor certificate, chunking prescription) about 1 month ago
  • config.json
    833 Bytes
    Rebrand card to Merino-Pro-4bit about 1 month ago
  • modeling_baa.py
    3.77 kB
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • quant_config.json
    15.2 kB
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • requirements.txt
    59 Bytes
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago
  • weights_q4.safetensors
    875 MB
    xet
    Upload baa-ai-Embedding-Reranker-v1 about 1 month ago