Sentence Similarity
sentence-transformers
Safetensors
baa-embedding-reranker
retrieval
embeddings
reranker
cross-encoder
rag
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
Commit History
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Add certification & corpus-fit guidance (PB score, 4-bit distractor certificate, chunking prescription)
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Rebrand to baa.ai Merino-Nano (backbone-only attribution)
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baa.ai Embedding-Reranker-Mini-v1: unified MiniLM embed+rerank, shared word-emb (~26% smaller)
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initial commit
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