The all-MiniLM-L12-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, clustering, and similarity-scoring.
Sentence Transformers: all-MiniLM-L12-v2 – Provider Status and Pricing
Providers for all-MiniLM-L12-v2
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