@sentence-transformers / all-MiniLM-L6-v2

384-dim sentence embeddings for semantic search.

Sentence Similarity sentence-transformers License: apache-2.0 sentence-similarity feature-extraction embeddings

all-MiniLM-L6-v2

Maps sentences and paragraphs to a 384-dimensional dense vector space for semantic search, clustering, and retrieval.

from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
emb = model.encode(["A sentence to embed."])