license: apache-2.0 pipeline_tag: sentence-similarity library_name: sentence-transformers tags: - 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."])