| 1 | --- |
| 2 | license: apache-2.0 |
| 3 | pipeline_tag: sentence-similarity |
| 4 | library_name: sentence-transformers |
| 5 | tags: |
| 6 | - sentence-similarity |
| 7 | - feature-extraction |
| 8 | - embeddings |
| 9 | --- |
| 10 | |
| 11 | # all-MiniLM-L6-v2 |
| 12 | |
| 13 | Maps sentences and paragraphs to a 384-dimensional dense vector space for |
| 14 | semantic search, clustering, and retrieval. |
| 15 | |
| 16 | ```python |
| 17 | from sentence_transformers import SentenceTransformer |
| 18 | model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2") |
| 19 | emb = model.encode(["A sentence to embed."]) |
| 20 | ``` |