Thenlper: GTE-Base
- Model ID
- thenlper/gte-base
- Canonical slug
- thenlper/gte-base-20251117
- Knowledge cutoff
- n/a
- Created
- 11/18/2025
The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.